Automated LV Wall Thickness in 3D by Ultrasound

描述（由申请人提供）： 我们的总体目标是通过在临床实践中提供定量心脏测量来改善患者护理。我们以前已经取得了实质性的成功，快速和准确的确定左心室（LV）的体积，射血分数和边界位置的超声心动图。该技术将被修改和扩展，以更准确地确定区域壁厚。该过程使用正常和患病的人类心室的几何形状的测量变化的知识库，以从超声心动图图像快速且准确地三维（3D）重建患者的心室表面。简而言之，该方法是捕获具有已知位置和取向的2D超声心动图，使用具有测量表面的目录的优化程序在3D中检测这些图像上的心室表面边界，并且从这些边界位置或从计算的3D表面计算期望的心脏参数。该I期项目的具体目的是证明通过使用双表面LV形状的知识库来改进壁厚测量的可行性。基于超声的测量的准确性将通过磁共振成像进行验证。除了准确的壁厚，这种LV量化方法还将提供区域形状信息。本项目将：建立一个由10个病例组成的测试套件，并根据MRI建立几何结构。分析双重曲面目录拟合方法正确估计每个案例的几何的能力。

DESCRIPTION (provided by applicant): Our overall objective is to improve patient care by making quantitative cardiac measurement available in clinical practice. We have previously achieved substantial success in fast and accurate determination of left ventricle (LV) volume, ejection fraction and border location from echocardiograms. This technology will be modified and extended to determine regional wall thickness more accurately. The process uses a knowledgebase of the measured variation in geometry of normal and diseased human cardiac ventricles to rapidly and accurately reconstruct a patient's ventricle surface in three dimensions (3D) from echocardiogram images. In brief the approach is to capture 2D echocardiograms with known positions and orientations, to detect the ventricle surface borders on these images in 3D using in optimization program with a catalog of measured surfaces, and to compute the desired cardiac parameters from these border locations or from the computed 3D surface. The specific intent of this Phase I project is to demonstrate feasibility of improving wall thickness measurement by using a knowledge base of dual surface LV shapes. The accuracy of the measurements based on ultrasound will be verified with magnetic resonance imaging. In addition to accurate wall thicknesses, this approach to LV quantification will also provide regional shape information. This project will: Establish a test suite of 10 cases with geometry established from MRI. Analyze the ability of the dual surface catalog fit method to correctly estimate the geometry of each case.