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

• 批准号: 2750469
• 负责人: Sandor J. Kovacs
• 金额: $ 18.65万
• 依托单位: BARNES-JEWISH HOSPITAL
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-13 至 2000-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2750469
• 关键词: biomedical equipment development; clinical research; diagnosis design /evaluation; echocardiography; heterodyning; human subject; image processing; noninvasive diagnosis

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（改编自申请人的摘要）：申请人有 在各种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，用于分析舒张期 经膜多普勒流速度图像。 该方法可以提取 来自传播多普勒的定量生理信息 超声心动图图像以前无法获得或只能 通过心脏导管插入术确定。 拟议的研究遵循两个 主，互连的主题：i）MBIP方法的改进和ii） 体内验证。 具体来说，以下MBIP步骤将是 精制：1）机器独立的多普勒图像通过视频获取 框架，2）提取最大速度轮廓，3）拟合 使用数字处理，将LV填充模型解决到轮廓， 估计理论和误差最小化。 体内组件将测试 生理上相关的无创定量的假设 DF可以通过此MBIP方法来实现。 MBIP优势，相比 多普勒分析的可用方法包括：1）Echo Machine独立， 数值确定的，而不是手持/手工绘制的多普勒 速度轮廓，2）因果，而不是相关建模，3） 由数值（自动）均值确定的唯一值值的模型参数 直接来自多普勒图像，4）DF参数的无创测定 以前需要导管插入。 拟议的研究将确定 通过膜中膜多普勒超声心动图获得的生理DF参数， 并通过同时在左右心脏导管中验证它们 符合包容性标准的受试者。 具体目的是：1） 改进并扩展MBIP方法进行心脏舒张多普勒分析，2） 验证MBIP衍生和侵入性指数之间的关系 通过分析同时舒张多普勒和高保真性DF 血液动力学数据和基于MBIP的预测，3）验证生理学 MBIP参数的类似物作为临床相关的多普勒衍生索引 DF。