Reconstruction of heart motion from 4D echocardiographic images

被引：0
|
作者：
Chlebiej, Michal [1 ]
Nowinski, Krzysztof [2 ]
Scislo, Piotr [3 ]
Bala, Piotr [1 ]
机构：
[1] Nicholas Copernicus Univ, Fac Math & Comp Sci, Chopina 12-18,87-100, PL-87100 Torun, Poland
[2] Univ Warsaw, Interdisciplinary Ctr Math & Computat Modeling, PL-02106 Warsaw, Poland
[3] Med Acad Warsaw, Dept Cardiol, PL-02097 Warsaw, Poland
来源：
COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS | 2007年 / 4673卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The quantitative description of the cardiac motion is an important task for the assessment of the viability in the heart wall. Abnormalities in heart motion can eventually lead to life threatening cardiac injuries therefore measurements of dynamic heart functions are of great clinical importance. In this work we present a method for estimating heart motion from 4D (3D+time) echocardiographic images. Our approach involves non-linear 4D anisotropic diffusion filtering of the data, non-rigid registration of time sequence, noise removal by time averaging, shape and texture based segmentation and finally the reconstruction of the dynamic 3D model of the heart.
引用
收藏
页码：245 / 252
页数：8
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