Tissue Segmentation of Brain MRI

0436580 - ÚPT 2015 RIV DE eng C - Conference Paper (international conference)
Dvořák, P. - Bartušek, Karel - Mikulka, J.
Tissue Segmentation of Brain MRI.
37th International Conference on Telecommunications and Signal Processing (TSP 2014). Berlin: IEEE, 2014, s. 482-485. ISBN 978-80-214-4983-1. ISSN 1805-5435.
[TSP 2014. International Conference on Telecommunications and Signal Processing /37./. Berlín (DE), 01.07.2014-03.07.2014]
R&D Projects: GA ČR GAP102/12/1104
Institutional support: RVO:68081731
Keywords : Brain * Gaussian Mixture Model * GMM * Image segmentation * Magnetic Resonance
Subject RIV: BH - Optics, Masers, Lasers

This work focuses on segmentation of magnetic resonance images of brain. The segmentation is based on assumption that in magnetic resonance images with high signal-to-noise ratio, the noise can be approximated by Gaussian. The method is tested on stand-alone simulated 2D MR images of healthy brain. The comparison between T1-weighted, T2-weighted and multiparametric images is performed. The proposed algorithm is used to segment brain images into three different tissues. For the proposed method, the best results were achieved for stand-alone T1-weighted images, while stand-alone T2-weighted images show the worst results. The achieved results slightly vary for particular tissue.
Permanent Link: http://hdl.handle.net/11104/0240299