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

被引：0

作者：

Boukerroui, D ^{[1
]}

Basset, O

Baskurt, A

Noble, A

机构：

[1] CNRS, Res Unit, UMR 5515, CREATIS, F-69621 Villeurbanne, France

[2] Inst Natl Sci Appl, INSERM, F-69621 Villeurbanne, France

[3] Univ Lyon 1, LIGIM, EA 1899, F-69365 Lyon, France

[4] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England

来源：

MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, MICCAI'99, PROCEEDINGS | 1999年 / 1679卷

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 call 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.

引用

页码：516 / 523

页数：8

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