DDIT - A Tool for DICOM Brain Images De-Identification

Author

Li, Lin ; Wang, James Z.

Author_Institution

Sch. of Comput., Clemson Univ., Clemson, SC, USA

fYear

2011

fDate

10-12 May 2011

Firstpage

1

Lastpage

4

Abstract

In order to protect subject privacy in the usage of medical imaging, it is desirable that images are de-identified. Two issues must be addressed for the purpose of image de-identification. One is anonymization, and the other is image defacing with regard to images that include facial features. In this paper, a tool, DDIT, is proposed for Digital Imaging and Communications in Medicine (DICOM) brain images de-identification. This tool can flexibly anonymize private data in DICOM images, and efficiently remove the potentially identifying facial features. In addition, visual inspection showed that no brain tissue was removed during the de-identification process. The tool is published online, which can be downloaded for free to help DICOM image de-identification and promote data sharing in large scale multisite projects.

Keywords

PACS; brain; data communication; data privacy; document image processing; medical image processing; DDIT tool; DICOM brain images deidentification; Digital Imaging and Communications in Medicine; anonymization; brain tissue; data privacy protection; data sharing; facial feature removal; image defacing; visual inspection; Brain; DICOM; Facial features; Nose; Three dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on

Conference_Location

Wuhan

ISSN

2151-7614

Print_ISBN

978-1-4244-5088-6

Type

conf

DOI

10.1109/icbbe.2011.5780346

Filename

5780346