Medical image recognition based on Dempster-Shafer reasoning

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

doi:10.1117/12.59465

1 June 1992 Medical image recognition based on Dempster-Shafer reasoning

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

Proceedings Volume 1652, Medical Imaging VI: Image Processing; (1992) https://doi.org/10.1117/12.59465
Event: Medical Imaging VI, 1992, Newport Beach, CA, United States

Abstract

In this paper, we present the basic components of the prototype of an expert system that is capable of recognizing major brain structures given a set of integrated brain images. The proposed medical image understanding system, which is based on the blackboard architecture, employs the Dempster-Shafer (D-S) model as its inference engine to mimic the reasoning process of a human expert in the task of dividing a set of spatially correlated x ray CT, proton density (PD), and T2-weighted MR images into semantically meaningful entities and identifying these entities as respective brain structures. Within the framework of D-S reasoning, belief interval is adopted to represent the strengths of evidence and the likelihoods of hypotheses. By using the complicated blackboard-based architecture and D-S model, the proposed system can perform the task of recognition efficiently. 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 recognition based on Dempster-Shafer reasoning", Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); https://doi.org/10.1117/12.59465

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