A Knowledge-Guided Algorithm for Brain Lesion Detection

Applications of Computer Vision in Medical Image Processing

Volume

Papers from the 1994 AAAI Spring Symposium

Contents

This paper addresses the problem of the automatic detection of brain lesions in x-ray computed tomography (cr) imagery. Automatic detection of lesions is a nontrivial problem. Typically the boundaries of lesions in CT images are of single-pixel width, and the gradient at the lesion boundary varies considerably. As many studies show, these characteristics of lesions within CT images, in conjunction with the generally low signal-to-ratio of CT images, render simple boundary detection techniques ineffective.