High Performance Strain Rate Imaging (SRI) of the Heart

心脏的高性能应变率成像 (SRI)

• 批准号: 6642567
• 负责人: David Lambert McCubbrey
• 金额: $ 9.97万
• 依托单位: PIXEL VELOCITY, INC.
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-05-01 至 2004-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6642567
• 关键词: bioengineering /biomedical engineering; bioimaging /biomedical imaging; biomedical equipment development; computer program /software; computer system hardware; diagnosis design /evaluation; heart disorder diagnosis; heart function; heart imaging /visualization /scanning; image processing; noninvasive diagnosis

DESCRIPTION (provided by applicant): As the population of the developed world ages, and methods for cardiac therapy continually improve, there is a growing need for inexpensive, noninvasive assessment of cardiac function. Current strain rate imaging technology (SRI) has the potential to satisfy this need for a significant patient population since it can map contractile processes through and along the myocardial wall; however, its utility is limited because its estimates of deformation rate are angle-dependent. Pixel Velocity (PVI), working with the University of Michigan Biomedical Ultrasonics Lab (UM), proposes to develop an inexpensive correlation processor enabling high performance SRI of the heart. Our solution will provide real-time computation of tissue strain images and "trashograms"(i.e., images of the magnitude of the correlation coefficient.) The specific aims of this Phase I proposal are to specify the computational architecture and algorithm for: a) efficient, two-dimensional complex correlation of real-time ultrasound image sequences; b) SRI using adaptive frame decimation; and c) simultaneous real-time display of SRI and trashogram data. Finally, we will demonstrate the performance of candidate algorithms on a general purpose processor using real-time image data. The goal of Phase I is to provide hardware and software specifications to begin detailed design and implementation efforts in Phase II.

描述(由申请人提供)： 随着发达国家人口的老龄化和心脏治疗方法的不断改进，对廉价、非侵入性的心功能评估的需求越来越大。目前的应变率成像技术(SRI)有可能满足大量患者的这一需求，因为它可以绘制穿过和沿心肌壁的收缩过程；然而，由于其对变形率的估计是角度相关的，其应用受到限制。像素速度(PVI)与密歇根大学生物医学超声实验室(UM)合作，建议开发一种能够实现高性能心脏SRI的廉价相关处理器。我们的解决方案将提供组织应变图像和“垃圾图”(即相关系数大小的图像)的实时计算。该第一阶段提案的具体目标是指定用于：a)实时超声图像序列的高效、二维复数相关；b)使用自适应帧抽取的SRI；以及c)同时实时显示SRI和垃圾图数据的计算体系结构和算法。最后，我们将使用实时图像数据在通用处理器上演示候选算法的性能。第一阶段的目标是提供硬件和软件规范，以便在第二阶段开始详细的设计和实施工作。