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Proceedings Paper

Lesion detection using Gabor-based saliency field mapping
Author(s): Marc Macenko; Rutao Luo; Mehmet Celenk; Limin Ma; Qiang Zhou
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Paper Abstract

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. The experimental results have produced 93% classification accuracy in processing 100 arbitrary images, representing different kinds of brain lesion.

Paper Details

Date Published: 8 March 2007
PDF: 8 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65123E (8 March 2007); doi: 10.1117/12.706431
Show Author Affiliations
Marc Macenko, Ohio Univ. (United States)
Rutao Luo, Ohio Univ. (United States)
Mehmet Celenk, Ohio Univ. (United States)
Limin Ma, Ohio Univ. (United States)
Qiang Zhou, Chrontel Inc. (United States)


Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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