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首页> 外文期刊>Medical image analysis >Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography
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Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography

机译:3D超声心动图的个性化二尖瓣闭合计算与不确定性分析

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摘要

Intervention planning is essential for successful Mitral Valve (MV) repair procedures. Finite-element models (FEM) of the MV could be used to achieve this goal, but the translation to the clinical domain is challenging. Many input parameters for the FEM models, such as tissue properties, are not known. In addition, only simplified MV geometry models can be extracted from non-invasive modalities such as echocardiography imaging, lacking major anatomical details such as the complex chordae topology. A traditional approach for FEM computation is to use a simplified model (also known as parachute model) of the chordae topology, which connects the papillary muscle tips to the free-edges and select basal points. Building on the existing parachute model a new and comprehensive MV model was developed that utilizes a novel chordae representation capable of approximating regional connectivity. In addition, a fully automated personalization approach was developed for the chordae rest length, removing the need for tedious manual parameter selection. Based on the MV model extracted during mid-diastole (open MV) the MV geometric configuration at peak systole (closed MV) was computed according to the FEM model. In this work the focus was placed on validating MV closure computation. The method is evaluated on ten in vitro ovine cases, where in addition to echocardiography imaging, high-resolution CT imaging is available for accurate validation. (C) 2016 Elsevier B.V. All rights reserved.
机译:干预计划对于成功的二尖瓣(MV)修复程序至关重要。 MV的有限元模型(FEM)可用于实现这一目标,但到临床领域的翻译是具有挑战性的。用于FEM模型的许多输入参数,例如组织属性,尚不清楚。另外,只有简化的MV几何模型可以从诸如超声心动图成像的非侵入式模态中提取,缺乏诸如复杂的Chordae拓扑的主要解剖细节。传统的有限元计算方法是使用Chordae拓扑的简化模型(也称为降落伞模型),其将乳头状肌肉尖端连接到自由边缘并选择基本点。在现有的降落伞模型上建立一个新的和全面的MV模型,该模型利用了能够近似区域连接的新型Chordae表示。此外,为Chordae休息长度开发了一种全自动的个性化方法,去除需要繁琐的手动参数选择。基于在中舒张中提取的MV模型(打开MV)根据有限元模型计算峰值收缩池(闭合MV)的MV几何构造。在这项工作中,重点是验证MV闭合计算。该方法是在十种体外绵羊病例中进行评估,其中除超声心动图成像外,高分辨率CT成像还可用于准确验证。 (c)2016年Elsevier B.v.保留所有权利。

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