Quantitative Coronary Hemodynamics Derived from CT Angiography

CT 血管造影得出的定量冠状动脉血流动力学

• 批准号: 8509973
• 负责人: Dimitrios Mitsouras
• 金额: $ 17.33万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-04-15 至 2016-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8509973
• 关键词: 3D Print; Address; Adenosine; Algorithms; Angiography; Arteries; Back; Beryllium; Blood; Blood Circulation; Blood flow; Cardiac; Cardiovascular system; Catheters; Cause of Death; Clinical; Clinical Data; Clinical Management; Contrast Media; Coronary; Coronary Arteriosclerosis; Coronary artery; Data; Detection; Development; Diagnostic; Diagnostic Imaging; Drug Formulations; Engineering; Evaluation; Funding; Goals; Health; Health Care Costs; Health Sciences; Health Technology; High Performance Computing; Image; In Vitro; Individual; Intervention; K-Series Research Career Programs; Learning; Lesion; Light; Link; Liquid substance; Literature; Mathematics; Measurement; Measures; Medicine; Mentored Research Scientist Development Award; Mentors; Mentorship; Methods; Metric; Modeling; Myocardial perfusion; Noise; Patients; Pattern; Pattern Recognition; Performance; Perfusion; Photons; Physics; Population; Problem Solving; Protocols documentation; Publishing; Radiology Specialty; Research; Research Personnel; Research Project Grants; Residual state; Rest; Risk; Role; Science; Scientist; Sensitivity and Specificity; Severities; Signal Transduction; Simulate; Solutions; Stenosis; Stress; Structure; System; Techniques; Technology; Testing; Time; Training; Training Programs; Translating; Trees; Variant; Western World; Work; Workplace; X-Ray Computed Tomography; base; cardiovascular imaging; career; career development; clinical application; clinical care; cohort; computer science; computerized data processing; coronary computed tomography angiography; design; diagnostic accuracy; hemodynamics; improved; in vivo; information model; innovation; mathematical model; novel; novel strategies; professor; prospective; public health relevance; research study; simulation; skills; time use

DESCRIPTION (provided by applicant): This mentored career development award will enable the training and career transition of a productive, innovative, successful junior scientist. A key element is training and mentorship by thought-leaders in the field of cardiovascular diagnostic imaging and medicine. The applicant, Dr. Mitsouras, has been trained in computer science, physics, and applied mathematics at Brown and MIT. He is a successful MR physicist with important contributions to the field. He is Assistant Professor of Radiology at Harvard, and the Director of MR Physics and Engineering of the BWH Applied Imaging Science Lab (AISL), directed by Dr. Rybicki. A successful PI and skilled mentor, Dr. Rybicki will enthusiastically support and mentor Dr. Mitsouras to career independence. Noninvasive imaging for patients with coronary artery disease (CAD) is gravitating to CT; the proposed research addresses some of its current limitations in clinical care. The AISL evaluates new CT technologies, and has studied and published the potential of coronary enhancement to extend clinical information. It is recognized that the next leap in clinical cardiac CT is flow quantification; Dr. Mitsouras proposes a transformative new approach to this body of work. For the candidate, the transition from MR basic physics to clinical CT applications creates a large, unmet training need. Classroom based (Harvard/MIT Division of Health Sciences and Technology) and practical imaging based (BWH noninvasive cardiovascular imaging program) training will ideally bridge this gap. This K01 proposal also integrates mentorship from renowned experts who know and are eager to work with Dr. Mitsouras. The team includes Dr. Mel Clouse, an exceptional clinician and mentor, Dr. Xiaochuan Pan, an expert in CT physics, Dr. Tae Bae, an expert in contrast delivery, Dr. Al Lardo, an expert in modeling myocardial perfusion, and Dr. Joao Lima, an expert in advanced clinical applications. This exceptional team will navigate Dr. Mitsouras in a structured research project, capitalizing on their collective expertise and Dr. Mitsouras' existing skills. Together, tey will extend the role of noninvasive CAD imaging by applying innovative methods to extract blood flow from clinical CT angiography. At present, noninvasive access to flow is limited to simulated fluid dynamics using an arterial lumen segmented from clinical images. We advance this field with a novel transition from such CT-based flow, to CT-derived flow: quantitative flow that is derived either directly or indirectly from the spatio-temporal patterns of arterial contrast enhancement observed in vivo. A growing body of literature supports qualitative flow information is embedded in CTA enhancement patterns across an artery. We show these patterns in fact possess smooth space and time variations that are intrinsically linked to flow. By unifying signal processing and pattern recognition with high-performance fluid dynamics modeling, this information will be accessed for the first time to quantify true patient-specific flow and yield lesion-specific hemodynamic metrics such as fractional flow reserve.

描述（由申请人提供）：该导师职业发展奖将为富有成效、创新、成功的青年科学家提供培训和职业转型。一个关键因素是由心血管诊断成像和医学领域的思想领袖进行培训和指导。申请人Mitsouras博士曾在布朗大学和麻省理工学院接受过计算机科学、物理和应用数学方面的培训。他是一位成功的磁共振物理学家，对该领域做出了重要贡献。他是哈佛大学放射学助理教授，也是由Rybicki博士指导的BWH应用成像科学实验室（AISL）的MR物理和工程主任。作为一个成功的PI和熟练的导师，Rybicki博士将热情地支持和指导Mitsouras博士的职业独立。冠状动脉疾病（CAD）患者的无创成像正在向CT倾斜；提出的研究解决了目前在临床护理中的一些局限性。AISL评估了新的CT技术，并研究和发表了冠状动脉增强的潜力，以扩展临床信息。公认临床心脏CT的下一个飞跃是血流量化；Mitsouras博士建议道