Patient-Specific Modeling for Analysis of Aortic Aneurysms

用于分析主动脉瘤的患者特异性模型

• 批准号: 8762692
• 负责人: Caitlin Marie Martin
• 金额: $ 4.27万
• 依托单位: GEORGIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-06 至 2016-01-05
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8762692
• 关键词: Affect; Age; Anatomy; Aneurysm; Aortic Aneurysm; Biomechanics; Biomedical Research; Biomedical Technology; Blood flow; Cadaver; Calculi; Caliber; Cardiac; Cardiovascular Diseases; Cardiovascular system; Clinical; Computational Science; Computing Methodologies; Congenital Abnormality; Congenital Heart Defects; Connecticut; Control Groups; Coupled; Data; Data Analyses; Development; Diagnostic; Diagnostic radiologic examination; Disease; Economic Inflation; Elements; Engineering; Environmental Risk Factor; Evaluation; Fellowship; Gender; Geometry; Goals; Guidelines; Heart; Hospitals; Image Analysis; Individual; Interdisciplinary Education; Knowledge; Learning; Measurement; Mechanics; Medical Imaging; Mitral Valve; Modeling; Natural History; Patients; Philadelphia; Physiological; Plant Roots; Play; Population; Process; Property; Publications; Research; Research Personnel; Research Training; Risk; Role; Rupture; Ruptured Aneurysm; Ruptured Aortic Aneurysms; Scanning; Science; Series; Shapes; Slice; Stress; Structure; Surgeon; Techniques; Testing; The Sun; Tissue Sample; Tissues; Training; Tricuspid valve structure; Universities; Variant; Work; X-Ray Computed Tomography; aortic valve; ascending aorta; base; bicuspid aortic valve; design; medical schools; pressure; reconstruction; repaired; research study; tool

DESCRIPTION (provided by applicant): Currently, aortic aneurysm rupture potential is primarily evaluated based on the aneurysm diameter; however, the overall aneurysm diameter has been shown to be an unreliable predictor of aneurysm rupture. Specific aneurysm geometry and aortic tissue properties can have a profound effect on the vessel wall stress for each individual patient; therefore, it is critical to consider the patient-specific aortic root and ascending aorta geometry and elastic properties to accurately assess the risk of aneurysm rupture. Therefore, my goal in this study is to utilize clinical diagnostic 64-slice CT images, coupled with experimentally derived aneurismal tissue properties, to develop patient-specific finite element models for the analysis of ascending aortic aneurysm in bicuspid aortic valve (BAV) patients. To accomplish this goal, I will study and compare healthy tricuspid valve patients with no aortic aneurysm and BAV patients with aortic aneurysm. Specifically, I will perform 1) Modeling of patient-specific aortic geometries using statistical shape models; 2) Integration of patient-specific aortic tissue properties with their geometries in the development of patient-specific finite element models of the aortic root and the ascending aorta; and 3) Analysis of vessel wall stress and aneurysm rupture potential and elicitation of a more reliable predictor than the current size criterion. This research training fellowship will provide me with the unique opportunity to learn the interdisciplinary knowledge of cardiovascular disease and its treatment using engineering tools. Throughout this training, I will work closely with my sponsor Dr. Wei Sun, an expert in the field of cardiovascular biomechanics, my co-sponsor, Dr. James Duncan, an expert in the field of medical image analysis, and my cosponsor, Dr. John Elefteriades, a renowned cardiac surgeon and expert on aortic aneurysms. I will learn how to apply imaging analysis techniques, engineering mechanics principles, and computational sciences to analyze aortic biomechanics. I will also be trained on the process of the design, implementation, and evaluation of biomedical research. Completion of this training fellowship will be a vital stepping stone in my journey to become an independent researcher in the field of cardiovascular biomechanics.

描述（由申请人提供）：目前，主动脉瘤破裂电位主要是基于动脉瘤直径评估的；然而，总体动脉瘤直径已被证明是动脉瘤破裂的不可靠预测指标。特定的动脉瘤几何形状和主动脉组织特性可以对每个患者的血管壁应力产生深远的影响；因此，重要的是要考虑患者特异性主动脉根和上升主动脉几何形状和弹性特性，以准确评估动脉瘤破裂的风险。因此，我在这项研究中的目标是利用临床诊断64片CT图像，再加上实验衍生的动脉症组织特性，以开发患者特异性有限元模型，以分析升高的双肌双主动脉瓣主动脉瓣主动脉瓣主动脉瘤（BAV）患者的升高主动脉瘤。为了实现这一目标，我将研究和比较没有主动脉瘤和主动脉瘤患者的健康三尖瓣患者。具体而言，我将执行1）使用统计形状模型对患者特异性主动脉几何形状进行建模； 2）将患者特异性主动脉组织特性及其几何形状整合在主动脉根的患者特异性有限元模型和升高主动脉的发展中； 3）分析血管壁应力和动脉瘤破裂潜力和更可靠的预测因子的分析。这项研究培训奖学金将为我提供独特的机会，以学习心血管疾病及其使用工程工具的治疗的跨学科知识。在整个培训中，我将与我的赞助商Wei Sun博士密切合作，Wei Sun博士是心血管生物力学领域的专家，我的共同赞助商James Duncan博士是医学图像分析领域的专家，以及我的共同赞助者John Elefteriades博士，著名的心脏外科医生和主动脉Aneururysms的专家。我将学习如何应用成像分析技术，工程力学原理和计算科学来分析主动脉生物力学。我还将在生物医学研究的设计，实施和评估过程中接受培训。在我成为心血管生物力学领域的独立研究人员的旅程中，这项培训奖学金的完成将是一个至关重要的垫脚石。