Medical image understanding system based on Dempster-Shafer reasoning

Shiuh Yung Chen*, Wei Chung Lin, Chin Tu Chen

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

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 languageEnglish (US)
Pages (from-to)386-397
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1445
StatePublished - Jan 1 1991
EventMedical Imaging V: Image Processing - San Jose, CA, USA
Duration: Feb 27 1991Mar 1 1991

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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