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Proceedings Paper

Medical image understanding system based on Dempster-Shafer reasoning
Author(s): Shiuh-Yung James Chen; Wei-Chung Lin; Chin-Tu Chen
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Paper Abstract

Dempster-Shafer (D-S) theory has been proposed to represent and propagate uncertain knowledge in expert systems. In this paper, we describe a medical image understanding system whose reasoning module employs the profound features of D-S theory such as compatible frames and multivariate belief functions. The proposed expert system, which is based on the blackboard architecture, is capable of mimicking the reasoning process of a human expert in dividing a set of correlated x-ray CT, T1- and T2-weighted MR images into semantically meaningful entities. In the blackboard-oriented system, different kinds of evidence provided by various knowledge sources form a hierarchy of evidential space to which D-S theory is applied. Several experimental results are given to illustrate the performance of the proposed system.

Paper Details

Date Published: 1 June 1991
PDF: 12 pages
Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); doi: 10.1117/12.45236
Show Author Affiliations
Shiuh-Yung James Chen, Northwestern Univ. (United States)
Wei-Chung Lin, Northwestern Univ. (United States)
Chin-Tu Chen, Univ. of Chicago (United States)


Published in SPIE Proceedings Vol. 1445:
Medical Imaging V: Image Processing
Murray H. Loew, Editor(s)

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