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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 386-397 |
| Number of pages | 12 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 1445 |
| State | Published - Jan 1 1991 |
| Event | Medical Imaging V: Image Processing - San Jose, CA, USA Duration: Feb 27 1991 → Mar 1 1991 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering