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Proceedings Paper

Novel approach to feature extraction for MRI segmentation
Author(s): Robert Paul Velthuizen; Lawrence O. Hall; Laurence P. Clarke
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Paper Abstract

Magnetic resonance images (MRI) of the brain are segmented into tumor and non-tumor to provide an objective means for measuring the response of a tumor to therapy. This paper focuses on automatic feature extraction to improve brain tumor segmentation using genetic algorithms (GAs). Using the discovered features, a significant increase in accuracy of tumor segmentation is seen. Moreover, this improvement is consistent over a tumor volume outside the training data.

Paper Details

Date Published: 16 April 1996
PDF: 10 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237926
Show Author Affiliations
Robert Paul Velthuizen, Univ. of South Florida (United States)
Lawrence O. Hall, Univ. of South Florida (United States)
Laurence P. Clarke, Univ. of South Florida (United States)

Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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