Automated segmentation and geometrical modeling of the tricuspid aortic valve in 3D echocardiographic images.
Automated segmentation and geometrical modeling of the tricuspid aortic valve in 3D echocardiographic images.
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DOI：
10.1007/978-3-642-40811-3_61
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Yushkevich, Paul A.
中科院分区：
文献类型：
--
作者：
Pouch, Alison M.;Wang, Hongzhi;Takabe, Manabu;Jackson, Benjamin M.;Sehgal, Chandra M.;Gorman, Joseph H., III;Gorman, Robert C.;Yushkevich, Paul A.
关键词：
主动脉瓣已被描述为具有不同的解剖学定义，并且在医学图像数据中瓣膜尺寸的2D手动测量的一致性一直存在疑问。鉴于基于图像的形态学评估在主动脉瓣疾病的诊断和外科治疗中的重要性，非常需要开发用于3D瓣膜分割和形状表示的标准化框架。为了实现这一目标，这项工作集成了基于模板的内侧建模和多图集标签融合技术，自动描绘和定量描述主动脉瓣叶几何形状的三维超声心动图（3DE）图像，一个具有挑战性的任务，已探索到有限的程度。该方法利用主动脉瓣叶图像外观的专家知识，生成具有一致拓扑结构的分割，并在主动脉瓣叶上建立基于形状的坐标系，从而实现标准化的自动测量。在这项研究中，该算法进行了评估11正常人主动脉瓣叶的3DE图像在收缩中期收购。该方法的临床相关性在于其能够以最少的用户交互在3DE图像数据中捕获瓣叶几何形状，同时产生3D主动脉瓣叶几何形状的一致测量值。
The aortic valve has been described with variable anatomical definitions, and the consistency of 2D manual measurement of valve dimensions in medical image data has been questionable. Given the importance of image-based morphological assessment in the diagnosis and surgical treatment of aortic valve disease, there is considerable need to develop a standardized framework for 3D valve segmentation and shape representation. Towards this goal, this work integrates template-based medial modeling and multi-atlas label fusion techniques to automatically delineate and quantitatively describe aortic leaflet geometry in 3D echocardiographic (3DE) images, a challenging task that has been explored only to a limited extent. The method makes use of expert knowledge of aortic leaflet image appearance, generates segmentations with consistent topology, and establishes a shape-based coordinate system on the aortic leaflets that enables standardized automated measurements. In this study, the algorithm is evaluated on 11 3DE images of normal human aortic leaflets acquired at mid systole. The clinical relevance of the method is its ability to capture leaflet geometry in 3DE image data with minimal user interaction while producing consistent measurements of 3D aortic leaflet geometry.
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影响因子：
3.8
作者：
Pouch, Alison M.;Yushkevich, Paul A.;Sehgal, Chandra M.
通讯作者：
Sehgal, Chandra M.
DOI：
10.1016/j.jtcvs.2008.07.062
发表时间：
2009-04-01
影响因子：
6
作者：
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通讯作者：
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作者：
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影响因子：
10.6
作者：
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影响因子：
10.6
作者：
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通讯作者：
Gee, James C.