LV Strain Quantification from 4D Echocardiography

4D 超声心动图的 LV 应变量化

• 批准号: 7125671
• 负责人: JAMES S DUNCAN
• 金额: $ 141.95万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7125671
• 关键词: bioengineering /biomedical engineering; bioimaging /biomedical imaging; biomechanics; cardiovascular disorder diagnosis; cardiovascular imaging /visualization; clinical research; computer data analysis; diagnosis design /evaluation; disease /disorder classification; disease /disorder model; dogs; echocardiography; heart function; heart ventricle; human subject; image processing; magnetic resonance imaging; mathematical model; myocardial ischemia /hypoxia; patient oriented research; phantom model; radiodiagnosis; radiowave radiation; technology /technique development

DESCRIPTION (provided by applicant): Accurate, comprehensive, quantification of regional left ventricular (LV) deformation is crucial for detection, risk stratification, and management of patients with ischemic heart disease. In this BRP, four partners from two academic institutions and industry will work together to develop and validate an integrated imaging/ image analysis system that will accurately, robustly and reproducibly quantify regional LV strain and strain rate from four-dimensional (3 spatial dimensions and time) echocardiographic (4DE) image sequences. Intramural displacement will be estimated using a phase-sensitive-correlation-based speckle tracking approach being developed by a team lead by Matthew O'Donnell at the University of Michigan. This information will be derived from radiofrequency (RF) signal data acquired from an ultrasound array, giving access to beam-formed acoustic data, using an approach being developed by a team lead by Jeff Powers, Ph.D. from Philips Medical Systems. Displacement information at the myocardial surface will be derived from B-mode images using a shape-tracking strategy being developed by a team lead by James Duncan, Ph.D. at Yale University, who will also serve as the PI of the BRP. Intramural and surface displacement information will be combined using an integrated segmentation/deformation estimator based on a biomechanical model (also being developed at Yale), to provide comprehensive, 4D estimates of myocardial strains, strain rates and material parameters. The approach will be validated/evaluated using phantoms and in vivo testing in collaboration with a team lead by Yale cardiologist Albert Sinusas, M.D. In vivo evaluation will include experiments based on acute and chronic canine models of ischemic injury for the quantification of transmurality of injury, subsequent LV remodeling and response to ACE inhibitor therapy. Clinical feasibility will be established in human studies. The 4DE-derived indices of LV deformation will be shown to be comparable to those derived from Magnetic Resonance (MR) tagging.

描述（由申请人提供）：准确，全面，量化区域左心室（LV）变形对于缺血性心脏病患者的检测，风险分层和管理至关重要。在这个BRP中，来自两个学术机构和行业的四个合作伙伴将共同开发和验证一个集成的成像/图像分析系统，该系统将准确，稳健和可重复地量化区域LV应变和应变率，并从四维（3个空间维度和时间）超声心动图（4DE）图像序列中进行。将使用密歇根大学Matthew O'Donnell的团队负责人开发的基于相位敏感的斑点跟踪方法来估算壁内位移。此信息将源自从超声阵列中获取的射频信号数据，从而使用由Jeff Powers Ph.D.来自飞利浦医疗系统。心肌表面的位移信息将使用由James Duncan博士领导的团队领导者制定的形状跟踪策略从B模式图像得出。在耶鲁大学，他还将担任BRP的PI。壁内和表面位移信息将使用基于生物力学模型（也在耶鲁大学开发）的集成分割/变形估计器合并，以提供心肌菌株，应变率和材料参数的全面4D估计。该方法将使用幻影和体内测试对耶鲁大学心脏病专家Albert Sinusas的团队合作进行验证/评估。人类研究将建立临床可行性。 LV变形的4D衍生指标将显示与磁共振（MR）标记的索引相当。