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Article Dans Une Revue Pattern Recognition Letters Année : 2009

Selective Diffusion for Oriented Pattern Extraction: Application to Tagged Cardiac MRI Enhancement

Résumé

Anisotropic regularization PDE's (Partial Differential Equation) raised a strong interest in the field of 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, a selective diffusion approach based on the framework of Extreme Physical Information theory is presented. It is shown that this particular framework leads to a particular regularization PDE which makes the integration of prior knowledge possible within the diffusion scheme. As a proof of feasibility, results of oriented pattern extractions are first presented on ad hoc images and second on a particular medical application: Tagged cardiac MRI (Magnetic Resonance Imaging) enhancement.

Dates et versions

hal-00405883 , version 1 (21-07-2009)

Identifiants

Citer

Aymeric Histace, Michel Ménard, Christine Cavaro-Ménard. Selective Diffusion for Oriented Pattern Extraction: Application to Tagged Cardiac MRI Enhancement. Pattern Recognition Letters, 2009, 30 (15), pp.1356-1365. ⟨10.1016/j.patrec.2009.07.012⟩. ⟨hal-00405883⟩
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