Towards Automatic Assessment of the Mitral Valve Coaptation Zone from 4D Ultrasound

被引：11

作者：

Engelhardt, Sandy ^{[1
]}

Lichtenberg, Nils ^{[1
,2
]}

Al-Maisary, Sameer ^{[3
]}

De Simone, Raffaele ^{[3
]}

Rauch, Helmut ^{[4
]}

Roggenbach, Jens ^{[4
]}

Mueller, Stefan ^{[2
]}

Karck, Matthias ^{[3
]}

Meinzer, Hans-Peter ^{[1
]}

Wolf, Ivo ^{[1
,5
]}

机构：

[1] DKFZ, Med & Biol Informat, Heidelberg, Germany

[2] Univ Koblenz Landau, Inst Computat Visualist, Koblenz, Germany

[3] Univ Heidelberg Hosp, Dept Cardiac Surg, Heidelberg, Germany

[4] Univ Heidelberg Hosp, Dept Anesthesiol, Heidelberg, Germany

[5] Univ Appl Sci, Mannheim, Germany

来源：

FUNCTIONAL IMAGING AND MODELING OF THE HEART (FIMH 2015) | 2015年 / 9126卷

关键词：

LEAFLET; SEGMENTATION;

D O I：

10.1007/978-3-319-20309-6_16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The coaptation zone is the part of the two mitral valve leaflets that collide during the cardiac cycle. It is an important parameter for the valve's function and closing capability, but difficult to assess. In this work, we present an automatic approach for leaflet segmentation from 4D ultrasound images, which incorporates steps for coaptation zone modelling and allows determining the coaptation zone from the resulting leaflet surface. The method segments the leaflets over the whole cardiac cycle given a previously segmented annulus model. To provide a meaningful analysis of the coaptation line assessment, the mean error between ground truth model and segmented model has been computed for each leaflet separately. For the anterior leaflet, we achieved a mean error of 1.16 +/- 0.38mm and 1.24 +/- 0.37mm for the posterior leaflet, respectively.

引用

收藏

页码：137 / 145

页数：9

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