Anonymization

DICOM data can be anonymized on the Series, Study, Patient or Cohort level. Each object class provides an anonymize() method.

Common parameters include:

uid_table	Translation table for UIDs
kwargs	dict or parameters giving mapping rules for specific DICOM attributes

Example on Series level:

from imagedata import Series
a = Series('data')

# Explicit mapping rule(s)
b = a.anonymize(patientName='ABCD')

# dict of mapping rules
kwargs = {
    'patientName': 'ABCD',
    'patientID': '126847'
}
c = a.anonymize(**kwargs)

The uid_table can be used to apply the same UIDs translations for each anonymization. _E.g._:

from imagedata import Series
a = Series('data1')
b = Series('data2')

uid_table = {}
anon_a = a.anonymize(uid_table, patientName='ABCD')
anon_b = b.anonymize(uid_table, patientName='ABCD')