A Tool for Brain Magnetic Resonance Image Segmentation

Baptiste Magnier; Philippe Montesinos; Daniel Diep

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Paper

A Tool for Brain Magnetic Resonance Image Segmentation

Topics: Medical Image Applications

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 75-79, 2013 , Barcelona, Spain

Authors: Baptiste Magnier ; Philippe Montesinos and Daniel Diep

Affiliation: LGi2P de l’Ecole des Mines d’Alès, France

Keyword(s): Brain MRI Regularization,Edge Detection, Rotating Filters, Anisotropic Diffusion.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Medical Image Applications

Abstract: This paper is dedicated to a brain magnetic resonance images regularization method, preserving grey/white matter edges using rotating smoothing filters. After a preprocessing, the originality of this approach resides in the mixing of ideas coming both from pixel classification which determines roughly if a pixel belongs to a homogenous region or an edge and an anisotropic edge detector which computes two precise diffusion directions. These directions are used by an anisotropic diffusion scheme which is accurately controlled near edges and corners. Comparing our results with existing algorithms allows us to validate the robustness of our method.

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Paper citation in several formats:

Magnier, B.; Montesinos, P. and Diep, D. (2013). A Tool for Brain Magnetic Resonance Image Segmentation. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 75-79. DOI: 10.5220/0004224600750079

@conference{visapp13,
author={Baptiste Magnier. and Philippe Montesinos. and Daniel Diep.},
title={A Tool for Brain Magnetic Resonance Image Segmentation},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={75-79},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004224600750079},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - A Tool for Brain Magnetic Resonance Image Segmentation
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Magnier, B.
AU - Montesinos, P.
AU - Diep, D.
PY - 2013
SP - 75
EP - 79
DO - 10.5220/0004224600750079
PB - SciTePress