def _set_series_attributes(
dataset: pydicom.dataset.Dataset, patient_number: int, study_number: int, series_number: int
) -> None:
series_suffix = "%(patient_number)-d%(study_number)-d%(series_number)d" % vars()
dataset.SeriesInstanceUID = dataset.StudyInstanceUID + "." + str(series_number)
dataset.FrameOfReferenceUID = dataset.SeriesInstanceUID + ".0." + str(series_number)
dataset.PerformedProcedureStepID = "PERFSTEP" + series_suffix
dataset.RequestedProcedureID = "REQSTEP" + series_suffix
dataset.ScheduledProcedureStepID = "SCHEDSTEP" + series_suffix
dataset.SeriesDate = dataset.StudyDate
dataset.SeriesTime = datetime.time(patient_number, study_number, series_number).strftime("%H%M%S")
dataset.StationName = "STATIONNAME" + str(patient_number) + "." + str(study_number) + "." + str(series_number)
dataset.OperatorsName = "OPERATOR^FIRST^" + series_suffix
dataset.PerformingPhysicianName = "PERFORMING1^FIRST^" + series_suffix
request_attribute_item = pydicom.dataset.Dataset()
request_attribute_item.RequestedProcedureID = dataset.RequestedProcedureID
request_attribute_item.ScheduledProcedureStepID = dataset.ScheduledProcedureStepID
dataset.RequestAttributesSequence = pydicom.sequence.Sequence([request_attribute_item])
dataset.InstitutionName = "INSTITUTIONNAME" + series_suffix
dataset.InstitutionAddress = "INSTITUTIONADDRESS" + series_suffix
dataset.InstitutionalDepartmentName = "INSTITUTIONALDEPARTMENTNAME" + series_suffix
dataset.StationName = "STATIONNAME" + series_suffix
def anonymize_institution_name(self, dataset: pydicom.dataset.Dataset,
data_element: pydicom.DataElement) -> None:
region = self.address_anonymizer.get_region(data_element.value)
street_address = self.address_anonymizer.get_street_address(
data_element.value)
street = street_address.split(" ", 1)[1]
dataset.InstitutionAddress = ", ".join([
street_address, region,
self.address_anonymizer.get_country(data_element.value)
])
data_element.value = region + "'S " + street + " CLINIC"