def pdf_filename(self):
"""The name of the file for the PDF results."""
if self.zip_format:
return self.base_name + '.pdf'
else:
dirname = osp.dirname(self.full_path[0])
dcm = DicomImage(self.full_path[0])
name = 'Winston-Lutz - {}.pdf'.format(dcm.date_created())
return osp.join(dirname, name)
def pdf_filename(self):
"""The name of the file for the PDF results."""
if self.zip_format:
return self.base_name + '.pdf'
else:
dirname = osp.dirname(self.path[0])
dcm = DicomImage(self.path[0])
name = 'VMAT {} - {}.pdf'.format(self.test_type.upper(), dcm.date_created())
return osp.join(dirname, name)
def run(cls, files, config, skip_list):
files = drop_skips(files, skip_list)
# analyze ZIP archives
for file in files:
cond1 = contains_keywords(file, config, cls.config_name)
cond2 = file.endswith('.zip')
if cond1 and cond2:
obj = cls(file, config)
obj.process()
skip_list.append(osp.basename(file))
# analyze directory groups
if config[cls.config_name]['use-classifier']:
imgs = [DicomImage(f) for f in files if is_dicom_image(f)]
uids = [i.metadata.SeriesInstanceUID for i in imgs]
c = collections.Counter(uids)
for uid, num in c.items():
if num == 2:
img_uids = [
i.path for i in imgs
if i.metadata.SeriesInstanceUID == uid
]
obj = cls(img_uids, config, zip_format=False)
obj.process()
for img in img_uids:
skip_list.append(osp.basename(img))