def test_reject_non_standard():
a_core = Core(profile=Profile(rule_sets=[]), bouncers=[RejectNonStandardDicom()])
# this should not raise anything
a_core.deidentify(quick_dataset(SOPClassUID="1.2.840.10008"))
with pytest.raises(DeidentificationException):
a_core.deidentify(quick_dataset(SOPClassUID="123"))
def test_realistic_profile():
"""Run a file through a profile that has several options"""
sets = DICOMRuleSets()
profile = Profile(rule_sets=[
sets.basic_profile,
sets.clean_descriptors,
sets.clean_graphics,
sets.retain_modified_dates,
sets.retain_safe_private,
])
final_set = profile.flatten()
assert len(final_set.rules) == 442
core = Core(profile=profile)
dataset = CTDatasetFactory()
original = deepcopy(dataset)
deidentified = core.deidentify(dataset)
assert original.PatientID != deidentified.PatientID
"""You can set your own rules for specific DICOM tags. Be aware that this might
mean the deidentification is no longer DICOM-complient
"""
import pydicom
from idiscore.core import Core, Profile
from idiscore.defaults import get_dicom_rule_sets
from idiscore.identifiers import RepeatingGroup, SingleTag
from idiscore.operators import Hash, Remove
from idiscore.rules import Rule, RuleSet
# Custom rules that will hash the patient name and remove all curve data
my_ruleset = RuleSet(
rules=[
Rule(SingleTag("PatientName"), Hash()),
Rule(RepeatingGroup("50xx,xxxx"), Remove()),
],
name="My Custom RuleSet",
)
sets = get_dicom_rule_sets() # Contains official DICOM deidentification rules
profile = Profile( # add custom rules to basic profile
rule_sets=[sets.basic_profile, my_ruleset])
core = Core(profile) # Create an deidentification core
# read a DICOM dataset from file and write to another
core.deidentify(pydicom.read("my_file.dcm")).save_as("deidentified.dcm")