Low-Level Segmentation Of Multidimensional Medical Images: An Expert System

Sai Prasad Raya; Gabor T. Herman

doi:10.1117/12.970101

1 November 1989 Low-Level Segmentation Of Multidimensional Medical Images: An Expert System

Sai Prasad Raya, Gabor T. Herman

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970101
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

The basic framework of an expert rule-based segmentation system designed to handle some of the low-level segmentation problems in medical imaging is presented. The system is modular in nature consisting of two associative memories and a number of independent modules specialized in different aspects of segmentation. The basic control structure is that of a production system in which knowledge is formulated into condition-action rules. Some preliminary results pertaining to low-level segmentation of structures of the brain via magnetic resonance imaging are also presented.

Citation Download Citation

Sai Prasad Raya and Gabor T. Herman "Low-Level Segmentation Of Multidimensional Medical Images: An Expert System", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970101

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