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Proceedings Paper

Automatic classification of computed tomography slices into anatomic regions
Author(s): Pradeep K. Kurup; Tuelay Adali; Ikrama Chohan; Khan Siddiqui; Calvin Hisley; Eliot Siegel
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Paper Abstract

We propose a computationally efficient and effective analysis technique to classify X-Ray Computed Tomography (CT) images into four anatomic regions: neck, chest, abdomen, and pelvis. The proposed technique divides a single scan (performed with a single bolus of contrast) into multiple anatomic regions that can be stored in separate electronic folders for each region. Our CT analysis technique extracts relevant features from the image slices and classifies the images into the four anatomic regions using a multilayer perceptron network. The technique is tested on a number of CT images and shown to result in an acceptable level of classification performance.

Paper Details

Date Published: 15 April 2005
PDF: 7 pages
Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); doi: 10.1117/12.595399
Show Author Affiliations
Pradeep K. Kurup, Univ. of Maryland/Baltimore County (United States)
Tuelay Adali, Univ. of Maryland/Baltimore County (United States)
Ikrama Chohan, Veterans Affairs Medical Ctr. (United States)
Khan Siddiqui, Veterans Affairs Medical Ctr. (United States)
Calvin Hisley, Univ. of Maryland Medical System (United States)
Eliot Siegel, Veterans Affairs Medical Ctr. (United States)
Univ. of Maryland Medical System (United States)


Published in SPIE Proceedings Vol. 5748:
Medical Imaging 2005: PACS and Imaging Informatics
Osman M. Ratib; Steven C. Horii, Editor(s)

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