[Méthode de segmentation semi-automatique fondée sur une base réduite]
Nous présentons ici une méthode de segmentation d’imagerie médicale semi-automatique minimisant l’intervention d’un expert. A l’aide d’une base réduite, nous connaissons a priori la forme de l’objet à identifier sur les images, comme un muscle sur un scanner. Il suffit d’identifier les coefficients associés à l’objet d’intérêt dans la base réduite, via la résolution d’un système linéaire prenant en entrée les coordonnées de quelques points sélectionnés sur l’image. Un exemple implémenté en 2D est proposé. Cette méthode est indépendante des niveaux de gris de l’image, et peut donc être appliquée sur tous objets et toutes imageries.
This note adresses the following segmentation problem in medical imaging: minimize expert intervention for semi-automatic segmentation process. Using a reduced basis, we have an a priori knowledge of the objet we want to identify on the images, like a muscle on a CT-Scan. We just have to identify the coefficients associated to the object of interest in the reduced basis, by solving a linear system taking as input the coordinates of some selected points in the image. An example implemented in 2D is shown. This method is independent of the grayscale of the image, and can therefore be applied to all objects and images.
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@article{CRMATH_2020__358_9-10_981_0,
author = {Lombardi, Damiano and Maday, Yvon and Uro, Lydie},
title = {Fast semi-automatic segmentation based on reduced basis},
journal = {Comptes Rendus. Math\'ematique},
pages = {981--987},
publisher = {Acad\'emie des sciences, Paris},
volume = {358},
number = {9-10},
year = {2020},
doi = {10.5802/crmath.89},
language = {en},
url = {http://www.numdam.org/articles/10.5802/crmath.89/}
}
TY - JOUR AU - Lombardi, Damiano AU - Maday, Yvon AU - Uro, Lydie TI - Fast semi-automatic segmentation based on reduced basis JO - Comptes Rendus. Mathématique PY - 2020 SP - 981 EP - 987 VL - 358 IS - 9-10 PB - Académie des sciences, Paris UR - http://www.numdam.org/articles/10.5802/crmath.89/ DO - 10.5802/crmath.89 LA - en ID - CRMATH_2020__358_9-10_981_0 ER -
%0 Journal Article %A Lombardi, Damiano %A Maday, Yvon %A Uro, Lydie %T Fast semi-automatic segmentation based on reduced basis %J Comptes Rendus. Mathématique %D 2020 %P 981-987 %V 358 %N 9-10 %I Académie des sciences, Paris %U http://www.numdam.org/articles/10.5802/crmath.89/ %R 10.5802/crmath.89 %G en %F CRMATH_2020__358_9-10_981_0
Lombardi, Damiano; Maday, Yvon; Uro, Lydie. Fast semi-automatic segmentation based on reduced basis. Comptes Rendus. Mathématique, Tome 358 (2020) no. 9-10, pp. 981-987. doi : 10.5802/crmath.89. http://www.numdam.org/articles/10.5802/crmath.89/
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