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Proceedings Paper

Evaluation of a stand-alone computer-aided detection system for acute intra-cranial hemorrhage in emergency environments
Author(s): James Fernandez; Ruchi Deshpande; Ximing Wang; Brent Liu; Michael Brazaitis; Fletcher Munter; Margaret Liu
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Paper Abstract

Acute intra-cranial hemorrhage (AIH) may result from traumatic brain injury (TBI). Successful management of AIH depends heavily on the speed and accuracy of diagnosis. Timely diagnosis in emergency environments in both civilian and military settings is difficult primarily due to severe time restraints and lack of resources. Often, diagnosis is performed by emergency physicians rather than trained radiologists. As a result, added support in the form of computer-aided detection (CAD) would greatly enhance the decision-making process and help in providing faster and more accurate diagnosis of AIH. This paper discusses the implementation of a CAD system in an emergency environment, and its efficacy in aiding in the detection of AIH.

Paper Details

Date Published: 24 March 2011
PDF: 7 pages
Proc. SPIE 7967, Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 79670H (24 March 2011); doi: 10.1117/12.878620
Show Author Affiliations
James Fernandez, The Univ. of Southern California (United States)
Ruchi Deshpande, The Univ. of Southern California (United States)
Ximing Wang, The Univ. of Southern California (United States)
Brent Liu, The Univ. of Southern California (United States)
Michael Brazaitis, Walter Reed Army Medical Ctr. (United States)
Fletcher Munter, Walter Reed Army Medical Ctr. (United States)
Margaret Liu, The Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 7967:
Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications
William W. Boonn; Brent J. Liu, Editor(s)

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