MULTIRESOLUTION MESH SEGMENTATION OF MRI BRAIN USING CLASSIFICATION AND DISCRETE CURVATURE

Sami Bourouis, Kamel Hamrouni, Mounir Dhibi

2008

Abstract

This paper presents a method for brain tissue segmentation and characterization of magnetic resonance imaging (MRI) scans. It is based on statistical classification, differential geometry, and multiresolution representation. The Expectation Maximization algorithm and k-means clustering are applied to generate an initial mask of tissue classes of data volume. Then, a hierarchical multiresolution representation is applied to simplify processing. The idea is that the low-resolution description is used to determine constraints for the segmentation at the higher resolutions. Our contribution is the design of a pipeline procedure for brain characterization/labeling by using discrete curvature and multiresolution representation. We have tested our method on several MRI data.

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Paper Citation


in Harvard Style

Bourouis S., Hamrouni K. and Dhibi M. (2008). MULTIRESOLUTION MESH SEGMENTATION OF MRI BRAIN USING CLASSIFICATION AND DISCRETE CURVATURE . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 421-426. DOI: 10.5220/0001078704210426

in Bibtex Style

@conference{visapp08,
author={Sami Bourouis and Kamel Hamrouni and Mounir Dhibi},
title={MULTIRESOLUTION MESH SEGMENTATION OF MRI BRAIN USING CLASSIFICATION AND DISCRETE CURVATURE},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={421-426},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001078704210426},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - MULTIRESOLUTION MESH SEGMENTATION OF MRI BRAIN USING CLASSIFICATION AND DISCRETE CURVATURE
SN - 978-989-8111-21-0
AU - Bourouis S.
AU - Hamrouni K.
AU - Dhibi M.
PY - 2008
SP - 421
EP - 426
DO - 10.5220/0001078704210426