FUZZY MRF MODELS WITH MULTIFRACTAL ANALYSIS FOR MRI BRAIN TISSUE CLASSIFICATION

Liang Geng, Weibei Dou

Abstract

This paper introduces multifractal analysis to the Fuzzy Markov Random Field (MRF) Model, used for brain tissue classification of Magnetic Resonance Images (MRI). The traditional classifying method using Fuzzy MRF Model is already able to calculate out the memberships of each voxel, to solve the Partial Volume Effect (PVE). But its accuracy is relatively low, for its spatial resolution is not high enough. Therefore the multifractal analysis is brought in to raise the accuracy by providing local information. The improved method is tests on both simulated data and real images, where results on membership average errors and position errors are calculated. These results show that the improved method can provide much higher accuracy.

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Paper Citation


in Harvard Style

Geng L. and Dou W. (2008). FUZZY MRF MODELS WITH MULTIFRACTAL ANALYSIS FOR MRI BRAIN TISSUE CLASSIFICATION . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 33-39. DOI: 10.5220/0001064400330039


in Bibtex Style

@conference{biosignals08,
author={Liang Geng and Weibei Dou},
title={FUZZY MRF MODELS WITH MULTIFRACTAL ANALYSIS FOR MRI BRAIN TISSUE CLASSIFICATION},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={33-39},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001064400330039},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - FUZZY MRF MODELS WITH MULTIFRACTAL ANALYSIS FOR MRI BRAIN TISSUE CLASSIFICATION
SN - 978-989-8111-18-0
AU - Geng L.
AU - Dou W.
PY - 2008
SP - 33
EP - 39
DO - 10.5220/0001064400330039