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

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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.© (1989) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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