Lesion detection using Gabor-based saliency field mapping

被引：1

作者：

Macenko, Marc

Luo, Rutao

Celenk, Mehmet ^{[1
]}

Ma, Limin

Zhou, Qiang ^{[1
]}

机构：

[1] Chrontel Inc, San Jose, CA 95131 USA

来源：

MEDICAL IMAGING 2007: IMAGE PROCESSING, PTS 1-3 | 2007年 / 6512卷

关键词：

brain lesion; back-round estimation; Gabor-filter;

D O I：

10.1117/12.706431

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a method that detects lesions in two-dimensional (2D) cross-sectional brain images. By calculating the major and minor axes of the brain, we calculate an estimate of the background, without any a priori information, to use in inverse filtering. Shape saliency computed by a Gabor filter bank is used to further refine the results of the inverse filtering. The proposed algorithm was tested on different images of "The Whole Brain Atlas" database.(8) The experimental results have produced 93% classification accuracy in processing 100 arbitrary images, representing different kinds of brain lesion.

引用

页数：8

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