Parameterization of Cardiac Wall Motion: Reuniting Engineering and Cardiology

0201617 Holmes在这项研究者发起的奖项下，PI将开发从4D超声心动图图像（随时间变化的3D）表征心脏运动的方法，从而利用心脏病学家在成像技术和工程师在应变分析方面近几十年来取得的进步。 一个多学科小组将分析数据库中的4D超声图像，该数据库是由哥伦比亚的新型4D超声扫描仪获得的。该提案有三个目标：1）在最适合于检测局部室壁运动异常和测试潜在检测策略的参数空间中建立心内膜壁运动的参数4D表示，2）使用3D有限元模型来估计在3D超声图像上会产生可检测的壁运动异常的缺血区域或疤痕的尺寸，以及选择用于显示关于检测到的室壁运动异常的信息的方法，该方法最好地增强检测，同时促进心脏病专家的接受度。 将开发教学材料来描述分析心脏功能的各种历史方法，并概述当前的技术水平。

0201617HolmesUnder this Investigator Initiated Award, the PIs will develop methods to characterize cardiac motion from 4D echocardiographic images (3D over time), thus taking advantage of advances made in recent decades by cardiologists in imaging technologies and by engineers in strain analyses. A multidisciplinary team will analyze 4D ultrasound images in a database obtained with a novel 4D ultrasound scanner at Columbia. The proposal has three objectives: 1) Establish a parametric 4D representation of endocardial wall motion in a parameter space optimally suited to detecting regional wall motion abnormalities and test potential detection strategies, 2) Use a 3D finite element model to estimate the sizes of ischemic regions or scars that would produce detectable wall motion abnormalities on 3D ultrasound images and 3) select a method for displaying information on detected wall motion abnormalities that best enhances detection while promoting acceptance among cardiologists. Teaching materials will be developed to describe various historical approaches to analyzing heart function and to outline the current state of the art.