Segmentation of echocardiographic data. Multiresolution 2D and 3D algorithm based on grey level statistics

Abstract

We propose in this paper a robust adaptive region segmentation algorithm of dirty images in a Bayesian framework. A multiresolution implementation of the algorithm is performed using a wavelets basis. The algorithm can process both 2D and 3D data. In this work we focus on the adaptive character of the algorithm and we discuss how global and local statistics can be taken into account in the segmentation process. Results of segmentation performed on echocardiographic sequences (2D+T) and an evaluation of the performance of the proposed algorithm are presented.