public AnonymizeStudyOutput AnonymizeStudy(AnonymizeStudyInput input)
{
// load study to anonymize
IDataStoreReader reader = DataAccessLayer.GetIDataStoreReader();
IStudy study = reader.GetStudy(input.StudyInstanceUID);
List <ISopInstance> sops = new List <ISopInstance>(study.GetSopInstances());
// ensure there is a valid output location
if (string.IsNullOrEmpty(input.OutputDirectory))
{
// create temp dir
}
string fullPath = Path.GetFullPath(input.OutputDirectory);
if (!Directory.Exists(fullPath))
{
Directory.CreateDirectory(fullPath);
}
// set up anonymization data
StudyData studyData = new StudyData();
studyData.PatientId = input.PatientId;
studyData.PatientsNameRaw = input.PatientsName;
studyData.PatientsBirthDate = input.PatientsBirthDate;
studyData.PatientsSex = input.PatientsSex;
studyData.AccessionNumber = input.AccessionNumber;
studyData.StudyDescription = input.StudyDescription;
studyData.StudyDate = input.StudyDate;
DicomAnonymizer anonymizer = new DicomAnonymizer();
anonymizer.StudyDataPrototype = studyData;
//The default anonymizer removes the series data, so we just clone the original.
anonymizer.AnonymizeSeriesDataDelegate =
delegate(SeriesData original) { return(original.Clone()); };
// anonymize each image in the study
for (int i = 0; i < sops.Count; ++i)
{
ISopInstance sop = sops[i];
DicomFile file = new DicomFile(sop.GetLocationUri().LocalDiskPath);
anonymizer.Anonymize(file);
file.Save(string.Format("{0}\\{1}.dcm", fullPath, i));
}
return(new AnonymizeStudyOutput(sops.Count));
}
