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Les contours actifs basés région avec a priori de bruit, de texture et de forme : Application à l'échocardiographie

François Lecellier 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : The objective of this work is the design and the implementation of a generic method for medical images segmentation which can adapt to the constant evolution of acquisition techniques and medical experts requirements. Segmentation of medical images then requires prior knowledges, on the contaminating noise, on texture or/and shape of the objects to be segmented. Towards this end, we adopt a method able to combine elegantly all these prior information, namely: region based active contours. This method consists in deforming an initial contour toward the boundaries of the desired object. The deformation of the curve is deduced from the shape derivative of a functional to optimized.
Our main contribution lies in the achievement of general criteria that allow the addition of prior information. Regarding the noise model, the criterion consists in the optimization of a general function of a pdf belonging to the parametric exponential family. We shed the light on the influence of the estimation method in the evolution speed. For the texture model, the lack of general representation capable of discriminating all kinds of texture leds us to adopt a non parametric approach based on sparse representations. Finally, the shape prior uses a criterion based on Legendre moments. The different priors are then merged into a single functional which is then minimized using an alternating relaxation scheme.
The three approaches have been tested and validated separately and together on both synthetic, real images and echocardiographic data.
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Submitted on : Wednesday, September 16, 2009 - 9:57:11 AM
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François Lecellier. Les contours actifs basés région avec a priori de bruit, de texture et de forme : Application à l'échocardiographie. Interface homme-machine [cs.HC]. Université de Caen, 2009. Français. ⟨tel-00417490⟩

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