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Authors: A. Histace 1 and M. Ménard 2

Affiliations: 1 ETIS UMR CNRS 8051, ENSEA-UCP, France ; 2 L3i, University of La Rochelle, France

Keyword(s): Image diffusion, Double well potential, Directional diffusion, Selectivity.

Abstract: Non-linear or anisotropic regularization PDE’s (Partial Differential Equation) raised a strong interest in the field of medical image processing. The benefit of PDE-based regularization methods lies in the ability to smooth data in a nonlinear way, allowing the preservation of important image features (contours, corners or other discontinuities). In this article, we propose a PDE-based method restoration approach integrating a double-well potential as diffusive function. It is shown that this particular potential leads to a particular regularization PDE which makes the integration of prior knowledge about the gradient intensity level to enhance possible. The corresponding method shows interesting properties regarding stability and preservation of fine structures. As a proof a feasibility, results of restoration are presented on natural images to show potentialities of the proposed method. We also address a particular medical application: enhancement of tagged cardiac MRI.

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Paper citation in several formats:
Histace, A. and Ménard, M. (2010). MRI IMAGE ENHANCEMENT - A PDE-based Approach Integrating a Double-well Potential Function for Thin Structure Preservation. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 1: ECSMIO; ISBN 978-989-674-028-3; ISSN 2184-4321, SciTePress, pages 501-508. DOI: 10.5220/0002887605010508

@conference{ecsmio10,
author={A. Histace. and M. Ménard.},
title={MRI IMAGE ENHANCEMENT - A PDE-based Approach Integrating a Double-well Potential Function for Thin Structure Preservation},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 1: ECSMIO},
year={2010},
pages={501-508},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002887605010508},
isbn={978-989-674-028-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 1: ECSMIO
TI - MRI IMAGE ENHANCEMENT - A PDE-based Approach Integrating a Double-well Potential Function for Thin Structure Preservation
SN - 978-989-674-028-3
IS - 2184-4321
AU - Histace, A.
AU - Ménard, M.
PY - 2010
SP - 501
EP - 508
DO - 10.5220/0002887605010508
PB - SciTePress

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