Reversible anonymization of DICOM images using automatically generated policies

Studies in Health Technology and Informatics

Volumn 150, Issue , 2009, Pages 861-865

  Onken, Michael ^a   Riesmeier, Jörg ^b   Engel, Marcel ^c   Yabanci, Adem ^c   Zabel, Bernhard ^d   Després, Stefan ^c,d  

^a OFFIS INSTITUTE FOR INFORMATION TECHNOLOGY   (Germany)

^b ICSMED AG   (Germany)

^c M SPEC GmbH   (Germany)

^d UNIVERSITY OF FREIBURG   (Germany)

Author keywords

DICOM; Rare diseases; Reversible anonymization; SKELNET

Indexed keywords

AUTHENTICATION; DIAGNOSIS; HOSPITAL DATA PROCESSING; MEDICAL IMAGING; QUALITY CONTROL; SEPARATION;

ANONYMIZATION; AUTOMATIC GENERATION; AUTOMATICALLY GENERATED; DICOM; RARE DISEASE; REAL-WORLD TESTS; ROLE-BASED ACCESS; SKELNET;

IMAGE ENHANCEMENT;

AUTOMATION; CONFERENCE PAPER; HOSPITAL INFORMATION SYSTEM; ORGANIZATION AND MANAGEMENT; POLICY; PRIVACY; RARE DISEASE;

AUTOMATION; ORGANIZATIONAL POLICY; PRIVACY; RADIOLOGY INFORMATION SYSTEMS; RARE DISEASES;

EID: 72249122420     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-044-5-861     Document Type: Conference Paper

References (4)

1. Després, S., Engel, M.W., Zabel, B. (2007) Skeletal dysplasias. The network SKELNET. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 50(12):1548-1555.
2. NEMA Standards Publication (2008) Digital Imaging and Communications in Medicine (DICOM), National Electrical Manufacturers Association, Washington.
3. NEMA Standards Publication (2008) Digital Imaging and Communications in Medicine (DICOM) Supplement 142: Clinical Trial De-Identification Profiles, Version 3, National Electrical Manufacturers Association, Washington.
4. OFFIS - Institute for Information Technology. (2009) DCMTK - DICOM Toolkit. OFFIS, Oldenburg, http://dicom.offis.de/dcmtk.