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Proceedings Paper

Multi-site evaluation of a computer aided detection (CAD) algorithm for small acute intra-cranial hemorrhage and development of a stand-alone CAD system ready for deployment in a clinical environment
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Paper Abstract

Timely detection of Acute Intra-cranial Hemorrhage (AIH) in an emergency environment is essential for the triage of patients suffering from Traumatic Brain Injury. Moreover, the small size of lesions and lack of experience on the reader's part could lead to difficulties in the detection of AIH. A CT based CAD algorithm for the detection of AIH has been developed in order to improve upon the current standard of identification and treatment of AIH. A retrospective analysis of the algorithm has already been carried out with 135 AIH CT studies with 135 matched normal head CT studies from the Los Angeles County General Hospital/ University of Southern California Hospital System (LAC/USC). In the next step, AIH studies have been collected from Walter Reed Army Medical Center, and are currently being processed using the AIH CAD system as part of implementing a multi-site assessment and evaluation of the performance of the algorithm. The sensitivity and specificity numbers from the Walter Reed study will be compared with the numbers from the LAC/USC study to determine if there are differences in the presentation and detection due to the difference in the nature of trauma between the two sites. Simultaneously, a stand-alone system with a user friendly GUI has been developed to facilitate implementation in a clinical setting.

Paper Details

Date Published: 11 March 2010
PDF: 8 pages
Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 76280H (11 March 2010); doi: 10.1117/12.844833
Show Author Affiliations
Ruchi R. Deshpande, Image Processing and Informatics Lab., The Univ. of Southern California (United States)
James Fernandez, Image Processing and Informatics Lab., The Univ. of Southern California (United States)
Joon K. Lee, Image Processing and Informatics Lab., The Univ. of Southern California (United States)
Tao Chan, The Hong Kong Polytechnic Univ. (China)
Brent J. Liu, Image Processing and Informatics Lab., The Univ. of Southern California (United States)
H K. Huang, Image Processing and Informatics Lab., The Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 7628:
Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Brent J. Liu; William W. Boonn, Editor(s)

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