Medical image understanding system based on Dempster-Shafer reasoning

Shiuh-Yung James Chen; Wei-Chung Lin; Chin-Tu Chen

doi:10.1117/12.45236

1 June 1991 Medical image understanding system based on Dempster-Shafer reasoning

Shiuh-Yung James Chen, Wei-Chung Lin, Chin-Tu Chen

Proceedings Volume 1445, Medical Imaging V: Image Processing; (1991) https://doi.org/10.1117/12.45236
Event: Medical Imaging '91, 1991, San Jose, CA, United States

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.

Citation Download Citation

Shiuh-Yung James Chen, Wei-Chung Lin, and Chin-Tu Chen "Medical image understanding system based on Dempster-Shafer reasoning", Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); https://doi.org/10.1117/12.45236

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