Parameterization of left ventricular wall motion for detection of regional ischemia

Parameterization of left ventricular wall motion for detection of regional ischemia
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DOI:
10.1007/s10439-005-3312-7
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发表时间:
2005-07-01
影响因子:
3.8
通讯作者:
Holmes, JW
Holmes, JW
中科院分区:
工程技术2区
文献类型:
--
作者:
Herz, SL;Ingrassia, CM;Holmes, JW

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虽然定性室壁运动分析已被证明在临床心脏病学实践中很有价值,但定量分析对于常规的临床应用来说仍然太耗时。因此,我们的长期目标是开发用于定量室壁运动分析的自动化方法。本文利用犬左心室局部缺血的有限元模型,提出了一种基于长球面坐标下左室心内膜表面参数化的新方法。参数化提供了大量的数据缩减,并使得三维分数缩短(3DFS)的定义、计算和显示变得简单,3D分数缩短是一种类似于2D分析中使用的分数缩短测量的室壁运动的定量测量。3DFS显示的心内膜无运动或运动障碍的面积与模拟的缺血区大小密切相关,3DFS在犬实验性冠脉闭塞期间发现了适当的室壁运动异常。因此,3DFS似乎是一个合理的候选临床试验,以确定其在识别和量化患者的急性局部缺血的有效性。通过将最先进的有限元模型连接到临床相关的室壁运动分析框架,这里提出的方法将有助于在计算机预筛选和临床测试中形成额外的室壁运动候选测量。
While qualitative wall motion analysis has proven valuable in clinical cardiology practice, quantitative analyses remain too time-consuming for routine clinical use. Our long-term goal is therefore to develop automated methods for quantitative wall motion analysis. In this paper, we utilize a finite element model of the regionally ischemic canine left ventricle to demonstrate a new approach based on parameterization of the left ventricular endocardial surface in prolate spheroidal coordinates. The parameterization provided a substantial data reduction and enabled simple definition, calculation, and display of three-dimensional fractional shortening (3DFS), a quantitative measure of wall motion analogous to the fractional shortening measure used in 2D analysis. The endocardial surface area displaying akinesis or dyskinesis by 3DFS corresponded closely to simulated ischemic region size and 3DFS identified appropriate wall motion abnormalities during experimental coronary occlusion in a canine pilot study. 3DFS therefore appears to be a reasonable candidate for clinical tests to determine its utility in identifying and quantifying acute regional ischemia in patients. By linking state of the art finite element models to the clinically relevant framework of wall motion analysis, the methods presented here will facilitate formulation, in silico prescreening, and clinical testing of additional candidate measures of wall motion.