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Proceedings Paper

Relaxation time based classification of magnetic resonance brain images
Author(s): Fabio Baselice; Giampaolo Ferraioli; Vito Pascazio
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Paper Abstract

Brain tissue classification in Magnetic Resonance Imaging is useful for a wide range of applications. Within this manuscript a novel approach for brain tissue joint segmentation and classification is presented. Starting from the relaxation time estimation, we propose a novel method for identifying the optimal decision regions. The approach exploits the statistical distribution of the involved signals in the complex domain. The technique, compared to classical threshold based ones, is able to improve the correct classification rate. The effectiveness of the approach is evaluated on a simulated case study.

Paper Details

Date Published: 20 March 2015
PDF: 6 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 941341 (20 March 2015); doi: 10.1117/12.2082263
Show Author Affiliations
Fabio Baselice, Univ. degli Studi di Napoli Parthenope (Italy)
Giampaolo Ferraioli, Univ. degli Studi di Napoli Parthenope (Italy)
Vito Pascazio, Univ. degli Studi di Napoli Parthenope (Italy)

Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

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