Fast edge-preserving filtering for 3D+t echocardiographic volume rendering

被引:0
|
作者
Yanez-Suarez, Oscar [1 ,2 ]
Lerallut, Jean Francois [2 ]
机构
[1] Univ Autonoma Metropolitana Iztapalapa, Dept Elect Engn, Neuroimaging Lab, Mexico City, DF, Mexico
[2] Univ Technol Compiegne, Image Proc Lab, UMR 6600, Compiegne, France
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中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A novel edge-preserving filtering method based on unsupervised clustering within the joint four-dimensional location-intensity space of volume echocardiographic data is presented. A vector codebook, formed by vectors that lie close to the modes of the joint data distribution is derived through an iterative vector quantization procedure. Distribution estimates are non-parametric. kernel based, and thus the quality of the quantization can be controlled by adequate choice of the kernel parameters.
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页码:2843 / +
页数:3
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