def setUp(self):
super().setUp()
self._observer_person_context = ObserverContext(
observer_type=codes.cid270.Person,
observer_identifying_attributes=PersonObserverIdentifyingAttributes(
name='Foo Bar'))
self._observer_device_context = ObserverContext(
observer_type=codes.cid270.Device,
observer_identifying_attributes=DeviceObserverIdentifyingAttributes(
uid=generate_uid()))
self._observation_context = ObservationContext(
observer_person_context=self._observer_person_context,
observer_device_context=self._observer_device_context)
self._procedure_reported = codes.cid100.CTPerfusionHeadWithContrastIV
self._tracking_identifier = TrackingIdentifier(
uid=generate_uid(), identifier='planar roi measurements')
self._image = SourceImageForRegion(
referenced_sop_class_uid='1.2.840.10008.5.1.4.1.1.2.2',
referenced_sop_instance_uid=generate_uid())
self._region = ImageRegion(graphic_type=GraphicTypeValues.CIRCLE,
graphic_data=np.array([[1.0, 1.0],
[2.0, 2.0]]),
source_image=self._image)
self._measurements = PlanarROIMeasurementsAndQualitativeEvaluations(
tracking_identifier=self._tracking_identifier,
referenced_region=self._region)
self._measurement_report = MeasurementReport(
observation_context=self._observation_context,
procedure_reported=self._procedure_reported,
imaging_measurements=[self._measurements])
def setUp(self):
'''Creates a Measurement for a numeric value in millimiter unit with
derivation, method and reference to an image region.'''
super().setUp()
self._value = 10
self._unit = codes.cid7181.SquareMillimeter
self._tracking_identifier = TrackingIdentifier(
uid=generate_uid(), identifier='prostate zone size measurement')
self._derivation = codes.cid7464.Total
self._method = codes.cid7473.AreaOfClosedIrregularPolygon
self._location = \
codes.cid6300.RightAnteriorMiddlePeripheralZoneOfProstate
self._finding_site = FindingSite(anatomic_location=self._location)
self._image = SourceImageForRegion(
referenced_sop_class_uid='1.2.840.10008.5.1.4.1.1.2.2',
referenced_sop_instance_uid=generate_uid())
self._region = ImageRegion(graphic_type=GraphicTypeValues.POINT,
graphic_data=np.array([[1.0, 1.0]]),
source_image=self._image)
self._name = codes.cid7469.Area
self._measurement = Measurement(
name=self._name,
value=self._value,
unit=self._unit,
tracking_identifier=self._tracking_identifier,
method=self._method,
derivation=self._derivation,
finding_sites=[
self._finding_site,
])
def setUp(self):
super().setUp()
self._value = 10.0
self._unit = codes.cid7181.SquareMillimeter
self._tracking_identifier = TrackingIdentifier(
uid=generate_uid(), identifier='prostate zone size measurement')
self._name = codes.cid7469.Area
self._measurement = Measurement(
name=self._name,
value=self._value,
unit=self._unit,
tracking_identifier=self._tracking_identifier)
def setUp(self):
super().setUp()
self._tracking_identifier = TrackingIdentifier(
uid=generate_uid(), identifier='planar roi measurements')
self._image = SourceImageForRegion(
referenced_sop_class_uid='1.2.840.10008.5.1.4.1.1.2.2',
referenced_sop_instance_uid=generate_uid())
self._region = ImageRegion(graphic_type=GraphicTypeValues.CIRCLE,
graphic_data=np.array([[1.0, 1.0],
[2.0, 2.0]]),
source_image=self._image)
self._measurements = PlanarROIMeasurementsAndQualitativeEvaluations(
tracking_identifier=self._tracking_identifier,
referenced_region=self._region)
def setUp(self):
super().setUp()
self._tracking_identifier = TrackingIdentifier(
uid=generate_uid(), identifier='volumetric roi measurements')
self._images = [
SourceImageForRegion(
referenced_sop_class_uid='1.2.840.10008.5.1.4.1.1.2.2',
referenced_sop_instance_uid=generate_uid()) for i in range(3)
]
self._regions = [
ImageRegion(graphic_type=GraphicTypeValues.POLYLINE,
graphic_data=np.array([[1.0, 1.0], [2.0, 2.0],
[3.0, 3.0], [1.0, 1.0]]),
source_image=self._images[i]) for i in range(3)
]
self._measurements = VolumetricROIMeasurementsAndQualitativeEvaluations(
tracking_identifier=self._tracking_identifier,
referenced_regions=self._regions)
def test_constructed_without_human_readable_tracking_identifier(self):
tracking_identifier = TrackingIdentifier(uid=generate_uid())
with pytest.raises(ValueError):
PlanarROIMeasurementsAndQualitativeEvaluations(
tracking_identifier=tracking_identifier,
referenced_region=self._region)
def setUp(self):
super().setUp()
self._uid = generate_uid()
self._tracking_identifier = TrackingIdentifier(uid=self._uid)
def setUp(self):
super().setUp()
self._uid = generate_uid()
self._identifier = 'prostate zone size measurements'
self._tracking_identifier = TrackingIdentifier(
uid=self._uid, identifier=self._identifier)