def loadDcmDir(self):
self.statusBar().showMessage('Reading DICOM directory...')
QApplication.processEvents()
# oseg = self.oseg
# if oseg.datapath is None:
# oseg.datapath = dcmreader.get_dcmdir_qt(app=True)
self.datapath = dcmreader.get_dcmdir_qt(app=True)
# if oseg.datapath is None:
# self.statusBar().showMessage('No DICOM directory specified!')
# return
if self.datapath is None:
self.statusBar().showMessage('No DICOM directory specified!')
return
reader = datareader.DataReader()
# oseg.data3d, oseg.metadata = reader.Get3DData(oseg.datapath)
self.data3d, self.metadata = reader.Get3DData(self.datapath)
# oseg.process_dicom_data()
self.process_dicom_data()
# self.setLabelText(self.text_dcm_dir, oseg.datapath)
self.setLabelText(self.text_dcm_dir, self.datapath)
self.setLabelText(self.text_dcm_data, self.getDcmInfo())
self.statusBar().showMessage('Ready')
def loadDcmDir(self):
self.statusBar().showMessage('Reading DICOM directory...')
QApplication.processEvents()
if self.dcmdir is None:
self.dcmdir = dcmreader.get_dcmdir_qt(app=True)
if self.dcmdir is not None:
dcr = dcmreader.DicomReader(os.path.abspath(self.dcmdir),
qt_app=self)
else:
self.statusBar().showMessage('No DICOM directory specified!')
return
if dcr.validData():
self.dcm_3Ddata = dcr.get_3Ddata()
self.dcm_metadata = dcr.get_metaData()
self.voxel_sizemm = np.array(self.dcm_metadata['voxelsizemm'])
self.setVoxelVolume(self.voxel_sizemm)
self.setLabelText(self.text_dcm_dir, self.dcmdir)
self.setLabelText(self.text_dcm_data, self.getDcmInfo())
self.statusBar().showMessage('Ready')
self.setLabelText(self.text_seg_in, 'DICOM reader')
else:
self.statusBar().showMessage('No DICOM data in direcotry!')
def test_dcmread_get_dcmdir_qt(self):
dirpath = dcmr.get_dcmdir_qt()
#self.data3d, self.metadata = dcmr.dcm_read_from_dir(self.dcmdir)
reader = dcmr.DicomReader(dirpath)
self.data3d = reader.get_3Ddata()
self.metadata = reader.get_metaData()
def loadDcmDir(self, event=None, filename=None):
self.statusBar().showMessage('Loading DICOM data...')
QApplication.processEvents()
# TODO uninteractive Serie selection
#self.data3d, self.metadata = dcmr.dcm_read_from_dir(datadir)
datadir = dcmr.get_dcmdir_qt(self.qt_app)
# @TODO dialog v qt
reader = dcmr.DicomReader(datadir) #, qt_app=self.qt_app)
self.data3d = reader.get_3Ddata()
self.metadata = reader.get_metaData()
self.inps['series_number'] = reader.series_number
self.inps['datadir'] = datadir
self.statusBar().showMessage('DICOM data loaded')
def loadDcmDir(self, event=None, filename=None):
self.statusBar().showMessage('Loading DICOM data...')
QApplication.processEvents()
# TODO uninteractive Serie selection
#self.data3d, self.metadata = dcmr.dcm_read_from_dir(datadir)
datadir = dcmr.get_dcmdir_qt(self.qt_app)
# @TODO dialog v qt
reader = dcmr.DicomReader(datadir)#, qt_app=self.qt_app)
self.data3d = reader.get_3Ddata()
self.metadata = reader.get_metaData()
self.inps['series_number'] = reader.series_number
self.inps['datadir'] = datadir
self.statusBar().showMessage('DICOM data loaded')
def __init__(
self,
datapath=None,
working_voxelsize_mm=3,
series_number=None,
autocrop=True,
autocrop_margin_mm=[10, 10, 10],
manualroi=False,
texture_analysis=None,
segmentation_smoothing=False,
smoothing_mm=4,
data3d=None,
metadata=None,
seeds=None,
edit_data=False,
segparams={},
roi=None,
# iparams=None,
output_label=1,
slab={},
qt_app=None
):
""" Segmentation of objects from CT data.
datapath: path to directory with dicom files
manualroi: manual set of ROI before data processing, there is a
problem with correct coordinates
data3d, metadata: it can be used for data loading not from directory.
If both are setted, datapath is ignored
output_label: label for output segmented volume
slab: aditional label system for description segmented data
{'none':0, 'liver':1, 'lesions':6}
"""
self.iparams = {}
self.datapath = datapath
self.crinfo = [[0, -1], [0, -1], [0, -1]]
self.slab = slab
self.output_label = output_label
self.qt_app = qt_app
# TODO uninteractive Serie selection
if data3d is None or metadata is None:
#if self.iparams.has_key('datapath'):
if 'datapath' in self.iparams:
datapath = self.iparams['datapath']
#self.data3d, self.metadata = dcmr.dcm_read_from_dir(datapath)
if datapath is None:
self.process_qt_app()
datapath = dcmr.get_dcmdir_qt(self.qt_app)
# @TODO dialog v qt
#reader = dcmr.DicomReader(datapath) # , qt_app=qt_app)
#self.data3d = reader.get_3Ddata()
#self.metadata = reader.get_metaData()
reader = datareader.DataReader()
self.data3d, self.metadata = reader.Get3DData(datapath)
self.iparams['series_number'] = self.metadata['series_number']
self.iparams['datapath'] = datapath
else:
self.data3d = data3d
# default values are updated in next line
self.metadata = {'series_number': -1, 'voxelsize_mm': 1,
'datapath': None}
self.metadata.update(metadata)
self.iparams['series_number'] = self.metadata['series_number']
self.iparams['datapath'] = self.metadata['datapath']
self.orig_shape = self.data3d.shape
# voxelsize processing
if working_voxelsize_mm == 'orig':
working_voxelsize_mm = self.metadata['voxelsize_mm']
elif working_voxelsize_mm == 'orig*2':
working_voxelsize_mm = np.array(self.metadata['voxelsize_mm']) * 2
elif working_voxelsize_mm == 'orig*4':
working_voxelsize_mm = np.array(self.metadata['voxelsize_mm']) * 4
if np.isscalar(working_voxelsize_mm):
self.working_voxelsize_mm = ([working_voxelsize_mm] * 3)
else:
self.working_voxelsize_mm = working_voxelsize_mm
self.working_voxelsize_mm = np.array(
self.working_voxelsize_mm).astype(float)
# if np.isscalar(self.working_voxelsize_mm):
# self.working_voxelsize_mm = (np.ones([3]) *
#self.working_voxelsize_mm).astype(float)
self.iparams['working_voxelsize_mm'] = self.working_voxelsize_mm
#self.parameters = {}
#self.segparams = {'pairwiseAlpha':2, 'use_boundary_penalties':True,
#'boundary_penalties_sigma':50}
# for each mm on boundary there will be sum of penalty equal 10
self.segparams = {'pairwise_alpha_per_mm2': 10,
'use_boundary_penalties': False,
'boundary_penalties_sigma': 50}
self.segparams = {'pairwise_alpha_per_mm2': 40,
'use_boundary_penalties': False,
'boundary_penalties_sigma': 50}
#print segparams
# @TODO each axis independent alpha
self.segparams.update(segparams)
self.segparams['pairwise_alpha'] = \
self.segparams['pairwise_alpha_per_mm2'] / \
np.mean(self.iparams['working_voxelsize_mm'])
#self.segparams['pairwise_alpha']=25
# parameters with same effect as interactivity
#if iparams is None:
# self.iparams= {}
#else:
# self.set_iparams(iparams)
# manualcrop
if manualroi is True: # is not None:
# @todo opravit souřadný systém v součinnosti s autocrop
self.process_qt_app()
self.data3d, self.crinfo = qmisc.manualcrop(self.data3d)
self.iparams['roi'] = self.crinfo
self.iparams['manualroi'] = True
#print self.crinfo
elif roi is not None:
self.data3d = qmisc.crop(self.data3d, roi)
self.crinfo = roi
self.iparams['roi'] = roi
self.iparams['manualroi'] = None
if seeds is None:
self.iparams['seeds'] = np.zeros(self.data3d.shape, dtype=np.int8)
else:
if qmisc.isSparseMatrix(seeds):
seeds = seeds.todense()
self.iparams['seeds'] = seeds
self.voxelsize_mm = np.array(self.metadata['voxelsize_mm'])
self.autocrop = autocrop
self.autocrop_margin_mm = np.array(autocrop_margin_mm)
self.autocrop_margin = self.autocrop_margin_mm / self.voxelsize_mm
self.texture_analysis = texture_analysis
self.segmentation_smoothing = segmentation_smoothing
self.smoothing_mm = smoothing_mm
self.edit_data = edit_data
self.zoom = self.voxelsize_mm / (1.0 * self.working_voxelsize_mm)
# def set_iparams(self, iparams):
# """
# Set interactivity variables. Make numpy array from scipy sparse
# matrix.
# """
#
# # seeds may be stored in sparse matrix
# try:
# if qmisc.SparseMatrix.issparse(iparams['seeds']):
# iparams['seeds'] = iparams['seeds'].todense()
# #import pdb; pdb.set_trace()
# except:
# # patrne neni SparseMatrix
# pass
#
# self.iparams = iparams
# @TODO use logger
print 'dir ', self.iparams['datapath'], ", series_number",\
self.iparams['series_number'], 'voxelsize_mm',\
self.voxelsize_mm
self.time_start = time.time()
def get_dcmdir_qt(qt_app):
# just call function from dcmr
return dcmr.get_dcmdir_qt(qt_app)
