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@@ -46,6 +46,9 @@ def getDicom(ofb,row,zipDir,rawDir,im,imageSelector,\
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if seriesId=="0":
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return False
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+ if seriesId==None:
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+ return False
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+
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print("getDicom: {}: {}".format(im,seriesId))
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fname=os.path.join(zipDir,\
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getStudyLabel(row,participantField)+'_'+im+".zip");
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@@ -149,7 +152,11 @@ def main(parameterFile):
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i=0
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for row in ds["rows"]:
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- print("Starting row id:{} seq:{}".format(row[participantField],row['SequenceNum']))
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+ pId=row[participantField]
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+ seqNo=row['SequenceNum']
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+ print("Starting row id:{} seq:{}".format(pId,seqNo))
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+
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+
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#interesting files are processedDir/studyName_CT_notCropped_2mmVoxel.nii
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#asn processedDir/studyName_PET_notCropped_2mmVoxel.nii
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volumeFileNames={im:\
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@@ -211,12 +218,20 @@ def main(parameterFile):
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if not all(filesPresent):
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#use imageSelector -> inputs
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+ dicomStatus="OK"
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for im in imageSelector:
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#checks if raw files are already loaded
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- getDicom(ofb,row,zipDir,rawDir,im,imageSelector,\
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+ ok=getDicom(ofb,row,zipDir,rawDir,im,imageSelector,\
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participantField)
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-
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-
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+
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+ if not ok:
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+ dicomStatus="BAD"
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+ break
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+
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+
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+ if not dicomStatus=="OK":
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+ print('Troubles getting dicom for {}/{}'.format(pId,seqNo))
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+ continue
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#preprocess and zip
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ok=runPreprocess_DM(matlab,generalCodes,niftiTools,studyDir)
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