def bidscoiner_plugin(session: Path, bidsmap: dict, bidsses: Path) -> None:
"""
The bidscoiner plugin to convert the session DICOM and PAR/REC source-files into BIDS-valid nifti-files in the
corresponding bids session-folder and extract personals (e.g. Age, Sex) from the source header
:param session: The full-path name of the subject/session source folder
:param bidsmap: The full mapping heuristics from the bidsmap YAML-file
:param bidsses: The full-path name of the BIDS output `sub-/ses-` folder
:return: Nothing
"""
# Get the subject identifiers and the BIDS root folder from the bidsses folder
if bidsses.name.startswith('ses-'):
bidsfolder = bidsses.parent.parent
subid = bidsses.parent.name
sesid = bidsses.name
else:
bidsfolder = bidsses.parent
subid = bidsses.name
sesid = ''
# Get started and see what dataformat we have
options = bidsmap['Options']['plugins']['dcm2niix2bids']
datasource = bids.get_datasource(session, {'dcm2niix2bids': options})
dataformat = datasource.dataformat
if not dataformat:
LOGGER.info(f"No {__name__} sourcedata found in: {session}")
return
# Make a list of all the data sources / runs
manufacturer = 'UNKNOWN'
sources = []
if dataformat == 'DICOM':
sources = bidscoin.lsdirs(session)
manufacturer = datasource.attributes('Manufacturer')
elif dataformat == 'PAR':
sources = bids.get_parfiles(session)
manufacturer = 'Philips Medical Systems'
else:
LOGGER.exception(f"Unsupported dataformat '{dataformat}'")
# Read or create a scans_table and tsv-file
scans_tsv = bidsses / f"{subid}{bids.add_prefix('_',sesid)}_scans.tsv"
if scans_tsv.is_file():
scans_table = pd.read_csv(scans_tsv, sep='\t', index_col='filename')
else:
scans_table = pd.DataFrame(columns=['acq_time'], dtype='str')
scans_table.index.name = 'filename'
# Process all the source files or run subfolders
sourcefile = Path()
for source in sources:
# Get a sourcefile
if dataformat == 'DICOM':
sourcefile = bids.get_dicomfile(source)
elif dataformat == 'PAR':
sourcefile = source
if not sourcefile.name:
continue
# Get a matching run from the bidsmap
datasource = bids.DataSource(sourcefile, {'dcm2niix2bids': options},
dataformat)
run, match = bids.get_matching_run(datasource, bidsmap, runtime=True)
# Check if we should ignore this run
if datasource.datatype in bidsmap['Options']['bidscoin'][
'ignoretypes']:
LOGGER.info(f"Leaving out: {source}")
continue
# Check if we already know this run
if not match:
LOGGER.error(
f"Skipping unknown '{datasource.datatype}' run: {sourcefile}\n-> Re-run the bidsmapper and delete {bidsses} to solve this warning"
)
continue
LOGGER.info(f"Processing: {source}")
# Create the BIDS session/datatype output folder
if run['bids']['suffix'] in bids.get_derivatives(datasource.datatype):
outfolder = bidsfolder / 'derivatives' / manufacturer.replace(
' ', '') / subid / sesid / datasource.datatype
else:
outfolder = bidsses / datasource.datatype
outfolder.mkdir(parents=True, exist_ok=True)
# Compose the BIDS filename using the matched run
bidsname = bids.get_bidsname(subid, sesid, run, runtime=True)
runindex = run['bids'].get('run', '')
if runindex.startswith('<<') and runindex.endswith('>>'):
bidsname = bids.increment_runindex(outfolder, bidsname)
jsonfiles = [
(outfolder / bidsname).with_suffix('.json')
] # List -> Collect the associated json-files (for updating them later) -- possibly > 1
# Check if file already exists (-> e.g. when a static runindex is used)
if (outfolder / bidsname).with_suffix('.json').is_file():
LOGGER.warning(
f"{outfolder/bidsname}.* already exists and will be deleted -- check your results carefully!"
)
for ext in ('.nii.gz', '.nii', '.json', '.tsv', '.tsv.gz', '.bval',
'.bvec'):
(outfolder / bidsname).with_suffix(ext).unlink(missing_ok=True)
# Convert physiological log files (dcm2niix can't handle these)
if run['bids']['suffix'] == 'physio':
if bids.get_dicomfile(
source, 2).name: # TODO: issue warning or support PAR
LOGGER.warning(
f"Found > 1 DICOM file in {source}, using: {sourcefile}")
physiodata = physio.readphysio(sourcefile)
physio.physio2tsv(physiodata, outfolder / bidsname)
# Convert the source-files in the run folder to nifti's in the BIDS-folder
else:
command = '{command} {args} -f "{filename}" -o "{outfolder}" "{source}"'.format(
command=options['command'],
args=options.get('args', ''),
filename=bidsname,
outfolder=outfolder,
source=source)
if not bidscoin.run_command(command):
if not list(outfolder.glob(f"{bidsname}.nii*")): continue
if list(outfolder.glob(f"{bidsname}a.nii*")):
LOGGER.warning(
f"Unexpected variants of {outfolder/bidsname}* were produced by dcm2niix. Possibly this can be remedied by using the dcm2niix -i option (to ignore derived, localizer and 2D images)"
)
# Replace uncropped output image with the cropped one
if '-x y' in options.get('args', ''):
for dcm2niixfile in sorted(
outfolder.glob(bidsname +
'*_Crop_*')): # e.g. *_Crop_1.nii.gz
ext = ''.join(dcm2niixfile.suffixes)
newbidsfile = str(dcm2niixfile).rsplit(ext, 1)[0].rsplit(
'_Crop_', 1)[0] + ext
LOGGER.info(
f"Found dcm2niix _Crop_ postfix, replacing original file\n{dcm2niixfile} ->\n{newbidsfile}"
)
dcm2niixfile.replace(newbidsfile)
# Rename all files that got additional postfixes from dcm2niix. See: https://github.com/rordenlab/dcm2niix/blob/master/FILENAMING.md
dcm2niixpostfixes = ('_c', '_i', '_Eq', '_real', '_imaginary',
'_MoCo', '_t', '_Tilt', '_e', '_ph', '_ADC',
'_fieldmaphz')
dcm2niixfiles = sorted(
set([
dcm2niixfile for dcm2niixpostfix in dcm2niixpostfixes
for dcm2niixfile in outfolder.glob(
f"{bidsname}*{dcm2niixpostfix}*.nii*")
]))
if not jsonfiles[0].is_file(
) and dcm2niixfiles: # Possibly renamed by dcm2niix, e.g. with multi-echo data (but not always for the first echo)
jsonfiles.pop(0)
for dcm2niixfile in dcm2niixfiles:
ext = ''.join(dcm2niixfile.suffixes)
postfixes = str(dcm2niixfile).split(bidsname)[1].rsplit(
ext)[0].split('_')[1:]
newbidsname = dcm2niixfile.name # Strip the additional postfixes and assign them to bids entities in the for-loop below
for postfix in postfixes: # dcm2niix postfixes _c%d, _e%d and _ph (and any combination of these in that order) are for multi-coil data, multi-echo data and phase data
# Patch the echo entity in the newbidsname with the dcm2niix echo info # NB: We can't rely on the bids-entity info here because manufacturers can e.g. put multiple echos in one series / run-folder
if 'echo' in run['bids'] and postfix.startswith('e'):
echonr = f"_{postfix}".replace('_e',
'') # E.g. postfix='e1'
if not echonr:
echonr = '1'
if echonr.isnumeric():
newbidsname = bids.insert_bidskeyval(
newbidsname, 'echo', echonr.lstrip('0')
) # In contrast to other labels, run and echo labels MUST be integers. Those labels MAY include zero padding, but this is NOT RECOMMENDED to maintain their uniqueness
else:
LOGGER.error(
f"Unexpected postix '{postfix}' found in {dcm2niixfile}"
)
newbidsname = bids.get_bidsvalue(
newbidsname, 'dummy', postfix
) # Append the unknown postfix to the acq-label
# Patch the phase entity in the newbidsname with the dcm2niix mag/phase info
elif 'part' in run['bids'] and postfix in (
'ph', 'real', 'imaginary'
): # e.g. part: ['', 'mag', 'phase', 'real', 'imag', 0]
if postfix == 'ph':
newbidsname = bids.insert_bidskeyval(
newbidsname, 'part', 'phase')
if postfix == 'real':
newbidsname = bids.insert_bidskeyval(
newbidsname, 'part', 'real')
if postfix == 'imaginary':
newbidsname = bids.insert_bidskeyval(
newbidsname, 'part', 'imag')
# Patch fieldmap images (NB: datatype=='fmap' is too broad, see the fmap.yaml file)
elif run['bids']['suffix'] in bids.bidsdatatypes['fmap'][0][
'suffixes']: # i.e. in ('magnitude','magnitude1','magnitude2','phase1','phase2','phasediff','fieldmap'). TODO: Make this robust for future BIDS versions
if len(dcm2niixfiles) not in (
1, 2, 3, 4
): # Phase / echo data may be stored in the same data source / run folder
LOGGER.debug(
f"Unknown fieldmap {outfolder/bidsname} for '{postfix}'"
)
newbidsname = newbidsname.replace(
'_magnitude1a', '_magnitude2'
) # First catch this potential weird / rare case
newbidsname = newbidsname.replace(
'_magnitude1_pha', '_phase2'
) # First catch this potential weird / rare case
newbidsname = newbidsname.replace(
'_magnitude1_e1', '_magnitude1'
) # Case 2 = Two phase and magnitude images
newbidsname = newbidsname.replace(
'_magnitude1_e2', '_magnitude2'
) # Case 2: This can happen when the e2 image is stored in the same directory as the e1 image, but with the e2 listed first
newbidsname = newbidsname.replace(
'_magnitude2_e1', '_magnitude1'
) # Case 2: This can happen when the e2 image is stored in the same directory as the e1 image, but with the e2 listed first
newbidsname = newbidsname.replace(
'_magnitude2_e2', '_magnitude2') # Case 2
if len(dcm2niixfiles) in (
2, 3
): # Case 1 = One or two magnitude + one phasediff image
newbidsname = newbidsname.replace(
'_magnitude1_ph', '_phasediff')
newbidsname = newbidsname.replace(
'_magnitude2_ph', '_phasediff')
newbidsname = newbidsname.replace(
'_phasediff_e1', '_phasediff') # Case 1
newbidsname = newbidsname.replace(
'_phasediff_e2', '_phasediff') # Case 1
newbidsname = newbidsname.replace(
'_phasediff_ph', '_phasediff') # Case 1
newbidsname = newbidsname.replace(
'_magnitude1_ph', '_phase1'
) # Case 2: One or two magnitude and phase images in one folder / datasource
newbidsname = newbidsname.replace(
'_magnitude2_ph', '_phase2'
) # Case 2: Two magnitude + two phase images in one folder / datasource
newbidsname = newbidsname.replace(
'_phase1_e1', '_phase1') # Case 2
newbidsname = newbidsname.replace(
'_phase1_e2', '_phase2'
) # Case 2: This can happen when the e2 image is stored in the same directory as the e1 image, but with the e2 listed first
newbidsname = newbidsname.replace(
'_phase2_e1', '_phase1'
) # Case 2: This can happen when the e2 image is stored in the same directory as the e1 image, but with the e2 listed first
newbidsname = newbidsname.replace(
'_phase2_e2', '_phase2') # Case 2
newbidsname = newbidsname.replace(
'_phase1_ph', '_phase1'
) # Case 2: One or two magnitude and phase images in one folder / datasource
newbidsname = newbidsname.replace(
'_phase2_ph', '_phase2'
) # Case 2: Two magnitude + two phase images in one folder / datasource
newbidsname = newbidsname.replace(
'_magnitude_e1', '_magnitude'
) # Case 3 = One magnitude + one fieldmap image
if len(dcm2niixfiles) == 2:
newbidsname = newbidsname.replace(
'_fieldmap_e1', '_magnitude'
) # Case 3: One magnitude + one fieldmap image in one folder / datasource
newbidsname = newbidsname.replace(
'_fieldmap_e1', '_fieldmap') # Case 3
newbidsname = newbidsname.replace(
'_magnitude_ph', '_fieldmap'
) # Case 3: One magnitude + one fieldmap image in one folder / datasource
newbidsname = newbidsname.replace(
'_fieldmap_ph', '_fieldmap') # Case 3
# Append the dcm2niix info to acq-label, may need to be improved / elaborated for future BIDS standards, supporting multi-coil data
else:
newbidsname = bids.get_bidsvalue(
newbidsname, 'dummy', postfix)
# Remove the added postfix from the new bidsname
newbidsname = newbidsname.replace(f"_{postfix}_",
'_') # If it is not last
newbidsname = newbidsname.replace(f"_{postfix}.",
'.') # If it is last
# The ADC images are not BIDS compliant
if postfix == 'ADC':
LOGGER.warning(
f"The {newbidsname} image is most likely not BIDS-compliant -- you can probably delete it safely and update the scants.tsv file"
)
# Save the nifti file with a new name
if runindex.startswith('<<') and runindex.endswith('>>'):
newbidsname = bids.increment_runindex(
outfolder, newbidsname, ''
) # Update the runindex now that the acq-label has changed
newbidsfile = outfolder / newbidsname
LOGGER.info(
f"Found dcm2niix {postfixes} postfixes, renaming\n{dcm2niixfile} ->\n{newbidsfile}"
)
if newbidsfile.is_file():
LOGGER.warning(
f"Overwriting existing {newbidsfile} file -- check your results carefully!"
)
dcm2niixfile.replace(newbidsfile)
# Rename all associated files (i.e. the json-, bval- and bvec-files)
oldjsonfile = dcm2niixfile.with_suffix('').with_suffix('.json')
newjsonfile = newbidsfile.with_suffix('').with_suffix('.json')
if not oldjsonfile.is_file():
LOGGER.warning(
f"Unexpected file conversion result: {oldjsonfile} not found"
)
else:
if oldjsonfile in jsonfiles:
jsonfiles.remove(oldjsonfile)
if newjsonfile not in jsonfiles:
jsonfiles.append(newjsonfile)
for oldfile in outfolder.glob(
dcm2niixfile.with_suffix('').stem + '.*'):
oldfile.replace(
newjsonfile.with_suffix(''.join(oldfile.suffixes)))
# Copy over the source meta-data
metadata = bids.copymetadata(sourcefile, outfolder / bidsname,
options.get('meta', []))
# Loop over and adapt all the newly produced json sidecar-files and write to the scans.tsv file (NB: assumes every nifti-file comes with a json-file)
for jsonfile in sorted(set(jsonfiles)):
# Load the json meta-data
with jsonfile.open('r') as json_fid:
jsondata = json.load(json_fid)
# Add all the source meta data to the meta-data
for metakey, metaval in metadata.items():
if jsondata.get(metakey) == metaval:
LOGGER.warning(
f"Replacing {metakey} values in {jsonfile}: {jsondata[metakey]} -> {metaval}"
)
jsondata[metakey] = metaval
# Add all the run meta data to the meta-data. NB: the dynamic `IntendedFor` value is handled separately later
for metakey, metaval in run['meta'].items():
if metakey != 'IntendedFor':
metaval = datasource.dynamicvalue(metaval,
cleanup=False,
runtime=True)
try:
metaval = ast.literal_eval(str(metaval))
except (ValueError, SyntaxError):
pass
LOGGER.info(
f"Adding '{metakey}: {metaval}' to: {jsonfile}")
if not metaval:
metaval = None
jsondata[metakey] = metaval
# Remove unused (but added from the template) B0FieldIdentifiers/Sources
if not jsondata.get('B0FieldSource'):
jsondata.pop('B0FieldSource', None)
if not jsondata.get('B0FieldIdentifier'):
jsondata.pop('B0FieldIdentifier', None)
# Save the meta-data to the json sidecar-file
with jsonfile.open('w') as json_fid:
json.dump(jsondata, json_fid, indent=4)
# Parse the acquisition time from the source header or else from the json file (NB: assuming the source file represents the first acquisition)
outputfile = [
file for file in jsonfile.parent.glob(jsonfile.stem + '.*')
if file.suffix in ('.nii', '.gz')
] # Find the corresponding nifti/tsv.gz file (there should be only one, let's not make assumptions about the .gz extension)
if not outputfile:
LOGGER.exception(
f"No data-file found with {jsonfile} when updating {scans_tsv}"
)
elif datasource.datatype not in bidsmap['Options']['bidscoin'][
'bidsignore'] and not run['bids'][
'suffix'] in bids.get_derivatives(datasource.datatype):
acq_time = ''
if dataformat == 'DICOM':
acq_time = f"{datasource.attributes('AcquisitionDate')}T{datasource.attributes('AcquisitionTime')}"
elif dataformat == 'PAR':
acq_time = datasource.attributes('exam_date')
if not acq_time or acq_time == 'T':
acq_time = f"1925-01-01T{jsondata.get('AcquisitionTime','')}"
try:
acq_time = dateutil.parser.parse(acq_time)
if options.get('anon', 'y') in ('y', 'yes'):
acq_time = acq_time.replace(
year=1925, month=1, day=1
) # Privacy protection (see BIDS specification)
acq_time = acq_time.isoformat()
except Exception as jsonerror:
LOGGER.warning(
f"Could not parse the acquisition time from: {sourcefile}\n{jsonerror}"
)
acq_time = 'n/a'
scanpath = outputfile[0].relative_to(bidsses)
scans_table.loc[scanpath.as_posix(), 'acq_time'] = acq_time
# Write the scans_table to disk
LOGGER.info(f"Writing acquisition time data to: {scans_tsv}")
scans_table.sort_values(by=['acq_time', 'filename'], inplace=True)
scans_table.replace('', 'n/a').to_csv(scans_tsv,
sep='\t',
encoding='utf-8',
na_rep='n/a')
# Collect personal data from a source header (PAR/XML does not contain personal info)
personals = {}
if sesid and 'session_id' not in personals:
personals['session_id'] = sesid
personals['age'] = ''
if dataformat == 'DICOM':
age = datasource.attributes(
'PatientAge'
) # A string of characters with one of the following formats: nnnD, nnnW, nnnM, nnnY
if age.endswith('D'): age = float(age.rstrip('D')) / 365.2524
elif age.endswith('W'): age = float(age.rstrip('W')) / 52.1775
elif age.endswith('M'): age = float(age.rstrip('M')) / 12
elif age.endswith('Y'): age = float(age.rstrip('Y'))
if age:
if options.get('anon', 'y') in ('y', 'yes'):
age = int(float(age))
personals['age'] = str(age)
personals['sex'] = datasource.attributes('PatientSex')
personals['size'] = datasource.attributes('PatientSize')
personals['weight'] = datasource.attributes('PatientWeight')
# Store the collected personals in the participants_table
participants_tsv = bidsfolder / 'participants.tsv'
if participants_tsv.is_file():
participants_table = pd.read_csv(participants_tsv, sep='\t', dtype=str)
participants_table.set_index(['participant_id'],
verify_integrity=True,
inplace=True)
else:
participants_table = pd.DataFrame()
participants_table.index.name = 'participant_id'
if subid in participants_table.index and 'session_id' in participants_table.keys(
) and participants_table.loc[subid, 'session_id']:
return # Only take data from the first session -> BIDS specification
for key in personals: # TODO: Check that only values that are consistent over sessions go in the participants.tsv file, otherwise put them in a sessions.tsv file
if key not in participants_table or participants_table[key].isnull(
).get(subid, True) or participants_table[key].get(subid) == 'n/a':
participants_table.loc[subid, key] = personals[key]
# Write the collected data to the participants tsv-file
LOGGER.info(f"Writing {subid} subject data to: {participants_tsv}")
participants_table.replace('', 'n/a').to_csv(participants_tsv,
sep='\t',
encoding='utf-8',
na_rep='n/a')
def bidsmapper_plugin(session: Path, bidsmap_new: dict, bidsmap_old: dict,
template: dict, store: dict) -> None:
"""
All the logic to map the DICOM/PAR source fields onto bids labels go into this function
:param session: The full-path name of the subject/session raw data source folder
:param bidsmap_new: The new study bidsmap that we are building
:param bidsmap_old: The previous study bidsmap that has precedence over the template bidsmap
:param template: The template bidsmap with the default heuristics
:param store: The paths of the source- and target-folder
:return:
"""
# Get started
plugin = {
'dcm2niix2bids': bidsmap_new['Options']['plugins']['dcm2niix2bids']
}
datasource = bids.get_datasource(session, plugin)
dataformat = datasource.dataformat
if not dataformat:
return
# Collect the different DICOM/PAR source files for all runs in the session
sourcefiles = []
if dataformat == 'DICOM':
for sourcedir in bidscoin.lsdirs(session):
for n in range(
1
): # Option: Use range(2) to scan two files and catch e.g. magnitude1/2 fieldmap files that are stored in one Series folder (but bidscoiner sees only the first file anyhow and it makes bidsmapper 2x slower :-()
sourcefile = bids.get_dicomfile(sourcedir, n)
if sourcefile.name:
sourcefiles.append(sourcefile)
elif dataformat == 'PAR':
sourcefiles = bids.get_parfiles(session)
else:
LOGGER.exception(f"Unsupported dataformat '{dataformat}'")
# Update the bidsmap with the info from the source files
for sourcefile in sourcefiles:
# Input checks
if not sourcefile.name or (not template[dataformat]
and not bidsmap_old[dataformat]):
LOGGER.error(
f"No {dataformat} source information found in the bidsmap and template for: {sourcefile}"
)
return
# See if we can find a matching run in the old bidsmap
datasource = bids.DataSource(sourcefile, plugin, dataformat)
run, match = bids.get_matching_run(datasource, bidsmap_old)
# If not, see if we can find a matching run in the template
if not match:
run, _ = bids.get_matching_run(datasource, template)
# See if we have collected the run somewhere in our new bidsmap
if not bids.exist_run(bidsmap_new, '', run):
# Communicate with the user if the run was not present in bidsmap_old or in template, i.e. that we found a new sample
if not match:
LOGGER.info(
f"Discovered '{datasource.datatype}' {dataformat} sample: {sourcefile}"
)
# Now work from the provenance store
if store:
targetfile = store['target'] / sourcefile.relative_to(
store['source'])
targetfile.parent.mkdir(parents=True, exist_ok=True)
run['provenance'] = str(shutil.copy2(sourcefile, targetfile))
# Copy the filled-in run over to the new bidsmap
bids.append_run(bidsmap_new, run)
else:
# Communicate with the user if the run was already present in bidsmap_old or in template
LOGGER.debug(
f"Known '{datasource.datatype}' {dataformat} sample: {sourcefile}"
)
def coin_dicom(session: Path, bidsmap: dict, bidsfolder: Path, personals: dict,
subprefix: str, sesprefix: str) -> None:
"""
Converts the session dicom-files into BIDS-valid nifti-files in the corresponding bidsfolder and
extracts personals (e.g. Age, Sex) from the dicom header
:param session: The full-path name of the subject/session source folder
:param bidsmap: The full mapping heuristics from the bidsmap YAML-file
:param bidsfolder: The full-path name of the BIDS root-folder
:param personals: The dictionary with the personal information
:param subprefix: The prefix common for all source subject-folders
:param sesprefix: The prefix common for all source session-folders
:return: Nothing
"""
if not bids.lsdirs(session):
LOGGER.warning(f"No run subfolder(s) found in: {session}")
return
TE = [None, None]
# Get valid BIDS subject/session identifiers from the (first) dicom-header or from the session source folder
subid, sesid = bids.get_subid_sesid(
bids.get_dicomfile(bids.lsdirs(session)[0]),
bidsmap['DICOM']['subject'], bidsmap['DICOM']['session'], subprefix,
sesprefix)
if subid == subprefix:
LOGGER.error(f"No valid subject identifier found for: {session}")
return
# Create the BIDS session-folder and a scans.tsv file
bidsses = bidsfolder / subid / sesid
if bidsses.is_dir():
LOGGER.warning(
f"Existing BIDS output-directory found, which may result in duplicate data (with increased run-index). Make sure {bidsses} was cleaned-up from old data before (re)running the bidscoiner"
)
bidsses.mkdir(parents=True, exist_ok=True)
scans_tsv = bidsses / f"{subid}{bids.add_prefix('_',sesid)}_scans.tsv"
if scans_tsv.is_file():
scans_table = pd.read_csv(scans_tsv, sep='\t', index_col='filename')
else:
scans_table = pd.DataFrame(columns=['acq_time'], dtype='str')
scans_table.index.name = 'filename'
# Process all the dicom run subfolders
for runfolder in bids.lsdirs(session):
# Get a dicom-file
dicomfile = bids.get_dicomfile(runfolder)
if not dicomfile.name: continue
# Get a matching run from the bidsmap
run, modality, index = bids.get_matching_run(dicomfile, bidsmap)
# Check if we should ignore this run
if modality == bids.ignoremodality:
LOGGER.info(f"Leaving out: {runfolder}")
continue
# Check if we already know this run
if index is None:
LOGGER.warning(
f"Skipping unknown '{modality}': {dicomfile}\n-> re-run the bidsmapper and delete {session} to solve this warning"
)
continue
LOGGER.info(f"Processing: {runfolder}")
# Create the BIDS session/modality folder
bidsmodality = bidsses / modality
bidsmodality.mkdir(parents=True, exist_ok=True)
# Compose the BIDS filename using the matched run
bidsname = bids.get_bidsname(subid, sesid, modality, run)
runindex = run['bids']['run']
if runindex.startswith('<<') and runindex.endswith('>>'):
bidsname = bids.increment_runindex(bidsmodality, bidsname)
# Check if file already exists (-> e.g. when a static runindex is used)
if (bidsmodality / bidsname).with_suffix('.json').is_file():
LOGGER.warning(
f"{bidsmodality/bidsname}.* already exists -- check your results carefully!"
)
# Convert the dicom-files in the run folder to nifti's in the BIDS-folder
command = '{path}dcm2niix {args} -f "{filename}" -o "{outfolder}" "{infolder}"'.format(
path=bidsmap['Options']['dcm2niix']['path'],
args=bidsmap['Options']['dcm2niix']['args'],
filename=bidsname,
outfolder=bidsmodality,
infolder=runfolder)
if not bids.run_command(command):
continue
# Replace uncropped output image with the cropped one
if '-x y' in bidsmap['Options']['dcm2niix']['args']:
for filename in sorted(
bidsmodality.glob(bidsname +
'*_Crop_*')): # e.g. *_Crop_1.nii.gz
ext = ''.join(filename.suffixes)
newfilename = str(filename).rsplit(ext, 1)[0].rsplit(
'_Crop_', 1)[0] + ext
LOGGER.info(
f"Found dcm2niix _Crop_ suffix, replacing original file\n{filename} ->\n{newfilename}"
)
filename.replace(newfilename)
# Rename all files ending with _c%d, _e%d and _ph (and any combination of these): These are produced by dcm2niix for multi-coil data, multi-echo data and phase data, respectively
jsonfiles = [
] # Collect the associated json-files (for updating them later) -- possibly > 1
for dcm2niisuffix in ('_c', '_e', '_ph', '_i'):
for filename in sorted(
bidsmodality.glob(bidsname + dcm2niisuffix + '*')):
ext = ''.join(filename.suffixes)
basepath, index = str(filename).rsplit(ext, 1)[0].rsplit(
dcm2niisuffix, 1
) # basepath = the name without the added stuff (i.e. bidsmodality/bidsname), index = added dcm2niix index (e.g. _c1 -> index=1)
basesuffix = basepath.rsplit(
'_', 1
)[1] # The BIDS suffix, e.g. basepath = *_magnitude1 -> basesuffix=magnitude1
index = index.split('_')[0].zfill(
2
) # Zero padd as specified in the BIDS-standard (assuming two digits is sufficient); strip following suffices (fieldmaps produce *_e2_ph files)
# This is a special hack: dcm2niix does not always add a _c/_e suffix for the first(?) coil/echo image -> add it when we encounter a **_e2/_c2 file
if dcm2niisuffix in (
'_c', '_e'
) and int(index) == 2 and basesuffix not in [
'magnitude1', 'phase1'
]: # For fieldmaps: *_magnitude1_e[index] -> *_magnitude[index] (This is handled below)
filename_ce = Path(
basepath + ext) # The file without the _c1/_e1 suffix
if dcm2niisuffix == '_e' and bids.get_bidsvalue(
basepath, 'echo'):
newbasepath_ce = Path(
bids.get_bidsvalue(basepath, 'echo', '1'))
else:
newbasepath_ce = Path(
bids.get_bidsvalue(
basepath, 'dummy',
dcm2niisuffix.upper() + '1'.zfill(len(index)))
) # --> append to acq-label, may need to be elaborated for future BIDS standards, supporting multi-coil data
newfilename_ce = newbasepath_ce.with_suffix(
ext) # The file as it should have been
if filename_ce.is_file():
if filename_ce != newfilename_ce:
LOGGER.info(
f"Found no dcm2niix {dcm2niisuffix} suffix for image instance 1, renaming\n{filename_ce} ->\n{newfilename_ce}"
)
filename_ce.replace(newfilename_ce)
if ext == '.json':
jsonfiles.append(
newbasepath_ce.with_suffix('.json'))
# Patch the basepath with the dcm2niix suffix info (we can't rely on the basepath info here because Siemens can e.g. put multiple echos in one series / run-folder)
if dcm2niisuffix == '_e' and bids.get_bidsvalue(
basepath, 'echo') and index:
basepath = bids.get_bidsvalue(
basepath, 'echo', str(int(index))
) # In contrast to other labels, run and echo labels MUST be integers. Those labels MAY include zero padding, but this is NOT RECOMMENDED to maintain their uniqueness
elif dcm2niisuffix == '_e' and basesuffix in (
'magnitude1',
'magnitude2') and index: # i.e. modality == 'fmap'
basepath = basepath[0:-1] + str(
int(index)
) # basepath: *_magnitude1_e[index] -> *_magnitude[index]
# Collect the echo times that need to be added to the json-file (see below)
if filename.suffix == '.json':
with filename.open('r') as json_fid:
data = json.load(json_fid)
TE[int(index) - 1] = data['EchoTime']
LOGGER.info(
f"Collected EchoTime{index} = {data['EchoTime']} from: {filename}"
)
elif dcm2niisuffix == '_e' and basesuffix == 'phasediff' and index: # i.e. modality == 'fmap'
pass
elif dcm2niisuffix == '_e' and basesuffix in [
'phase1', 'phase2'
] and index: # i.e. modality == 'fmap'
basepath = basepath[0:-1] + str(
int(index)
) # basepath: *_phase1_e[index]_ph -> *_phase[index]
else:
basepath = bids.get_bidsvalue(
basepath, 'dummy',
dcm2niisuffix.upper() + index
) # --> append to acq-label, may need to be elaborated for future BIDS standards, supporting multi-coil data
# Save the file with a new name
newbidsname = str(Path(basepath).name)
if runindex.startswith('<<') and runindex.endswith('>>'):
newbidsname = bids.increment_runindex(
bidsmodality, newbidsname, ext
) # Update the runindex now that the acq-label has changed
newfilename = (bidsmodality / newbidsname).with_suffix(ext)
LOGGER.info(
f"Found dcm2niix {dcm2niisuffix} suffix, renaming\n{filename} ->\n{newfilename}"
)
filename.replace(newfilename)
if ext == '.json':
jsonfiles.append(
(bidsmodality / newbidsname).with_suffix('.json'))
# Loop over and adapt all the newly produced json files and write to the scans.tsv file (every nifti-file comes with a json-file)
if not jsonfiles:
jsonfiles = [(bidsmodality / bidsname).with_suffix('.json')]
for jsonfile in set(jsonfiles):
# Check if dcm2niix behaved as expected
if not jsonfile.is_file():
LOGGER.error(
f"Unexpected file conversion result: {jsonfile} not found")
continue
# Add a dummy b0 bval- and bvec-file for any file without a bval/bvec file (e.g. sbref, b0 scans)
if modality == 'dwi':
bvecfile = jsonfile.with_suffix('.bvec')
bvalfile = jsonfile.with_suffix('.bval')
if not bvecfile.is_file():
LOGGER.info(f"Adding dummy bvec file: {bvecfile}")
with bvecfile.open('w') as bvec_fid:
bvec_fid.write('0\n0\n0\n')
if not bvalfile.is_file():
LOGGER.info(f"Adding dummy bval file: {bvalfile}")
with bvalfile.open('w') as bval_fid:
bval_fid.write('0\n')
# Add the TaskName to the func json-file
elif modality == 'func':
with jsonfile.open('r') as json_fid:
data = json.load(json_fid)
if not 'TaskName' in data:
LOGGER.info(f"Adding TaskName to: {jsonfile}")
data['TaskName'] = run['bids']['task']
with jsonfile.open('w') as json_fid:
json.dump(data, json_fid, indent=4)
# Add the EchoTime(s) used to create the difference image to the fmap json-file. NB: This assumes the magnitude runs have already been parsed (i.e. their nifti's had an _e suffix) -- This is normally the case for Siemens (phase-runs being saved after the magnitude runs
elif modality == 'fmap':
if run['bids']['suffix'] == 'phasediff':
LOGGER.info(
f"Adding EchoTime1: {TE[0]} and EchoTime2: {TE[1]} to {jsonfile}"
)
if TE[0] is None or TE[1] is None:
LOGGER.warning(
f"Missing Echo-Time data for: {jsonfile}")
elif TE[0] > TE[1]:
LOGGER.warning(
f"EchoTime1 > EchoTime2 for: {jsonfile}")
with jsonfile.open('r') as json_fid:
data = json.load(json_fid)
data['EchoTime1'] = TE[0]
data['EchoTime2'] = TE[1]
with jsonfile.open('w') as json_fid:
json.dump(data, json_fid, indent=4)
# Parse the acquisition time from the json file or else from the dicom header (NB: assuming the dicom file represents the first aqcuisition)
with jsonfile.open('r') as json_fid:
data = json.load(json_fid)
if 'AcquisitionTime' not in data:
data['AcquisitionTime'] = bids.get_dicomfield(
'AcquisitionTime', dicomfile)
acq_time = dateutil.parser.parse(data['AcquisitionTime'])
scanpath = list(
jsonfile.parent.glob(jsonfile.stem + '.nii*')
)[0].relative_to(
bidsses
) # Find the corresponding nifti file (there should be only one, let's not make assumptions about the .gz extension)
scans_table.loc[
scanpath.as_posix(),
'acq_time'] = '1900-01-01T' + acq_time.strftime('%H:%M:%S')
# Write the scans_table to disk
LOGGER.info(f"Writing acquisition time data to: {scans_tsv}")
scans_table.sort_values(by=['acq_time', 'filename'], inplace=True)
scans_table.to_csv(scans_tsv, sep='\t', encoding='utf-8')
# Search for the IntendedFor images and add them to the json-files. This has been postponed untill all modalities have been processed (i.e. so that all target images are indeed on disk)
if bidsmap['DICOM']['fmap'] is not None:
for fieldmap in bidsmap['DICOM']['fmap']:
bidsname = bids.get_bidsname(subid, sesid, 'fmap', fieldmap)
niifiles = []
intendedfor = fieldmap['bids']['IntendedFor']
# Search for the imaging files that match the IntendedFor search criteria
if intendedfor:
if intendedfor.startswith('<<') and intendedfor.endswith('>>'):
intendedfor = intendedfor[2:-2].split('><')
elif not isinstance(intendedfor, list):
intendedfor = [intendedfor]
for selector in intendedfor:
niifiles.extend(
[
Path(niifile).relative_to(bidsfolder / subid)
for niifile in sorted(
bidsses.rglob(f"*{selector}*.nii*"))
if selector
]
) # Search in all runs using a relative path to the subject folder
else:
intendedfor = []
# Save the IntendedFor data in the json-files (account for multiple runs and dcm2niix suffixes inserted into the acquisition label)
acqlabel = bids.get_bidsvalue(bidsname, 'acq')
for jsonfile in list((bidsses/'fmap').glob(bidsname.replace('_run-1_', '_run-[0-9]*_') + '.json')) + \
list((bidsses/'fmap').glob(bidsname.replace('_run-1_', '_run-[0-9]*_').replace(acqlabel, acqlabel+'[CE][0-9]*') + '.json')):
if niifiles:
LOGGER.info(f"Adding IntendedFor to: {jsonfile}")
elif intendedfor:
LOGGER.warning(
f"Empty 'IntendedFor' fieldmap value in {jsonfile}: the search for {intendedfor} gave no results"
)
else:
LOGGER.warning(
f"Empty 'IntendedFor' fieldmap value in {jsonfile}: the IntendedFor value of the bidsmap entry was empty"
)
with jsonfile.open('r') as json_fid:
data = json.load(json_fid)
data['IntendedFor'] = [
niifile.as_posix() for niifile in niifiles
] # The path needs to use forward slashes instead of backward slashes
with jsonfile.open('w') as json_fid:
json.dump(data, json_fid, indent=4)
# Catch magnitude2 and phase2 files produced by dcm2niix (i.e. magnitude1 & magnitude2 both in the same runfolder)
if jsonfile.name.endswith(
'magnitude1.json') or jsonfile.name.endswith(
'phase1.json'):
jsonfile2 = jsonfile.with_name(
jsonfile.name.rsplit('1.json', 1)[0] + '2.json')
if jsonfile2.is_file():
with jsonfile2.open('r') as json_fid:
data = json.load(json_fid)
if 'IntendedFor' not in data:
if niifiles:
LOGGER.info(
f"Adding IntendedFor to: {jsonfile2}")
else:
LOGGER.warning(
f"Empty 'IntendedFor' fieldmap value in {jsonfile2}: the search for {intendedfor} gave no results"
)
data['IntendedFor'] = [
niifile.as_posix() for niifile in niifiles
] # The path needs to use forward slashes instead of backward slashes
with jsonfile2.open('w') as json_fid:
json.dump(data, json_fid, indent=4)
# Collect personal data from the DICOM header: only from the first session (-> BIDS specification)
if 'runfolder' in locals():
dicomfile = bids.get_dicomfile(runfolder)
personals['participant_id'] = subid
if sesid:
if 'session_id' not in personals:
personals['session_id'] = sesid
else:
return
age = bids.get_dicomfield(
'PatientAge', dicomfile
) # A string of characters with one of the following formats: nnnD, nnnW, nnnM, nnnY
if age.endswith('D'):
personals['age'] = str(int(float(age.rstrip('D')) / 365.2524))
elif age.endswith('W'):
personals['age'] = str(int(float(age.rstrip('W')) / 52.1775))
elif age.endswith('M'):
personals['age'] = str(int(float(age.rstrip('M')) / 12))
elif age.endswith('Y'):
personals['age'] = str(int(float(age.rstrip('Y'))))
elif age:
personals['age'] = age
personals['sex'] = bids.get_dicomfield('PatientSex', dicomfile)
personals['size'] = bids.get_dicomfield('PatientSize', dicomfile)
personals['weight'] = bids.get_dicomfield('PatientWeight', dicomfile)
def coin_data2bids(dataformat: str, session: Path, bidsmap: dict,
bidsfolder: Path, personals: dict, subprefix: str,
sesprefix: str) -> None:
"""
Converts the session source-files into BIDS-valid nifti-files in the corresponding bidsfolder and
extracts personals (e.g. Age, Sex) from the source header
:param dataformat: The format of the raw input data that is to be coined (e.g. 'DICOM' or 'PAR', see bids.get_dataformat)
:param session: The full-path name of the subject/session source file/folder
:param bidsmap: The full mapping heuristics from the bidsmap YAML-file
:param bidsfolder: The full-path name of the BIDS root-folder
:param personals: The dictionary with the personal information
:param subprefix: The prefix common for all source subject-folders
:param sesprefix: The prefix common for all source session-folders
:return: Nothing
"""
# Get valid BIDS subject/session identifiers from the (first) DICOM- or PAR/XML source file
if dataformat == 'DICOM':
sourcefile = Path()
sources = bids.lsdirs(session)
for source in sources:
sourcefile = bids.get_dicomfile(source)
manufacturer = bids.get_dicomfield('Manufacturer', sourcefile)
if sourcefile.name:
break
elif dataformat == 'PAR':
sources = bids.get_parfiles(session)
manufacturer = 'Philips Medical Systems'
if sources:
sourcefile = sources[0]
else:
LOGGER.error(
f"Unsupported data format: {dataformat}\nPlease report this bug")
return
if not sources:
LOGGER.info(f"No data found for: {session}")
return
subid, sesid = bids.get_subid_sesid(sourcefile,
bidsmap[dataformat]['subject'],
bidsmap[dataformat]['session'],
subprefix, sesprefix)
if subid == subprefix:
LOGGER.error(f"No valid subject identifier found for: {session}")
return
# Create the BIDS session-folder and a scans.tsv file
bidsses = bidsfolder / subid / sesid
if bidsses.is_dir():
LOGGER.warning(
f"Existing BIDS output-directory found, which may result in duplicate data (with increased run-index). Make sure {bidsses} was cleaned-up from old data before (re)running the bidscoiner"
)
bidsses.mkdir(parents=True, exist_ok=True)
scans_tsv = bidsses / f"{subid}{bids.add_prefix('_',sesid)}_scans.tsv"
if scans_tsv.is_file():
scans_table = pd.read_csv(scans_tsv, sep='\t', index_col='filename')
else:
scans_table = pd.DataFrame(columns=['acq_time'], dtype='str')
scans_table.index.name = 'filename'
# Process all the source files or run subfolders
for source in sources:
# Get a source-file
if dataformat == 'DICOM':
sourcefile = bids.get_dicomfile(source)
elif dataformat == 'PAR':
sourcefile = source
if not sourcefile.name:
continue
# Get a matching run from the bidsmap
run, datatype, index = bids.get_matching_run(sourcefile, bidsmap,
dataformat)
# Check if we should ignore this run
if datatype == bids.ignoredatatype:
LOGGER.info(f"Leaving out: {source}")
continue
# Check if we already know this run
if index is None:
LOGGER.error(
f"Skipping unknown '{datatype}' run: {sourcefile}\n-> Re-run the bidsmapper and delete {bidsses} to solve this warning"
)
continue
LOGGER.info(f"Processing: {source}")
# Create the BIDS session/datatype output folder
if run['bids']['suffix'] in bids.get_derivatives(datatype):
outfolder = bidsfolder / 'derivatives' / manufacturer.replace(
' ', '') / subid / sesid / datatype
else:
outfolder = bidsses / datatype
outfolder.mkdir(parents=True, exist_ok=True)
# Compose the BIDS filename using the matched run
bidsname = bids.get_bidsname(subid, sesid, run)
runindex = run['bids'].get('run', '')
if runindex.startswith('<<') and runindex.endswith('>>'):
bidsname = bids.increment_runindex(outfolder, bidsname)
jsonfiles = [
(outfolder / bidsname).with_suffix('.json')
] # List -> Collect the associated json-files (for updating them later) -- possibly > 1
# Check if file already exists (-> e.g. when a static runindex is used)
if (outfolder / bidsname).with_suffix('.json').is_file():
LOGGER.warning(
f"{outfolder/bidsname}.* already exists and will be deleted -- check your results carefully!"
)
for ext in ('.nii.gz', '.nii', '.json', '.bval', '.bvec',
'tsv.gz'):
(outfolder / bidsname).with_suffix(ext).unlink(missing_ok=True)
# Convert physiological log files (dcm2niix can't handle these)
if run['bids']['suffix'] == 'physio':
if bids.get_dicomfile(source, 2).name:
LOGGER.warning(
f"Found > 1 DICOM file in {source}, using: {sourcefile}")
physiodata = physio.readphysio(sourcefile)
physio.physio2tsv(physiodata, outfolder / bidsname)
# Convert the source-files in the run folder to nifti's in the BIDS-folder
else:
command = '{path}dcm2niix {args} -f "{filename}" -o "{outfolder}" "{source}"'.format(
path=bidsmap['Options']['dcm2niix']['path'],
args=bidsmap['Options']['dcm2niix']['args'],
filename=bidsname,
outfolder=outfolder,
source=source)
if not bids.run_command(command):
continue
# Replace uncropped output image with the cropped one
if '-x y' in bidsmap['Options']['dcm2niix']['args']:
for dcm2niixfile in sorted(
outfolder.glob(bidsname +
'*_Crop_*')): # e.g. *_Crop_1.nii.gz
ext = ''.join(dcm2niixfile.suffixes)
newbidsfile = str(dcm2niixfile).rsplit(ext, 1)[0].rsplit(
'_Crop_', 1)[0] + ext
LOGGER.info(
f"Found dcm2niix _Crop_ postfix, replacing original file\n{dcm2niixfile} ->\n{newbidsfile}"
)
dcm2niixfile.replace(newbidsfile)
# Rename all files that got additional postfixes from dcm2niix. See: https://github.com/rordenlab/dcm2niix/blob/master/FILENAMING.md
dcm2niixpostfixes = ('_c', '_i', '_Eq', '_real', '_imaginary',
'_MoCo', '_t', '_Tilt', '_e', '_ph')
dcm2niixfiles = sorted(
set([
dcm2niixfile for dcm2niixpostfix in dcm2niixpostfixes
for dcm2niixfile in outfolder.glob(
f"{bidsname}*{dcm2niixpostfix}*")
]))
for dcm2niixfile in dcm2niixfiles:
ext = ''.join(dcm2niixfile.suffixes)
postfixes = str(dcm2niixfile).split(bidsname)[1].rsplit(
ext)[0].split('_')[1:]
newbidsname = dcm2niixfile.name # Strip the additional postfixes and assign them to bids entities in the for-loop below
for postfix in postfixes: # dcm2niix postfixes _c%d, _e%d and _ph (and any combination of these in that order) are for multi-coil data, multi-echo data and phase data
# Patch the echo entity in the newbidsname with the dcm2niix echo info # NB: We can't rely on the bids-entity info here because manufacturers can e.g. put multiple echos in one series / run-folder
if postfix[0] == 'e' and bids.get_bidsvalue(
newbidsname, 'echo'
): # NB: Check if postfix[0]=='e' uniquely refers to the right dcm2niixpostfix
echonr = f"_{postfix}" # E.g. echonr='_e1' or echonr='_pha'
for dcm2niixpostfix in dcm2niixpostfixes:
echonr = echonr.replace(
dcm2niixpostfix, ''
) # Strip the dcm2niixpostfix to keep the echonr info. E.g. [echonr='_e1' or echonr='_pha'] -> [echonr='1' or echonr='a']
if echonr.isalpha():
echonr = ord(
echonr
) - 95 # dcm2niix adds an alphabetically ordered character if it outputs more than one image with the same name. Convert character to echo-number: '' -> 1, 'a'->2, etc
elif not echonr:
echonr = 1
newbidsname = bids.get_bidsvalue(
newbidsname, 'echo', str(echonr)
) # In contrast to other labels, run and echo labels MUST be integers. Those labels MAY include zero padding, but this is NOT RECOMMENDED to maintain their uniqueness
# Patch fieldmap images (NB: datatype=='fmap' is too broad, see the fmap.yaml file)
elif run['bids']['suffix'] in ('magnitude', 'magnitude1',
'magnitude2', 'phase1',
'phase2', 'phasediff',
'fieldmap'):
if len(dcm2niixfiles) not in (
0, 2, 4, 6, 8
): # Phase / echo data may be stored in the same data source / run folder
LOGGER.warning(
f"Unknown fieldmap {outfolder/bidsname} for '{postfix}'"
)
newbidsname = newbidsname.replace(
'_fieldmap_ph', '_fieldmap')
newbidsname = newbidsname.replace(
'_magnitude_e1', '_magnitude')
newbidsname = newbidsname.replace(
'_magnitude_ph', '_fieldmap')
newbidsname = newbidsname.replace(
'_magnitude1_e1', '_magnitude1')
newbidsname = newbidsname.replace(
'_magnitude2_e1', '_magnitude1'
) # This can happen when the e2 image is stored in the same directory as the e1 image, but with the e2 listed first
newbidsname = newbidsname.replace(
'_magnitude1_e2', '_magnitude2')
if len(dcm2niixfiles) == 8:
newbidsname = newbidsname.replace(
'_magnitude1_ph', '_phase1'
) # Two magnitude + 2 phase images in one folder / datasource
else:
newbidsname = newbidsname.replace(
'_magnitude1_ph', '_phasediff'
) # One or two magnitude + 1 phasediff image
newbidsname = newbidsname.replace(
'_magnitude1a', '_magnitude2')
newbidsname = newbidsname.replace(
'_magnitude1_pha', '_phase2')
newbidsname = newbidsname.replace(
'_magnitude2_e2', '_magnitude2')
newbidsname = newbidsname.replace(
'_magnitude2_ph', '_phase2')
newbidsname = newbidsname.replace(
'_phase1_e1', '_phase1')
newbidsname = newbidsname.replace(
'_phase2_e1', '_phase1'
) # This can happen when the e2 image is stored in the same directory as the e1 image, but with the e2 listed first
newbidsname = newbidsname.replace(
'_phase1_ph', '_phase1')
newbidsname = newbidsname.replace(
'_phase1_e2', '_phase2')
newbidsname = newbidsname.replace(
'_phase2_e2', '_phase2')
newbidsname = newbidsname.replace(
'_phase2_ph', '_phase2')
# Append the dcm2niix info to acq-label, may need to be improved / elaborated for future BIDS standards, supporting multi-coil data
else:
newbidsname = bids.get_bidsvalue(
newbidsname, 'dummy', postfix)
# Remove the added postfix from the new bidsname
newbidsname = newbidsname.replace(f"_{postfix}_",
'_') # If it is not last
newbidsname = newbidsname.replace(f"_{postfix}.",
'.') # If it is last
# Save the file with a new name
if runindex.startswith('<<') and runindex.endswith('>>'):
newbidsname = bids.increment_runindex(
outfolder, newbidsname, ''
) # Update the runindex now that the acq-label has changed
newbidsfile = outfolder / newbidsname
LOGGER.info(
f"Found dcm2niix {postfixes} postfixes, renaming\n{dcm2niixfile} ->\n{newbidsfile}"
)
if newbidsfile.is_file():
LOGGER.warning(
f"Overwriting existing {newbidsfile} file -- check your results carefully!"
)
dcm2niixfile.replace(newbidsfile)
if ext == '.json':
oldjsonfile = (outfolder / bidsname).with_suffix('.json')
if oldjsonfile in jsonfiles and not oldjsonfile.is_file():
jsonfiles.remove(
(outfolder / bidsname).with_suffix('.json'))
jsonfiles.append(newbidsfile)
# Loop over and adapt all the newly produced json files and write to the scans.tsv file (every nifti-file comes with a json-file)
for jsonfile in sorted(set(jsonfiles)):
# Check if dcm2niix behaved as expected
if not jsonfile.is_file():
LOGGER.error(
f"Unexpected file conversion result: {jsonfile} not found")
continue
# Add a dummy b0 bval- and bvec-file for any file without a bval/bvec file (e.g. sbref, b0 scans)
if datatype == 'dwi':
bvecfile = jsonfile.with_suffix('.bvec')
bvalfile = jsonfile.with_suffix('.bval')
if not bvecfile.is_file():
LOGGER.info(f"Adding dummy bvec file: {bvecfile}")
with bvecfile.open('w') as bvec_fid:
bvec_fid.write('0\n0\n0\n')
if not bvalfile.is_file():
LOGGER.info(f"Adding dummy bval file: {bvalfile}")
with bvalfile.open('w') as bval_fid:
bval_fid.write('0\n')
# Add the TaskName to the func json-file
elif datatype == 'func':
with jsonfile.open('r') as json_fid:
data = json.load(json_fid)
if not 'TaskName' in data:
LOGGER.info(f"Adding TaskName to: {jsonfile}")
data['TaskName'] = run['bids']['task']
with jsonfile.open('w') as json_fid:
json.dump(data, json_fid, indent=4)
# Parse the acquisition time from the json file or else from the source header (NB: assuming the source file represents the first acquisition)
niifile = list(
jsonfile.parent.glob(jsonfile.stem + '.nii*')
) # Find the corresponding nifti file (there should be only one, let's not make assumptions about the .gz extension)
if niifile and datatype not in bidsmap['Options']['bidscoin'][
'bidsignore'] and not run['bids'][
'suffix'] in bids.get_derivatives(datatype):
with jsonfile.open('r') as json_fid:
data = json.load(json_fid)
if 'AcquisitionTime' not in data or not data['AcquisitionTime']:
data['AcquisitionTime'] = bids.get_sourcefield(
'AcquisitionTime', sourcefile) # DICOM
if not data['AcquisitionTime']:
data['AcquisitionTime'] = bids.get_sourcefield(
'exam_date', sourcefile) # PAR/XML
try:
acq_time = dateutil.parser.parse(data['AcquisitionTime'])
except:
LOGGER.warning(
f"Could not parse the acquisition time from: '{data['AcquisitionTime']}' in {sourcefile}"
)
acq_time = dateutil.parser.parse('00:00:00')
scanpath = niifile[0].relative_to(bidsses)
scans_table.loc[
scanpath.as_posix(),
'acq_time'] = '1925-01-01T' + acq_time.strftime('%H:%M:%S')
# Write the scans_table to disk
LOGGER.info(f"Writing acquisition time data to: {scans_tsv}")
scans_table.sort_values(by=['acq_time', 'filename'], inplace=True)
scans_table.to_csv(scans_tsv, sep='\t', encoding='utf-8')
# Add IntendedFor and TE1+TE2 meta-data to the fieldmap json-files. This has been postponed untill all datatypes have been processed (i.e. so that all target images are indeed on disk)
if bidsmap[dataformat]['fmap'] is not None:
for fieldmap in bidsmap[dataformat]['fmap']:
bidsname = bids.get_bidsname(subid, sesid, fieldmap)
niifiles = []
intendedfor = fieldmap['bids']['IntendedFor']
# Search for the imaging files that match the IntendedFor search criteria
if intendedfor:
if intendedfor.startswith('<<') and intendedfor.endswith('>>'):
intendedfor = intendedfor[2:-2].split('><')
elif not isinstance(intendedfor, list):
intendedfor = [intendedfor]
for selector in intendedfor:
niifiles.extend(
[
Path(niifile).relative_to(bidsfolder / subid)
for niifile in sorted(
bidsses.rglob(f"*{selector}*.nii*"))
if selector
]
) # Search in all runs using a relative path to the subject folder
else:
intendedfor = []
# Get the set of json-files (account for multiple runs in one data source and dcm2niix postfixes inserted into the acquisition label)
jsonfiles = []
acqlabel = bids.get_bidsvalue(bidsname, 'acq')
patterns = (bidsname.replace('_run-1_', '_run-[0-9]*_').replace(
'_magnitude1',
'_magnitude*').replace('_magnitude2', '_magnitude*').replace(
'_phase1', '_phase*').replace('_phase2', '_phase*'),
bidsname.replace('_run-1_', '_run-[0-9]*_').replace(
'_magnitude1',
'_phase*').replace('_magnitude2', '_phase*'))
for pattern in patterns:
jsonfiles.extend((bidsses / 'fmap').glob(pattern + '.json'))
if acqlabel:
cepattern = bids.get_bidsvalue(pattern, 'acq',
acqlabel + '[CE][0-9]*')
jsonfiles.extend(
list((bidsses / 'fmap').glob(cepattern + '.json')))
# Save the meta-data in the jsonfiles
for jsonfile in sorted(set(jsonfiles)):
# Add the IntendedFor data
with jsonfile.open('r') as json_fid:
data = json.load(json_fid)
if 'IntendedFor' not in data:
if niifiles:
LOGGER.info(f"Adding IntendedFor to: {jsonfile}")
elif intendedfor:
LOGGER.warning(
f"Empty 'IntendedFor' fieldmap value in {jsonfile}: the search for {intendedfor} gave no results"
)
else:
LOGGER.warning(
f"Empty 'IntendedFor' fieldmap value in {jsonfile}: the IntendedFor value of the bidsmap entry was empty"
)
data['IntendedFor'] = [
niifile.as_posix() for niifile in niifiles
] # The path needs to use forward slashes instead of backward slashes
with jsonfile.open('w') as json_fid:
json.dump(data, json_fid, indent=4)
# Extract the echo times from magnitude1 and magnitude2 and add them to the phasediff json-file
if jsonfile.name.endswith('phasediff.json'):
json_magnitude = [None, None]
TE = [None, None]
for n in (0, 1):
json_magnitude[
n] = jsonfile.parent / jsonfile.name.replace(
'_phasediff', f"_magnitude{n+1}")
if not json_magnitude[n].is_file():
LOGGER.error(
f"Could not find expected magnitude{n+1} image associated with: {jsonfile}"
)
else:
with json_magnitude[n].open('r') as json_fid:
data = json.load(json_fid)
TE[n] = data['EchoTime']
if None in TE:
LOGGER.error(
f"Cannot find and add valid EchoTime1={TE[0]} and EchoTime2={TE[1]} data to: {jsonfile}"
)
elif TE[0] > TE[1]:
LOGGER.error(
f"Found invalid EchoTime1={TE[0]} > EchoTime2={TE[1]} for: {jsonfile}"
)
else:
with jsonfile.open('r') as json_fid:
data = json.load(json_fid)
data['EchoTime1'] = TE[0]
data['EchoTime2'] = TE[1]
LOGGER.info(
f"Adding EchoTime1: {TE[0]} and EchoTime2: {TE[1]} to {jsonfile}"
)
with jsonfile.open('w') as json_fid:
json.dump(data, json_fid, indent=4)
# Collect personal data from a source header (PAR/XML does not contain personal info)
if dataformat == 'DICOM' and sourcefile.name:
personals['participant_id'] = subid
if sesid:
if 'session_id' not in personals:
personals['session_id'] = sesid
else:
return # Only take data from the first session -> BIDS specification
age = bids.get_dicomfield(
'PatientAge', sourcefile
) # A string of characters with one of the following formats: nnnD, nnnW, nnnM, nnnY
if age.endswith('D'):
personals['age'] = str(int(float(age.rstrip('D')) / 365.2524))
elif age.endswith('W'):
personals['age'] = str(int(float(age.rstrip('W')) / 52.1775))
elif age.endswith('M'):
personals['age'] = str(int(float(age.rstrip('M')) / 12))
elif age.endswith('Y'):
personals['age'] = str(int(float(age.rstrip('Y'))))
elif age:
personals['age'] = age
personals['sex'] = bids.get_dicomfield('PatientSex', sourcefile)
personals['size'] = bids.get_dicomfield('PatientSize', sourcefile)
personals['weight'] = bids.get_dicomfield('PatientWeight', sourcefile)
def bidsmapper_plugin(session: Path, bidsmap_new: dict, bidsmap_old: dict,
template: dict, store: dict) -> None:
"""
All the heuristics spec2nii2bids attributes and properties onto bids labels and meta-data go into this plugin function.
The function is expected to update / append new runs to the bidsmap_new data structure. The bidsmap options for this plugin
are stored in:
bidsmap_new['Options']['plugins']['spec2nii2bids']
:param session: The full-path name of the subject/session raw data source folder
:param bidsmap_new: The new study bidsmap that we are building
:param bidsmap_old: The previous study bidsmap that has precedence over the template bidsmap
:param template: The template bidsmap with the default heuristics
:param store: The paths of the source- and target-folder
:return:
"""
# Get the plugin settings
plugin = {
'spec2nii2bids': bidsmap_new['Options']['plugins']['spec2nii2bids']
}
# Update the bidsmap with the info from the source files
for sourcefile in [
file for file in session.rglob('*') if is_sourcefile(file)
]:
datasource = bids.DataSource(sourcefile, plugin)
dataformat = datasource.dataformat
# Input checks
if not template[dataformat] and not bidsmap_old[dataformat]:
LOGGER.error(
f"No {dataformat} source information found in the bidsmap and template for: {sourcefile}"
)
return
if not template.get(dataformat) and not bidsmap_old.get(dataformat):
LOGGER.error(
f"No {dataformat} source information found in the bidsmap and template for: {sourcefile}"
)
return
# See if we can find a matching run in the old bidsmap
run, match = bids.get_matching_run(datasource, bidsmap_old)
# If not, see if we can find a matching run in the template
if not match:
run, _ = bids.get_matching_run(datasource, template)
# See if we have collected the run somewhere in our new bidsmap
if not bids.exist_run(bidsmap_new, '', run):
# Communicate with the user if the run was not present in bidsmap_old or in template, i.e. that we found a new sample
if not match:
LOGGER.info(
f"Discovered '{datasource.datatype}' {dataformat} sample: {sourcefile}"
)
# Now work from the provenance store
if store:
targetfile = store['target'] / sourcefile.relative_to(
store['source'])
targetfile.parent.mkdir(parents=True, exist_ok=True)
run['provenance'] = str(shutil.copy2(sourcefile, targetfile))
# Copy the filled-in run over to the new bidsmap
bids.append_run(bidsmap_new, run)
else:
# Communicate with the user if the run was already present in bidsmap_old or in template
LOGGER.debug(
f"Known '{datasource.datatype}' {dataformat} sample: {sourcefile}"
)
def bidscoiner_plugin(session: Path, bidsmap: dict, bidsses: Path) -> None:
"""
This wrapper funtion around spec2nii converts the MRS data in the session folder and saves it in the bidsfolder.
Each saved datafile should be accompanied with a json sidecar file. The bidsmap options for this plugin can be found in:
bidsmap_new['Options']['plugins']['spec2nii2bids']
:param session: The full-path name of the subject/session raw data source folder
:param bidsmap: The full mapping heuristics from the bidsmap YAML-file
:param bidsses: The full-path name of the BIDS output `sub-/ses-` folder
:return: Nothing
"""
# Get the subject identifiers and the BIDS root folder from the bidsses folder
if bidsses.name.startswith('ses-'):
bidsfolder = bidsses.parent.parent
subid = bidsses.parent.name
sesid = bidsses.name
else:
bidsfolder = bidsses.parent
subid = bidsses.name
sesid = ''
# Get started and see what dataformat we have
options = bidsmap['Options']['plugins']['spec2nii2bids']
datasource = bids.get_datasource(session, {'spec2nii2bids': options})
dataformat = datasource.dataformat
sourcefiles = [file for file in session.rglob('*') if is_sourcefile(file)]
if not sourcefiles:
LOGGER.info(f"No {__name__} sourcedata found in: {session}")
return
# Read or create a scans_table and tsv-file
scans_tsv = bidsses / f"{subid}{bids.add_prefix('_',sesid)}_scans.tsv"
if scans_tsv.is_file():
scans_table = pd.read_csv(scans_tsv, sep='\t', index_col='filename')
else:
scans_table = pd.DataFrame(columns=['acq_time'], dtype='str')
scans_table.index.name = 'filename'
# Loop over all MRS source data files and convert them to BIDS
for sourcefile in sourcefiles:
# Get a data source, a matching run from the bidsmap
datasource = bids.DataSource(sourcefile, {'spec2nii2bids': options})
run, index = bids.get_matching_run(datasource, bidsmap, runtime=True)
# Check if we should ignore this run
if datasource.datatype in bidsmap['Options']['bidscoin'][
'ignoretypes']:
LOGGER.info(f"Leaving out: {sourcefile}")
continue
# Check that we know this run
if index is None:
LOGGER.error(
f"Skipping unknown '{datasource.datatype}' run: {sourcefile}\n-> Re-run the bidsmapper and delete the MRS output data in {bidsses} to solve this warning"
)
continue
LOGGER.info(f"Processing: {sourcefile}")
# Create the BIDS session/datatype output folder
outfolder = bidsses / datasource.datatype
outfolder.mkdir(parents=True, exist_ok=True)
# Compose the BIDS filename using the matched run
bidsname = bids.get_bidsname(subid, sesid, run, runtime=True)
runindex = run['bids'].get('run', '')
if runindex.startswith('<<') and runindex.endswith('>>'):
bidsname = bids.increment_runindex(outfolder, bidsname)
jsonfile = (outfolder / bidsname).with_suffix('.json')
# Check if file already exists (-> e.g. when a static runindex is used)
if jsonfile.is_file():
LOGGER.warning(
f"{outfolder/bidsname}.* already exists and will be deleted -- check your results carefully!"
)
for ext in ('.nii.gz', '.nii', '.json', '.bval', '.bvec',
'.tsv.gz'):
(outfolder / bidsname).with_suffix(ext).unlink(missing_ok=True)
# Run spec2nii to convert the source-files in the run folder to nifti's in the BIDS-folder
arg = ''
args = options.get('args', OPTIONS['args'])
if args is None:
args = ''
if dataformat == 'SPAR':
dformat = 'philips'
arg = f'"{sourcefile.with_suffix(".SDAT")}"'
elif dataformat == 'Twix':
dformat = 'twix'
arg = '-e image'
elif dataformat == 'Pfile':
dformat = 'ge'
else:
LOGGER.exception(f"Unsupported dataformat: {dataformat}")
command = options.get("command", "spec2nii")
if not bidscoin.run_command(
f'{command} {dformat} -j -f "{bidsname}" -o "{outfolder}" {args} {arg} "{sourcefile}"'
):
if not list(outfolder.glob(f"{bidsname}.nii*")): continue
# Load and adapt the newly produced json sidecar-file (NB: assumes every nifti-file comes with a json-file)
with jsonfile.open('r') as json_fid:
jsondata = json.load(json_fid)
# Copy over the source meta-data
metadata = bids.copymetadata(sourcefile, outfolder / bidsname,
options.get('meta', []))
for metakey, metaval in metadata.items():
if jsondata.get(metakey) == metaval:
LOGGER.warning(
f"Replacing {metakey} values in {jsonfile}: {jsondata[metakey]} -> {metaval}"
)
jsondata[metakey] = metaval
# Add all the meta data to the json-file
for metakey, metaval in run['meta'].items():
metaval = datasource.dynamicvalue(metaval,
cleanup=False,
runtime=True)
try:
metaval = ast.literal_eval(str(metaval))
except (ValueError, SyntaxError):
pass
LOGGER.info(f"Adding '{metakey}: {metaval}' to: {jsonfile}")
if not metaval:
metaval = None
jsondata[metakey] = metaval
# Save the meta data to disk
with jsonfile.open('w') as json_fid:
json.dump(jsondata, json_fid, indent=4)
# Parse the acquisition time from the source header or else from the json file (NB: assuming the source file represents the first acquisition)
if datasource.datatype not in bidsmap['Options']['bidscoin'][
'bidsignore'] and not run['bids'][
'suffix'] in bids.get_derivatives(datasource.datatype):
acq_time = ''
if dataformat == 'SPAR':
acq_time = datasource.attributes('scan_date')
elif dataformat == 'Twix':
acq_time = f"{datasource.attributes('AcquisitionDate')}T{datasource.attributes('AcquisitionTime')}"
elif dataformat == 'Pfile':
acq_time = f"{datasource.attributes('rhr_rh_scan_date')}T{datasource.attributes('rhr_rh_scan_time')}"
if not acq_time or acq_time == 'T':
acq_time = f"1925-01-01T{jsondata.get('AcquisitionTime','')}"
try:
acq_time = dateutil.parser.parse(acq_time)
if options.get('anon', OPTIONS['anon']) in ('y', 'yes'):
acq_time = acq_time.replace(
year=1925, month=1,
day=1) # Privacy protection (see BIDS specification)
acq_time = acq_time.isoformat()
except Exception as jsonerror:
LOGGER.warning(
f"Could not parse the acquisition time from: {sourcefile}\n{jsonerror}"
)
acq_time = 'n/a'
scans_table.loc[jsonfile.with_suffix('.nii.gz').
relative_to(bidsses).as_posix(),
'acq_time'] = acq_time
# Write the scans_table to disk
LOGGER.info(f"Writing acquisition time data to: {scans_tsv}")
scans_table.sort_values(by=['acq_time', 'filename'], inplace=True)
scans_table.replace('', 'n/a').to_csv(scans_tsv,
sep='\t',
encoding='utf-8',
na_rep='n/a')
# Collect personal data from a source header
personals = {}
if sesid and 'session_id' not in personals:
personals['session_id'] = sesid
age = ''
if sesid and 'session_id' not in personals:
personals['session_id'] = sesid
if dataformat == 'Twix':
personals['sex'] = datasource.attributes('PatientSex')
personals['size'] = datasource.attributes('PatientSize')
personals['weight'] = datasource.attributes('PatientWeight')
age = datasource.attributes(
'PatientAge'
) # A string of characters with one of the following formats: nnnD, nnnW, nnnM, nnnY
elif dataformat == 'Pfile':
sex = datasource.attributes('rhe_patsex')
if sex == '0': personals['sex'] = 'O'
elif sex == '1': personals['sex'] = 'M'
elif sex == '2': personals['sex'] = 'F'
age = dateutil.parser.parse(
datasource.attributes('rhr_rh_scan_date')) - dateutil.parser.parse(
datasource.attributes('rhe_dateofbirth'))
age = str(age.days) + 'D'
if age.endswith('D'): age = float(age.rstrip('D')) / 365.2524
elif age.endswith('W'): age = float(age.rstrip('W')) / 52.1775
elif age.endswith('M'): age = float(age.rstrip('M')) / 12
elif age.endswith('Y'): age = float(age.rstrip('Y'))
if age and options.get('anon', OPTIONS['anon']) in ('y', 'yes'):
age = int(float(age))
personals['age'] = str(age)
# Store the collected personals in the participants_table
participants_tsv = bidsfolder / 'participants.tsv'
if participants_tsv.is_file():
participants_table = pd.read_csv(participants_tsv, sep='\t', dtype=str)
participants_table.set_index(['participant_id'],
verify_integrity=True,
inplace=True)
else:
participants_table = pd.DataFrame()
participants_table.index.name = 'participant_id'
if subid in participants_table.index and 'session_id' in participants_table.keys(
) and participants_table.loc[subid, 'session_id']:
return # Only take data from the first session -> BIDS specification
for key in personals: # TODO: Check that only values that are consistent over sessions go in the participants.tsv file, otherwise put them in a sessions.tsv file
if key not in participants_table or participants_table[key].isnull(
).get(subid, True) or participants_table[key].get(subid) == 'n/a':
participants_table.loc[subid, key] = personals[key]
# Write the collected data to the participants tsv-file
LOGGER.info(f"Writing {subid} subject data to: {participants_tsv}")
participants_table.replace('', 'n/a').to_csv(participants_tsv,
sep='\t',
encoding='utf-8',
na_rep='n/a')
def build_dicommap(runfolder: Path, bidsmap_new: dict, bidsmap_old: dict,
template: dict, gui: object) -> dict:
"""
All the logic to map dicom-attributes (fields/tags) onto bids-labels go into this function
:param runfolder: The full-path name of the series-folder containing source dicom-files
:param bidsmap_new: The bidsmap that we are building
:param bidsmap_old: Full BIDS heuristics data structure, with all options, BIDS labels and attributes, etc
:param template: The bidsmap template with the default heuristics
:param gui: If not None, the user will not be asked for help if an unknown run is encountered
:return: The bidsmap with new entries in it
"""
# Input checks
dicomfile = bids.get_dicomfile(runfolder)
if not dicomfile.name or (not template['DICOM']
and not bidsmap_old['DICOM']):
LOGGER.info('No DICOM information found in the bidsmap and template')
return bidsmap_new
# See if we can find a matching run in the old bidsmap
run, modality, index = bids.get_matching_run(dicomfile, bidsmap_old)
# If not, see if we can find a matching run in the template
if index is None:
run, modality, _ = bids.get_matching_run(dicomfile, template)
# See if we have collected the run in our new bidsmap
if not bids.exist_run(bidsmap_new, 'DICOM', '', run):
# Copy the filled-in run over to the new bidsmap
bidsmap_new = bids.append_run(bidsmap_new, 'DICOM', modality, run)
# Communicate with the user if the run was not present in bidsmap_old or in template
LOGGER.info(f"New '{modality}' sample found: {dicomfile}")
# Launch a GUI to ask the user for help if the new run comes from the template (i.e. was not yet in the old bidsmap)
if gui and gui.interactive == 2 and index is None:
# Open the interactive edit window to get the new mapping
dialog_edit = bidseditor.EditDialog(dicomfile, modality,
bidsmap_new, template,
gui.subprefix, gui.sesprefix)
dialog_edit.exec()
# Get the result
if dialog_edit.result() == 1: # The user has finished the edit
bidsmap_new = dialog_edit.target_bidsmap
elif dialog_edit.result() in [
0, 2
]: # The user has canceled / aborted the edit
answer = QMessageBox.question(
None, 'BIDSmapper',
'Do you want to abort and quit the bidsmapper?',
QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
if answer == QMessageBox.No:
pass
if answer == QMessageBox.Yes:
LOGGER.info('User has quit the bidsmapper')
sys.exit()
else:
LOGGER.debug(
f'Unexpected result {dialog_edit.result()} from the edit dialog'
)
return bidsmap_new
def bidscoiner_plugin(session: Path, bidsmap: dict, bidsses: Path) -> None:
"""
This wrapper funtion around phys2bids converts the physio data in the session folder and saves it in the bidsfolder.
Each saved datafile should be accompanied with a json sidecar file. The bidsmap options for this plugin can be found in:
bidsmap_new['Options']['plugins']['phys2bidscoin']
See also the dcm2niix2bids plugin for reference implementation
:param session: The full-path name of the subject/session raw data source folder
:param bidsmap: The full mapping heuristics from the bidsmap YAML-file
:param bidsses: The full-path name of the BIDS output `sub-/ses-` folder
:return: Nothing
"""
# Get the subject identifiers and the BIDS root folder from the bidsses folder
if bidsses.name.startswith('ses-'):
bidsfolder = bidsses.parent.parent
subid = bidsses.parent.name
sesid = bidsses.name
else:
bidsfolder = bidsses.parent
subid = bidsses.name
sesid = ''
# Get started
plugin = {'phys2bidscoin': bidsmap['Options']['plugins']['phys2bidscoin']}
datasource = bids.get_datasource(session, plugin)
sourcefiles = [file for file in session.rglob('*') if is_sourcefile(file)]
if not sourcefiles:
LOGGER.info(f"No {__name__} sourcedata found in: {session}")
return
# Loop over all source data files and convert them to BIDS
for sourcefile in sourcefiles:
# Get a data source, a matching run from the bidsmap
datasource = bids.DataSource(sourcefile, plugin, datasource.dataformat)
run, match = bids.get_matching_run(datasource, bidsmap, runtime=True)
# Check if we should ignore this run
if datasource.datatype in bidsmap['Options']['bidscoin'][
'ignoretypes']:
LOGGER.info(f"Leaving out: {sourcefile}")
continue
# Check that we know this run
if not match:
LOGGER.error(
f"Skipping unknown '{datasource.datatype}' run: {sourcefile}\n-> Re-run the bidsmapper and delete the physiological output data in {bidsses} to solve this warning"
)
continue
LOGGER.info(f"Processing: {sourcefile}")
# Get an ordered list of the func runs from the scans.tsv file (which should have a standardized datetime format)
scans_tsv = bidsses / f"{subid}{bids.add_prefix('_', sesid)}_scans.tsv"
if scans_tsv.is_file():
scans_table = pd.read_csv(scans_tsv,
sep='\t',
index_col='filename')
scans_table.sort_values(by=['acq_time', 'filename'], inplace=True)
else:
LOGGER.error(
f"Could not read the TR's for phys2bids due to a missing '{scans_tsv}' file"
)
continue
funcscans = []
for index, row in scans_table.iterrows():
if index.startswith('func/'):
funcscans.append(index)
# Then read the TR's from the associated func sidecar files
tr = []
for funcscan in funcscans:
with (bidsses /
funcscan).with_suffix('.json').open('r') as json_fid:
jsondata = json.load(json_fid)
tr.append(jsondata['RepetitionTime'])
# Create a heuristic function for phys2bids
heur_str = ('def heur(physinfo, run=""):\n'
' info = {}\n'
f' if physinfo == "{sourcefile.name}":')
for key, val in run['bids'].items():
heur_str = (f'{heur_str}' f'\n info["{key}"] = "{val}"')
heur_str = f'{heur_str}\n return info'
# Write heuristic function as file in temporary folder
heur_file = Path(
tempfile.mkdtemp()) / f'heuristic_sub-{subid}_ses-{sesid}.py'
heur_file.write_text(heur_str)
# Run phys2bids
physiofiles = phys2bids(
filename=str(sourcefile),
outdir=str(bidsfolder),
heur_file=str(heur_file),
sub=subid,
ses=sesid,
chtrig=int(run['meta'].get('TriggerChannel', 0)),
num_timepoints_expected=run['meta'].get('ExpectedTimepoints',
None),
tr=tr,
pad=run['meta'].get('Pad', 9),
ch_name=run['meta'].get('ChannelNames', []),
yml='',
debug=True,
quiet=False)
# Add user-specified meta-data to the newly produced json files (NB: assumes every physio-file comes with a json-file)
for physiofile in physiofiles:
jsonfile = Path(physiofile).with_suffix('.json')
if not jsonfile.is_file():
LOGGER.error(
f"Could not find the expected json sidecar-file: '{jsonfile}'"
)
continue
with jsonfile.open('r') as json_fid:
jsondata = json.load(json_fid)
for metakey, metaval in run['meta'].items():
metaval = datasource.dynamicvalue(metaval,
cleanup=False,
runtime=True)
try:
metaval = ast.literal_eval(str(metaval))
except (ValueError, SyntaxError):
pass
LOGGER.info(f"Adding '{metakey}: {metaval}' to: {jsonfile}")
if not metaval:
metaval = None
jsondata[metakey] = metaval
with jsonfile.open('w') as json_fid:
json.dump(jsondata, json_fid, indent=4)
def build_bidsmap(dataformat: str, sourcefile: Path, bidsmap_new: dict,
bidsmap_old: dict, template: dict, store: dict,
gui: object) -> dict:
"""
All the logic to map the Philips PAR/XML fields onto bids labels go into this function
:param dataformat: The information source in the bidsmap that is used, e.g. 'DICOM'
:param sourcefile: The full-path name of the source file
:param bidsmap_new: The bidsmap that we are building
:param bidsmap_old: Full BIDS heuristics data structure, with all options, BIDS labels and attributes, etc
:param template: The bidsmap template with the default heuristics
:param store: The paths of the source- and target-folder
:param gui: If not None, the user will not be asked for help if an unknown run is encountered
:return: The bidsmap with new entries in it
"""
# Input checks
if not sourcefile.name or (not template[dataformat]
and not bidsmap_old[dataformat]):
LOGGER.info(
f"No {dataformat} source information found in the bidsmap and template"
)
return bidsmap_new
# See if we can find a matching run in the old bidsmap
run, modality, index = bids.get_matching_run(sourcefile, bidsmap_old,
dataformat)
# If not, see if we can find a matching run in the template
if index is None:
run, modality, _ = bids.get_matching_run(sourcefile, template,
dataformat)
# See if we have collected the run in our new bidsmap
if not bids.exist_run(bidsmap_new, dataformat, '', run):
# Now work from the provenance store
if store:
targetfile = store['target'] / sourcefile.relative_to(
store['source'])
targetfile.parent.mkdir(parents=True, exist_ok=True)
sourcefile = Path(shutil.copy2(sourcefile, targetfile))
run['provenance'] = str(sourcefile.resolve())
# Communicate with the user if the run was not present in bidsmap_old or in template, i.e. that we found a new sample
LOGGER.info(f"Found '{modality}' {dataformat} sample: {sourcefile}")
# Copy the filled-in run over to the new bidsmap
bidsmap_new = bids.append_run(bidsmap_new, dataformat, modality, run)
# Launch a GUI to ask the user for help if the new run comes from the template (i.e. was not yet in the old bidsmap)
if gui and gui.interactive == 2 and index is None:
# Open the interactive edit window to get the new mapping
dialog_edit = bidseditor.EditDialog(dataformat, sourcefile,
modality, bidsmap_new,
template, gui.subprefix,
gui.sesprefix)
dialog_edit.exec()
# Get the result
if dialog_edit.result() == 1: # The user has finished the edit
bidsmap_new = dialog_edit.target_bidsmap
elif dialog_edit.result() in [
0, 2
]: # The user has canceled / aborted the edit
answer = QMessageBox.question(
None, 'BIDSmapper',
'Do you want to abort and quit the bidsmapper?',
QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
if answer == QMessageBox.No:
pass
if answer == QMessageBox.Yes:
LOGGER.info('User has quit the bidsmapper')
sys.exit()
else:
LOGGER.debug(
f'Unexpected result {dialog_edit.result()} from the edit dialog'
)
return bidsmap_new
def bidsmapper_plugin(session: Path, bidsmap_new: dict, bidsmap_old: dict,
template: dict, store: dict) -> None:
"""
All the logic to map the Nibabel header fields onto bids labels go into this function
:param session: The full-path name of the subject/session raw data source folder
:param bidsmap_new: The new study bidsmap that we are building
:param bidsmap_old: The previous study bidsmap that has precedence over the template bidsmap
:param template: The template bidsmap with the default heuristics
:param store: The paths of the source- and target-folder
:return:
"""
# Get started
plugin = {
'nibabel2bids': bidsmap_new['Options']['plugins']['nibabel2bids']
}
datasource = bids.get_datasource(session, plugin, recurse=2)
if not datasource.dataformat:
return
if not (template[datasource.dataformat]
or bidsmap_old[datasource.dataformat]):
LOGGER.error(
f"No {datasource.dataformat} source information found in the bidsmap and template"
)
return
# Collect the different DICOM/PAR source files for all runs in the session
for sourcefile in [
file for file in session.rglob('*') if is_sourcefile(file)
]:
# See if we can find a matching run in the old bidsmap
datasource = bids.DataSource(sourcefile, plugin, datasource.dataformat)
run, match = bids.get_matching_run(datasource, bidsmap_old)
# If not, see if we can find a matching run in the template
if not match:
run, _ = bids.get_matching_run(datasource, template)
# See if we have collected the run somewhere in our new bidsmap
if not bids.exist_run(bidsmap_new, '', run):
# Communicate with the user if the run was not present in bidsmap_old or in template, i.e. that we found a new sample
if not match:
LOGGER.info(
f"Discovered '{datasource.datatype}' {datasource.dataformat} sample: {sourcefile}"
)
# Now work from the provenance store
if store:
targetfile = store['target'] / sourcefile.relative_to(
store['source'])
targetfile.parent.mkdir(parents=True, exist_ok=True)
run['provenance'] = str(shutil.copy2(sourcefile, targetfile))
# Copy the filled-in run over to the new bidsmap
bids.append_run(bidsmap_new, run)
else:
# Communicate with the user if the run was already present in bidsmap_old or in template
LOGGER.debug(
f"Known '{datasource.datatype}' {datasource.dataformat} sample: {sourcefile}"
)
def bidscoiner_plugin(session: Path, bidsmap: dict, bidsses: Path) -> None:
"""
The bidscoiner plugin to convert the session Nibabel source-files into BIDS-valid nifti-files in the
corresponding bids session-folder
:param session: The full-path name of the subject/session source folder
:param bidsmap: The full mapping heuristics from the bidsmap YAML-file
:param bidsses: The full-path name of the BIDS output `sub-/ses-` folder
:return: Nothing
"""
# Get the subject identifiers and the BIDS root folder from the bidsses folder
if bidsses.name.startswith('ses-'):
bidsfolder = bidsses.parent.parent
subid = bidsses.parent.name
sesid = bidsses.name
else:
bidsfolder = bidsses.parent
subid = bidsses.name
sesid = ''
# Get started
options = bidsmap['Options']['plugins']['nibabel2bids']
ext = options.get('ext', OPTIONS['ext'])
meta = options.get('meta', [])
sourcefiles = [file for file in session.rglob('*') if is_sourcefile(file)]
if not sourcefiles:
LOGGER.info(f"No {__name__} sourcedata found in: {session}")
return
# Read or create a scans_table and tsv-file
scans_tsv = bidsses / f"{subid}{bids.add_prefix('_', sesid)}_scans.tsv"
if scans_tsv.is_file():
scans_table = pd.read_csv(scans_tsv, sep='\t', index_col='filename')
else:
scans_table = pd.DataFrame(columns=['acq_time'], dtype='str')
scans_table.index.name = 'filename'
# Collect the different Nibabel source files for all files in the session
for sourcefile in sourcefiles:
datasource = bids.DataSource(sourcefile, {'nibabel2bids': options})
run, match = bids.get_matching_run(datasource, bidsmap, runtime=True)
# Check if we should ignore this run
if datasource.datatype in bidsmap['Options']['bidscoin'][
'ignoretypes']:
LOGGER.info(f"Leaving out: {sourcefile}")
continue
# Check if we already know this run
if not match:
LOGGER.error(
f"Skipping unknown '{datasource.datatype}' run: {sourcefile}\n-> Re-run the bidsmapper and delete {bidsses} to solve this warning"
)
continue
LOGGER.info(f"Processing: {sourcefile}")
# Create the BIDS session/datatype output folder
outfolder = bidsses / datasource.datatype
outfolder.mkdir(parents=True, exist_ok=True)
# Compose the BIDS filename using the matched run
bidsname = bids.get_bidsname(subid, sesid, run, runtime=True)
runindex = run['bids'].get('run', '')
if runindex.startswith('<<') and runindex.endswith('>>'):
bidsname = bids.increment_runindex(outfolder, bidsname)
bidsfile = (outfolder / bidsname).with_suffix(ext)
# Check if file already exists (-> e.g. when a static runindex is used)
if bidsfile.is_file():
LOGGER.warning(
f"{bidsfile}.* already exists and will be deleted -- check your results carefully!"
)
bidsfile.with_suffix('').with_suffix(ext).unlink()
# Save the sourcefile as a BIDS nifti file
nib.save(nib.load(sourcefile), bidsfile)
# Copy over the source meta-data
jsonfile = bidsfile.with_suffix('').with_suffix('.json')
jsondata = bids.copymetadata(sourcefile, bidsfile, meta)
# Add all the meta data to the meta-data. NB: the dynamic `IntendedFor` value is handled separately later
for metakey, metaval in run['meta'].items():
if metakey != 'IntendedFor':
metaval = datasource.dynamicvalue(metaval,
cleanup=False,
runtime=True)
try:
metaval = ast.literal_eval(str(metaval))
except (ValueError, SyntaxError):
pass
LOGGER.info(f"Adding '{metakey}: {metaval}' to: {jsonfile}")
if not metaval:
metaval = None
jsondata[metakey] = metaval
# Remove unused (but added from the template) B0FieldIdentifiers/Sources
if not jsondata.get('B0FieldSource'):
jsondata.pop('B0FieldSource', None)
if not jsondata.get('B0FieldIdentifier'):
jsondata.pop('B0FieldIdentifier', None)
# Save the meta-data to the json sidecar-file
with jsonfile.open('w') as json_fid:
json.dump(jsondata, json_fid, indent=4)
# Add an entry to the scans_table (we typically don't have useful data to put there)
acq_time = dateutil.parser.parse(
f"1925-01-01T{jsondata.get('AcquisitionTime', '')}")
scans_table.loc[bidsfile.relative_to(bidsses).as_posix(),
'acq_time'] = acq_time.isoformat()
# Write the scans_table to disk
LOGGER.info(f"Writing data to: {scans_tsv}")
scans_table.replace('', 'n/a').to_csv(scans_tsv,
sep='\t',
encoding='utf-8',
na_rep='n/a')
# Add an (empty) entry to the participants_table (we don't have useful data to put there)
participants_tsv = bidsfolder / 'participants.tsv'
if participants_tsv.is_file():
participants_table = pd.read_csv(participants_tsv, sep='\t', dtype=str)
participants_table.set_index(['participant_id'],
verify_integrity=True,
inplace=True)
else:
participants_table = pd.DataFrame()
participants_table.index.name = 'participant_id'
if subid in participants_table.index and 'session_id' in participants_table.keys(
) and participants_table.loc[subid, 'session_id']:
return # Only take data from the first session -> BIDS specification
participants_table.loc[subid, 'session_id'] = sesid if sesid else None
# Write the collected data to the participants tsv-file
LOGGER.info(f"Writing {subid} subject data to: {participants_tsv}")
participants_table.replace('', 'n/a').to_csv(participants_tsv,
sep='\t',
encoding='utf-8',
na_rep='n/a')