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Authors: Su Ruan 1 and Jonathan Bailleul 2

Affiliations: 1 CReSTIC, Dept GEII, IUT de Troyes, France ; 2 GREYC, ENSICAEN, France

ISBN: 978-972-8865-75-7

ISSN: 2184-4321

Keyword(s): Multifractal analysis, Markov Random Field, image segmentation, Magnetic Resonance Imaging.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Fractal and Chaos Theory in Image Analysis ; Image and Video Analysis ; Medical Image Analysis ; Segmentation and Grouping

Abstract: In this paper, we demonstrate the interest of the multifractal analysis for removing the ambiguities due to the intensity overlap, and we propose a brain tissue segmentation method from Magnetic Resonance Imaging (MRI) images, which is based on Markov Random Field (MRF) models. The brain tissue segmentation consists in separating the encephalon into the three main brain tissues: grey matter, white matter and cerebrospinal fluid (CSF). The classical MRF model uses the intensity and the neighbourhood information, which is not robust enough to solve problems, such as partial volume effects. Therefore, we propose to use the multifractal analysis, which can provide information on the intensity variations of brain tissues. This knowledge is modelled and then incorporated into a MRF model. This technique has been successfully applied to real MRI images. The contribution of the multifractal analysis is proved by comparison with a classical MRF segmentation using simulated data.

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Paper citation in several formats:
Ruan, S. and Bailleul, J. (2007). MRI SEGMENTATION USING MULTIFRACTAL ANALYSIS AND MRF MODELS.In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Computer Vision Methods in Medicine, (VISAPP 2007) ISBN 978-972-8865-75-7, pages 101-106. DOI: 10.5220/0002046901010106

@conference{computer vision methods in medicine07,
author={Su Ruan and Jonathan Bailleul},
title={MRI SEGMENTATION USING MULTIFRACTAL ANALYSIS AND MRF MODELS},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Computer Vision Methods in Medicine, (VISAPP 2007)},
year={2007},
pages={101-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002046901010106},
isbn={978-972-8865-75-7},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Computer Vision Methods in Medicine, (VISAPP 2007)
TI - MRI SEGMENTATION USING MULTIFRACTAL ANALYSIS AND MRF MODELS
SN - 978-972-8865-75-7
AU - Ruan, S.
AU - Bailleul, J.
PY - 2007
SP - 101
EP - 106
DO - 10.5220/0002046901010106

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