def infotodict(seqinfo):
"""Heuristic evaluator for determining which runs belong where
allowed template fields - follow python string module:
item: index within category
subject: participant id
seqitem: run number during scanning
subindex: sub index within group
"""
# call cfmm for general labelling and get dictionary
info = cfmminfodict(seqinfo)
ContRecog = create_key(
'sub-{subject}/func/sub-{subject}_task-ContRecog_run-{item:02d}_bold')
ContRecog_sbref = create_key(
'sub-{subject}/func/sub-{subject}_task-ContRecog_run-{item:02d}_sbref')
info[ContRecog] = []
info[ContRecog_sbref] = []
for idx, s in enumerate(seqinfo):
#func continuous recognition memory task
if ('cmrr_ep' in s.protocol_name and 'test' not in s.protocol_name):
if (s.dim4 == 1 and 'SBRef' in (s.series_description).strip()):
info[ContRecog_sbref].append({'item': s.series_id})
elif (s.dim4 > 1):
info[ContRecog].append({'item': s.series_id})
return info
def infotodict(seqinfo):
"""Heuristic evaluator for determining which runs belong where
allowed template fields - follow python string module:
item: index within category
subject: participant id
seqitem: run number during scanning
subindex: sub index within group
"""
# call cfmm for general labelling and get dictionary
info = cfmminfodict(seqinfo)
# create functional keys
bold_mag = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-rest_part-mag_run-{item:02d}_bold'
)
bold_phase = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-rest_part-phase_run-{item:02d}_bold'
)
bold_sbref = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-rest_run-{item:02d}_sbref'
)
# add functional keys to the dictionary
info[bold_mag] = []
info[bold_phase] = []
info[bold_sbref] = []
for idx, s in enumerate(seqinfo):
#bold
if ('bold' in s.protocol_name):
if (s.dim4 > 2 and ('M' in s.image_type[2].strip())):
info[bold_mag].append({'item': s.series_id})
if (s.dim4 > 2 and ('P' in s.image_type[2].strip())):
info[bold_phase].append({'item': s.series_id})
if (s.dim4 <= 2 and 'SBRef' in (s.series_description).strip()):
info[bold_sbref].append({'item': s.series_id})
return info
def infotodict(seqinfo):
"""Heuristic evaluator for determining which runs belong where
allowed template fields - follow python string module:
item: index within category
subject: participant id
seqitem: run number during scanning
subindex: sub index within group
"""
# call cfmm for general labelling and get dictionary
info = cfmminfodict(seqinfo)
# create functional keys
task_ge = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-{task}_acq-ge_part-mag_run-{run}_bold'
)
task_ge_phase = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-{task}_acq-ge_part-phase_run-{run}_bold'
)
task_se = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-{task}_acq-se_run-{run}_bold'
)
# add functional keys to the dictionary
info[task_ge] = []
info[task_ge_phase] = []
info[task_se] = []
# Now we loop through seqinfo again to grab just the functional files
# the tasks are told apart by the length of the runs (will also ignore partial runs)
# also save acquisition time in mag and phase list
magacq = []
semagacq = []
phaseacq = []
for idx, s in enumerate(seqinfo):
if ('bold' in s.protocol_name):
if ('se' in (s.sequence_name).strip()):
if (s.dim4 == 102):
if ('M' in (s.image_type[2].strip())):
info[task_se].append({
'item': s.series_id,
'acqtime': s.acquisition_time,
'task': 'checkerboard'
})
semagacq.append(float(s.acquisition_time))
elif (s.dim4 == 64):
if ('M' in (s.image_type[2].strip())):
info[task_se].append({
'item': s.series_id,
'acqtime': s.acquisition_time,
'task': 'visuotopy'
})
semagacq.append(float(s.acquisition_time))
elif ('fid' in (s.sequence_name).strip()):
if (s.dim4 == 102):
if (
('M' == (s.image_type[2].strip()))
or (('FMRI' in (s.image_type[2].strip())) and
('mbep2d' != s.series_description[0:6]))
): #If realtime was on phase will start with mb and mag with act
info[task_ge].append({
'item': s.series_id,
'acqtime': s.acquisition_time,
'task': 'checkerboard'
})
magacq.append(float(s.acquisition_time))
elif (
('P' == (s.image_type[2].strip()))
or (('FMRI' in (s.image_type[2].strip())) and
('mbep2d' == s.series_description[0:6]))
): #If realtime was on phase will start with mb and mag with act
info[task_ge_phase].append({
'item': s.series_id,
'acqtime': s.acquisition_time,
'task': 'checkerboard'
})
phaseacq.append(float(s.acquisition_time))
elif (s.dim4 == 64):
if (('M' == (s.image_type[2].strip()))
or (('FMRI' in (s.image_type[2].strip())) and
('mbep2d' != s.series_description[0:6]))):
info[task_ge].append({
'item': s.series_id,
'acqtime': s.acquisition_time,
'task': 'visuotopy'
})
magacq.append(float(s.acquisition_time))
elif (('P' == (s.image_type[2].strip()))
or (('FMRI' in (s.image_type[2].strip())) and
('mbep2d' == s.series_description[0:6]))):
info[task_ge_phase].append({
'item': s.series_id,
'acqtime': s.acquisition_time,
'task': 'visuotopy'
})
phaseacq.append(float(s.acquisition_time))
# Now we have all the sequences in the right bins we need to link up the magnitudes and phases from the GE to ensure the runs match
# find the unique magnitude runs and sort by start times
magtimes = list(sorted(set(magacq)))
semagtimes = list(sorted(set(semagacq)))
# find the pairs of indicies corresponding to the same run
magind = [None] * len(magtimes)
phaseind = [None] * len(magtimes)
for i in xrange(len(magtimes)):
#find last phase file with that acq time (vunerable: assumes last phase recon is correct recon)
magind[i] = magacq.index(magtimes[i])
try:
phaseind[i] = len(phaseacq) - 1 - (phaseacq[::-1]).index(
magtimes[i])
except:
phaseind[i] = -1 # no phase run found do not append it
# put the results sorted back into info
maginfo = info[task_ge]
phaseinfo = info[task_ge_phase]
seinfo = info[task_se]
info[task_se] = []
info[task_ge] = []
info[task_ge_phase] = []
for i in xrange(len(semagtimes)):
print(i)
info[task_se].append(seinfo[i])
info[task_se][i]['run'] = str(i + 1).zfill(2)
for i in xrange(len(magind)):
info[task_ge].append(maginfo[magind[i]])
info[task_ge][i]['run'] = str(i + 1).zfill(2)
if phaseind[i] > -1: # if no run found phase is not appended
phaseinfo[phaseind[i]]['run'] = str(i + 1).zfill(2)
info[task_ge_phase].append(phaseinfo[phaseind[i]])
return info
def infotodict(seqinfo):
"""Heuristic evaluator for determining which runs belong where
allowed template fields - follow python string module:
item: index within category
subject: participant id
seqitem: run number during scanning
subindex: sub index within group
"""
# call cfmm for general labelling and get dictionary
info = cfmminfodict(seqinfo)
task_intact = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-intact_run-{item:02d}_bold'
)
task_scrambled = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-scrambled_run-{item:02d}_bold'
)
task_soundcheck = create_key(
'sourcedata/soundcheck_bold/{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-soundcheck_run-{item:02d}_bold'
)
discarded = create_key(
'sourcedata/discarded_bold/{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-{task}_run-{item:02d}_bold'
)
info[task_intact] = []
info[task_scrambled] = []
info[task_soundcheck] = []
info[discarded] = []
for idx, s in enumerate(seqinfo):
if ('bold' in s.protocol_name
or 'tasking_state' in s.series_description
or 'mbep2d' in (s.series_description).strip()
or 'ep_bold' in (s.series_description).strip()
and not ('diff' in s.protocol_name
or 'DWI' in s.series_description)):
if ('SBRef' in (s.series_description).strip()):
print('skipping sbref')
else:
#check what task it is
if ('soundcheck' in (s.series_description).strip().lower()):
taskname = 'soundcheck'
taskvols = 40
if (s.dim4 < taskvols):
info[discarded].append({
'item': s.series_id,
'task': taskname
})
elif (s.dim4 == taskvols):
info[task_soundcheck].append({
'item': s.series_id,
'task': taskname
})
elif ('intact' in (s.series_description).strip().lower()):
taskname = 'intact'
taskvols = 320
if (s.dim4 < taskvols):
info[discarded].append({
'item': s.series_id,
'task': taskname
})
elif (s.dim4 == taskvols):
info[task_intact].append({
'item': s.series_id,
'task': taskname
})
elif ('scrambled' in (s.series_description).strip().lower()):
taskname = 'scrambled'
taskvols = 320
if (s.dim4 < taskvols):
info[discarded].append({
'item': s.series_id,
'task': taskname
})
elif (s.dim4 == taskvols):
info[task_scrambled].append({
'item': s.series_id,
'task': taskname
})
else:
continue
return info
def infotodict(seqinfo):
"""Heuristic evaluator for determining which runs belong where
allowed template fields - follow python string module:
item: index within category
subject: participant id
seqitem: run number during scanning
subindex: sub index within group
"""
# call cfmm for general labelling and get dictionary
info = cfmminfodict(seqinfo)
rest = create_key(
'sub-{subject}/func/sub-{subject}_task-rest_run-{item:02d}_bold')
rest_sbref = create_key(
'sub-{subject}/func/sub-{subject}_task-rest_run-{item:02d}_sbref')
rest_psf = create_key(
'sub-{subject}/func/sub-{subject}_task-rest_acq-psf_run-{item:02d}_bold'
)
rest_psf_dico = create_key(
'sub-{subject}/func/sub-{subject}_task-rest_acq-psf_rec-dico_run-{item:02d}_bold'
)
movie = create_key(
'sub-{subject}/func/sub-{subject}_task-movie_run-{item:02d}_bold')
movie_sbref = create_key(
'sub-{subject}/func/sub-{subject}_task-movie_run-{item:02d}_sbref')
fmap_PA = create_key('sub-{subject}/fmap/sub-{subject}_dir-PA_epi')
fmap_PA_sbref = create_key('sub-{subject}/fmap/sub-{subject}_dir-PA_sbref')
info[rest] = []
info[rest_sbref] = []
info[rest_psf] = []
info[rest_psf_dico] = []
info[movie] = []
info[movie_sbref] = []
info[fmap_PA] = []
info[fmap_PA_sbref] = []
for idx, s in enumerate(seqinfo):
#rs func (incl opp phase enc)
if ('Movie' in (s.series_description).strip()):
if (s.dim4 == 1 and 'SBRef' in (s.series_description).strip()):
info[movie_sbref].append({'item': s.series_id})
elif (s.dim4 > 1):
info[movie].append({'item': s.series_id})
elif ('bold' in s.protocol_name
or 'resting_state' in s.series_description
or 'mbep2d' in (s.series_description).strip()
or 'ep_bold' in (s.series_description).strip()):
if (s.dim4 == 1 and 'SBRef' in (s.series_description).strip()):
info[rest_sbref].append({'item': s.series_id})
elif (s.dim4 > 1):
info[rest].append({'item': s.series_id})
if ('mi_ep2d' in (s.series_description).strip() and s.dim4 > 1):
if ('DICO' in (s.image_type[4].strip())):
info[rest_psf_dico].append({'item': s.series_id})
else:
info[rest_psf].append({'item': s.series_id})
if ('PA' in (s.series_description).strip()):
if (s.dim4 == 1):
if 'SBRef' in (s.series_description).strip():
info[fmap_PA_sbref].append({'item': s.series_id})
else:
info[fmap_PA].append({'item': s.series_id})
return info
def infotodict(seqinfo):
"""Heuristic evaluator for determining which runs belong where
allowed template fields - follow python string module:
item: index within category
subject: participant id
seqitem: run number during scanning
subindex: sub index within group
"""
# call cfmm for general labelling and get dictionary
info = cfmminfodict(seqinfo)
task_ge = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-{task}_part-mag_run-{item:02d}_bold'
)
task_ge_phase = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-{task}_part-phase_run-{item:02d}_bold'
)
task_sbref = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-{task}_run-{item:02d}_sbref'
)
gre_diff = create_key(
'{bids_subject_session_dir}/fmap/{bids_subject_session_prefix}_run-{item:02d}_phasediff'
)
gre_magnitude = create_key(
'{bids_subject_session_dir}/fmap/{bids_subject_session_prefix}_run-{item:02d}_magnitude'
)
fmap_diff = create_key(
'{bids_subject_session_dir}/fmap/{bids_subject_session_prefix}_phasediff'
)
fmap_magnitude = create_key(
'{bids_subject_session_dir}/fmap/{bids_subject_session_prefix}_magnitude'
)
del info[fmap_diff]
del info[fmap_magnitude]
info[task_ge] = []
info[task_ge_phase] = []
info[task_sbref] = []
info[gre_diff] = []
info[gre_magnitude] = []
magacq = []
phaseacq = []
for idx, s in enumerate(seqinfo):
print(idx, s.series_description, s.image_type)
if ('bold' in (s.series_description).strip()):
if s.dim4 == 1 and 'SBRef' in (s.series_description).strip(
) and 'M' == s.image_type[2].strip():
info[task_sbref].append({'item': s.series_id, 'task': 'rest'})
elif (s.dim4 > 1):
if 'M' == s.image_type[2].strip():
timestr = s.series_uid.split('.')[-4][8:14]
acquisition_time = (int(timestr[0:2]) * 60 + int(
timestr[2:4])) * 60 + int(timestr[4:])
info[task_ge].append({
'item': s.series_id,
'acqtime': acquisition_time,
'task': 'rest'
})
magacq.append(acquisition_time)
print(idx, 'is magnitude bold')
elif 'P' == s.image_type[2].strip():
print(idx, 'is phase bold')
timestr = s.series_uid.split('.')[-4][8:14]
acquisition_time = (int(timestr[0:2]) * 60 + int(
timestr[2:4])) * 60 + int(timestr[4:])
info[task_ge_phase].append({
'item': s.series_id,
'acqtime': acquisition_time,
'task': 'rest'
})
phaseacq.append(acquisition_time)
if ('field_mapping' in s.protocol_name):
if (s.dim4 == 1
and 'gre_field_mapping' in (s.series_description).strip()):
if ('P' in (s.image_type[2].strip())):
info[gre_diff].append({'item': s.series_id})
if ('M' in (s.image_type[2].strip())):
info[gre_magnitude].append({'item': s.series_id})
# Now we have all the sequences in the right bins we need to link up the magnitudes and phases from the GE to ensure the runs match
# find the unique magnitude runs and sort by start times
print(magacq)
magtimes = list(sorted(set(magacq)))
# find the pairs of indicies corresponding to the same run
magind = [None] * len(magtimes)
phaseind = [None] * len(magtimes)
for i in range(len(magtimes)):
#find last phase file with that acq time (vunerable: assumes last phase recon is correct recon)
magind[i] = magacq.index(magtimes[i])
try:
phaseind[i] = len(phaseacq) - 1 - (phaseacq[::-1]).index(
magtimes[i])
except:
phaseind[i] = -1 # no phase run found do not append it
# put the results sorted back into info
maginfo = info[task_ge]
phaseinfo = info[task_ge_phase]
print(maginfo)
print(phaseinfo)
print(magind, phaseind)
info[task_ge] = []
info[task_ge_phase] = []
for i in range(len(magind)):
info[task_ge].append(maginfo[magind[i]])
info[task_ge][i]['run'] = str(i + 1).zfill(2)
if phaseind[i] > -1: # if no run found phase is not appended
phaseinfo[phaseind[i]]['run'] = str(i + 1).zfill(2)
info[task_ge_phase].append(phaseinfo[phaseind[i]])
print(info[task_ge])
print(info[task_ge_phase])
return info
def infotodict(seqinfo):
"""Heuristic evaluator for determining which runs belong where
allowed template fields - follow python string module:
item: index within category
subject: participant id
seqitem: run number during scanning
subindex: sub index within group
"""
# call cfmm for general labelling and get dictionary
info = cfmminfodict(seqinfo)
loc = create_key(
'sub-{subject}/func/sub-{subject}_task-loc_run-{item:02d}_bold')
loc_sbref = create_key(
'sub-{subject}/func/sub-{subject}_task-loc_run-{item:02d}_sbref')
loc_PA = create_key(
'sub-{subject}/func/sub-{subject}_task-loc_acq-PA_run-{item:02d}_bold')
loc_PA_sbref = create_key(
'sub-{subject}/func/sub-{subject}_task-loc_acq-PA_run-{item:02d}_sbref'
)
loc_AP = create_key(
'sub-{subject}/func/sub-{subject}_task-loc_acq-AP_run-{item:02d}_bold')
loc_AP_sbref = create_key(
'sub-{subject}/func/sub-{subject}_task-loc_acq-AP_run-{item:02d}_sbref'
)
nback = create_key(
'sub-{subject}/func/sub-{subject}_task-nback_run-{item:02d}_bold')
nback_sbref = create_key(
'sub-{subject}/func/sub-{subject}_task-nback_run-{item:02d}_sbref')
nback_PA = create_key(
'sub-{subject}/func/sub-{subject}_task-nback_acq-PA_run-{item:02d}_bold'
)
nback_PA_sbref = create_key(
'sub-{subject}/func/sub-{subject}_task-nback_acq-PA_run-{item:02d}_sbref'
)
nback_AP = create_key(
'sub-{subject}/func/sub-{subject}_task-nback_acq-AP_run-{item:02d}_bold'
)
nback_AP_sbref = create_key(
'sub-{subject}/func/sub-{subject}_task-nback_acq-AP_run-{item:02d}_sbref'
)
info[loc] = []
info[loc_sbref] = []
info[loc_PA] = []
info[loc_PA_sbref] = []
info[loc_AP] = []
info[loc_AP_sbref] = []
info[nback] = []
info[nback_sbref] = []
info[nback_PA] = []
info[nback_PA_sbref] = []
info[nback_AP] = []
info[nback_AP_sbref] = []
for idx, s in enumerate(seqinfo):
#func localizer and nback tasks (incl opp phase enc)
if ('loc' in (s.protocol_name).strip()):
if ('_PA' in (s.series_description).strip()):
if (s.dim4 == 1 and 'SBRef' in (s.series_description).strip()):
info[loc_PA_sbref].append({'item': s.series_id})
elif (s.dim4 > 1):
info[loc_PA].append({'item': s.series_id})
elif ('_AP' in (s.series_description).strip()):
if (s.dim4 == 1 and 'SBRef' in (s.series_description).strip()):
info[loc_AP_sbref].append({'item': s.series_id})
elif (s.dim4 > 1):
info[loc_AP].append({'item': s.series_id})
else:
if (s.dim4 == 1 and 'SBRef' in (s.series_description).strip()):
info[loc_sbref].append({'item': s.series_id})
elif (s.dim4 > 1):
info[loc].append({'item': s.series_id})
elif ('ep_bold' in s.protocol_name):
if ('_PA' in (s.series_description).strip()):
if (s.dim4 == 1 and 'SBRef' in (s.series_description).strip()):
info[nback_PA_sbref].append({'item': s.series_id})
elif (s.dim4 > 1):
info[nback_PA].append({'item': s.series_id})
elif ('_AP' in (s.series_description).strip()):
if (s.dim4 == 1 and 'SBRef' in (s.series_description).strip()):
info[nback_AP_sbref].append({'item': s.series_id})
elif (s.dim4 > 1):
info[nback_AP].append({'item': s.series_id})
else:
if (s.dim4 == 1 and 'SBRef' in (s.series_description).strip()):
info[nback_sbref].append({'item': s.series_id})
elif (s.dim4 > 1):
info[nback].append({'item': s.series_id})
return info
def infotodict(seqinfo):
"""Heuristic evaluator for determining which runs belong where
allowed template fields - follow python string module:
item: index within category
subject: participant id
seqitem: run number during scanning
subindex: sub index within group
"""
# call cfmm for general labelling and get dictionary
info = cfmminfodict(seqinfo)
movie = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-movie_run-{item:02d}_bold'
)
movie_sbref = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-movie_run-{item:02d}_sbref'
)
rest = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-rest_run-{item:02d}_bold'
)
rest_sbref = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-rest_run-{item:02d}_sbref'
)
rest_psf = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-rest_acq-psf_run-{item:02d}_bold'
)
rest_psf_dico = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-rest_acq-psf_rec-dico_run-{item:02d}_bold'
)
rest_psf_flashref = create_key(
'{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-rest_acq-psf_run-{item:02d}_flashref'
)
#pilot = create_key('sourcedata/pilot_bold/{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-pilot_run-{item:02d}_bold')
#pilot_psf = create_key('sourcedata/pilot_bold/{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-pilot_acq-psf_run-{item:02d}_bold')
#pilot_psf_dico = create_key('sourcedata/pilot_bold/{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-pilot_acq-psf_rec-dico_run-{item:02d}_bold')
#pilot_psf_flashref = create_key('sourcedata/pilot_bold/{bids_subject_session_dir}/func/{bids_subject_session_prefix}_task-pilot_acq-psf_run-{item:02d}_flashref')
fmap = create_key(
'{bids_subject_session_dir}/fmap/{bids_subject_session_prefix}_dir-{dir}_epi'
)
#fmap_sbref = create_key('{bids_subject_session_dir}/fmap/{bids_subject_session_prefix}_dir-{dir}_sbref')
info[rest] = []
info[rest_sbref] = []
info[rest_psf] = []
info[rest_psf_dico] = []
info[movie] = []
info[movie_sbref] = []
info[fmap] = []
# info[fmap_sbref]=[]
# info[pilot]=[]
# info[pilot_psf]=[]
# info[pilot_psf_dico]=[]
# info[pilot_psf_flashref]=[]
for idx, s in enumerate(seqinfo):
#rs func (incl opp phase enc)
if len(s.image_type) > 2:
if ('DIFFUSION' in s.image_type[2].strip()):
continue
elif ('Movie' in (s.series_description).strip()):
if (s.dim4 == 1 and 'SBRef' in (s.series_description).strip()):
info[movie_sbref].append({'item': s.series_id})
elif (s.dim4 > 1):
info[movie].append({'item': s.series_id})
elif ('bold' in s.protocol_name
or 'resting_state' in s.series_description
or 'mbep2d' in (s.series_description).strip()
or 'ep_bold' in (s.series_description).strip()):
if ('SBRef' in (s.series_description).strip()):
info[rest_sbref].append({'item': s.series_id})
elif (s.dim4 == 1):
if ('PA' in (s.series_description).strip()):
info[fmap].append({'item': s.series_id, 'dir': 'PA'})
elif ('AP' in (s.series_description).strip()):
info[fmap].append({'item': s.series_id, 'dir': 'AP'})
elif ('LR' in (s.series_description).strip()):
info[fmap].append({'item': s.series_id, 'dir': 'LR'})
elif ('RL' in (s.series_description).strip()):
info[fmap].append({'item': s.series_id, 'dir': 'RL'})
# else:
# if ('mi_ep2d' in (s.series_description).strip() ):
# if ('DICO' in (s.image_type[4].strip())):
# info[pilot_psf_dico].append({'item': s.series_id})
# else:
# info[pilot_psf].append({'item': s.series_id})
# else:
# info[pilot].append({'item': s.series_id})
else: # greater than 1 timepoint:
if ('mi_ep2d' in (s.series_description).strip()):
if ('DICO' in (s.image_type[4].strip())):
info[rest_psf_dico].append({'item': s.series_id})
else:
info[rest_psf].append({'item': s.series_id})
else:
info[rest].append({'item': s.series_id})
return info