AUTOMATED QUANTITATION OF 3D ECHOCARDIOGRAMS

描述(摘自申请者的摘要)：这项研究将 确定自动检测 三维(3D)超声心动图测量左心室 扫描。目标是将心内膜和心外膜描绘为3D 用于测量心脏参数的表面。方法是 将LV和相关结构的3D模型与图像数据相匹配。 假设是将心脏范围的知识结合起来 正常人和心脏疾病患者的形态观察 转换为3D模型将通过以下方式促进自动边界检测(ABD 将这一过程限制为只产生心形。这个 调查人员已经开发出计算机算法，用于 三维和三维重建左心内膜和心外膜表面 计算LV三维形状的均值和协方差矩阵 基于从3D重建样本中获取的数据。其他内容 对51名正常人和35名心脏病患者进行了3D扫描 被获取并进行了部分分析。建议的具体目标 主要工作有：1)完成了超声灰阶模型的建立 心脏在任何平面上的表现：右心室，心包， 并将乳头肌加入到目前的LV模型中；2) 完成了图像特征提取算法和网格特征提取算法 利用提取的特征来优化程序以拟合3D 对患者的图像数据进行建模；3)论证了该方法的可行性 使用模拟图像对ABD过程进行模拟。在第二阶段中，这些组件 将对3D超声边界检测过程进行测试和 根据需要进行修改，以产生临床可接受的准确度 和性能。第三阶段：定量三维超声心动图 通过将ABD算法安装到硬件中来开发系统 和软件系统，用于采集和分析人体的三维回波扫描 心。这项研究很重要，因为提高了精确度 在没有3D ECHO的情况下，无法应用于临床实践 自动化。 建议的商业应用： 这项拨款的建议商业用途是发展一项 一种用于三维采集的硬件和软件系统 超声心动图和进行大小的定量分析， 左心室的形态和功能。

DESCRIPTION (Adapted from applicant's abstract): This research will determine the feasibility of automatically detecting the borders of the left ventricle (LV) from a three-dimensional (3D) echocardiographic scan. The goal is to delineate the endocardium and epicardium as 3D surfaces for use in measuring cardiac parameters. The approach is to fit a 3D model of the LV and associated structures to the image data. The hypothesis is that incorporating knowledge of the range of heart shapes observed among normal subjects and patients with diseased hearts into a 3D model will facilitate automated border detection (ABD) by constraining the process to only yield heart-like shapes. The investigators have already developed the computer algorithms for reconstructing the LV endocardial and epicardial surfaces in 3D and for calculating the mean and covariance matrix for the 3D shape of the LV based on data acquired from a sample of 3D reconstructions. Additional 3D scans of 51 normal subjects and 35 patients with diseased hearts have been acquired and partially analyzed. The specific aims of the proposed work are: 1) to complete the ultrasound model of the gray scale appearance of the heart in any plane: the right ventricle, pericardium, and papillary muscles will be added to the current LV model; 2) to complete the algorithms for feature extraction from images, and for mesh optimization the procedure using the extracted features to fit the 3D model to the patients image data; and 3) to demonstrate the feasibility of the ABD process using simulated images. In Phase II these components of the 3D ultrasound border detection process will be tested and modified as necessary to yield clinical acceptable levels of accuracy and performance. In Phase III a quantitative 3D echocardiographic system will be developed by installing the ABD algorithm into a hardware and software system for acquiring and analyzing 3D echo scans of the heart. This research is important because the improved accuracy afforded by 3D echo cannot be applied to clinical practice without automation. PROPOSED COMMERCIAL APPLICATION: The proposed commercial application for this grant is to develop a hardware and software system for acquiring three dimensional echocardiograms and for performing quantitative analysis of the size, shape, and function of the left ventricle.