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MODEL BASED IMAGE PROCESSING IN DOPPLER ECHOCARDIOGRAPHY

多普勒超声心动图中基于模型的图像处理

基本信息

批准号：
6043846
负责人：
Sandor J. Kovacs
金额：
$ 19.07万
依托单位：
BARNES-JEWISH HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
1997
资助国家：
美国
起止时间：
1997-08-13 至 2001-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6043846
关键词：
bioimaging /biomedical imaging biomedical equipment development clinical research diagnosis design /evaluation echocardiography heterodyning human subject image processing noninvasive diagnosis

项目摘要

DESCRIPTION (Adapted from Applicant's Abstract): The applicants have developed and tested, on various manufacturers' echocardiography equipment, a model-based image processing (MBIP) method for the analysis of diastolic transmitral Doppler flow velocity images. The method can extract quantitative physiologic information from transmitral Doppler echocardiographic images that previously could not be obtained or could only be determined by cardiac catheterization. The proposed research follows two main, interconnected themes: I) refinement of the MBIP method and, II) in-vivo verification. Specifically, the following MBIP steps will be refined: 1) machine independent Doppler image acquisition via video frame-grabbing, 2) extraction of the maximum velocity contour, and 3) fit solution of LV filling model to the contour using digital processing, estimation theory and error minimization. The in-vivo component will test the hypothesis that physiologically relevant, non-invasive quantitation of DF can be achieved by this MBIP method. MBIP advantages, in comparison to available methods of Doppler analysis include: 1) echo machine independent, numerically determined, rather than hand-traced/hand-digitized Doppler velocity contours, 2) causal, rather than correlative modeling, 3) unique-valued model parameters determined by numerical (automated) means directly from Doppler images, 4) noninvasive determination of DF parameters previously requiring catheterization. The proposed research will identify physiologic DF parameters obtained by transmitral Doppler echocardiography, and verify them, by simultaneous left and right heart catheterization in subjects meeting inclusionary criteria. The Specific Aims are to: 1) refine and extend the MBIP method for cardiac diastolic Doppler analysis, 2) validate the relation between MBIP-derived and invasively-derived indices of DF by analysis of simultaneous diastolic Doppler and high-fidelity hemodynamic data and MBIP based predictions, 3) verify the physiologic analogues of MBIP parameters as clinically relevant Doppler-derived indexes of DF.

描述（改编自申请人摘要）：申请人有在不同制造商的超声心动图设备上开发和测试，一种基于模型的图像处理（MBIP）方法，用于分析舒张压二尖瓣多普勒血流速度图像。该方法可以提取二尖瓣多普勒定量生理信息以前无法获得或只能通过心导管检查确定。研究建议遵循两个主要的，相互关联的主题：I）MBIP方法的改进，以及II）体内验证。具体而言，以下MBIP步骤将是改进：1）通过视频采集与机器无关的多普勒图像帧抓取，2）提取最大速度轮廓，以及3）拟合使用数字处理将LV充盈模型求解为轮廓，估计理论和误差最小化。体内组件将测试假设生理相关的，非侵入性的定量通过这种MBIP方法可以实现DF。 MBIP的优势，与可用的多普勒分析方法包括：1）独立于回波机器，数字确定，而不是手动跟踪/手动数字化多普勒速度等值线，2）因果关系，而不是相关建模，3）通过数值（自动）方法确定的唯一值模型参数直接从多普勒图像，4）无创确定DF参数以前需要导管插入术。拟议的研究将确定通过二尖瓣多普勒超声心动图获得生理DF参数，并通过同时进行左、右心导管插入术进行验证，符合入选标准的受试者。具体目标是：1）改进和扩展用于心脏舒张期多普勒分析的MBIP方法，2）验证MBIP衍生指数和侵入性衍生指数之间的关系，舒张期多普勒和高保真同步分析DF 血流动力学数据和基于MBIP的预测，3）验证生理作为临床相关多普勒衍生指数的MBIP参数的类似物的DF。