Multi-Scale Model of the Human Heart for Imaging Research

用于成像研究的人类心脏多尺度模型

• 批准号: 8215727
• 负责人: William P Segars
• 金额: $ 49.8万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-04-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8215727
• 关键词: Algorithms; Anatomy; Architecture; Automobile Driving; Biomechanics; Biophysics; Canis familiaris; Cardiac; Cardiovascular Diseases; Cell physiology; Cells; Characteristics; Communities; Complex; Computer Simulation; Data; Development; Diagnosis; Diffusion; Disease; Echocardiography; Education; Elements; Fiber; Foundations; Future; General Population; Goals; Health; Heart; Human; Human body; Image; Imaging Device; Imaging Techniques; Imaging technology; Left ventricular structure; Link; Magnetic Resonance Imaging; Maps; Mechanics; Medical Imaging; Methods; Modality; Modeling; Muscle; Myocardial; Normal Statistical Distribution; Patients; Physicians; Physiology; Population; Procedures; Process; Property; Research; Resolution; Right ventricular structure; Scanning; Series; Simulate; Slice; Structure; Techniques; Training; Variant; Work; animal data; base; computational anatomy; digital; flexibility; heart function; heart imaging; human data; improved; innovation; insight; multi-scale modeling; patient population; simulation; tool

DESCRIPTION (provided by applicant): Integrated computational models of the heart have long been developed in order to gain a greater understanding of the normal and pathological function of the heart. A key component of these models is the myofiber architecture of the muscle tissue which dictates the heart's electrical and mechanical functions in health and disease. Due to computational concerns and the lack of high-resolution imaging data of the human myofiber architecture, previous computational models were based on animal data and were defined for just the right and left ventricles. With the development of more efficient algorithms for electromechanical modeling as well as advances in computational power and imaging technologies such as multi-slice CT and diffusion tensor MRI, it is now feasible to develop more complex and detailed models for the human heart. The long term goal of this project is to develop and validate a 4D multi-scale finite-element (FE) computational model of the 4-chamber human heart capable of realistically simulating normal and abnormal cardiac anatomy and function based on state-of-the-art human imaging data. This proposal outlines the first step of the project which will focus on modeling the normal functioning human heart and its variations in a population. This normal cardiac model will provide the necessary foundation from which we may simulate disease processes in future work. The proposed heart model has enormous potential in education and research in biomechanics, biophysics, and physiology, providing a deeper understanding of the complexity of the human heart at multiple levels and the basis of its function in health and disease. It will provide a realistic framework to link structure and function from the cellular level to that of the intact human heart and to a group of anatomical variations found in the general population. The driving application for the cardiac model will be as a simulation tool for imaging research and education. When combined with a digital phantom for the human body, the model will provide realistic, predictive multi-modality patient imaging data from anatomically diverse subjects in health and disease. With this ability, the model will provide a unique and vital tool to quantitatively evaluate and compare current and emerging 4D imaging techniques used in the diagnosis of cardiovascular disease. It may also provide simulated data using various procedures and scanning parameters to train physicians. PUBLIC HEALTH RELEVANCE: The goal of this proposal is to develop a computational model of the human heart, spanning biophysical scales from cell to population, capable of realistically simulating normal and abnormal cardiac anatomy and function. The proposed heart model has enormous potential in education and research, providing a deeper understanding of the complexity of the human heart and the basis of its function in health and disease. It will provide a vital simulation tool for understanding the underlying mechanisms of cardiovascular disease and its effect on cardiac function and for evaluating and improving existing and emerging 4D imaging techniques used in its diagnosis.

描述（由申请人提供）：长期以来已经开发出心脏的综合计算模型，以便对心脏的正常和病理功能有更深入的了解。这些模型的关键组成部分是肌肉组织的肌纤维结构，它决定了心脏在健康和疾病中的电气和机械功能。由于计算问题以及缺乏人类肌纤维结构的高分辨率成像数据，因此以前的计算模型基于动物数据，并定义为右室和左心室。随着用于机电建模的更有效算法以及计算能力和成像技术的进步，例如多层CT和扩散张量MRI，现在可以为人类心脏开发更复杂且详细的模型。该项目的长期目标是开发和验证4D多尺度的有限元（FE）计算模型的4腔人类心脏，能够实际模拟基于最先进的人类成像数据的正常和异常的心脏解剖结构和功能。该提案概述了项目的第一步，该项目将着重于建模正常的人类心脏及其在人群中的变化。这种正常的心脏模型将提供必要的基础，我们可以在未来的工作中模拟疾病过程。拟议中的心脏模型在生物力学，生物物理学和生理学方面具有巨大的潜力，从而更深入地了解人心在多个层次上的复杂性以及其在健康和疾病中的功能的基础。它将提供一个现实的框架，可以将结构和功能从细胞水平连接到完整的人心脏，以及一组在一般人群中发现的解剖变异。心脏模型的驾驶应用程序将是用于成像研究和教育的模拟工具。当与人体的数字幻影结合使用时，该模型将提供来自健康和疾病中解剖学上不同受试者的现实，预测的多模式的患者成像数据。凭借这种能力，该模型将提供一种独特而重要的工具，以定量评估和比较用于诊断心血管疾病的电流和新兴的4D成像技术。它还可以使用各种程序和扫描参数来提供模拟数据来培训医生。公共卫生相关性：该提案的目的是开发人心脏的计算模型，涵盖从细胞到人群的生物物理量表，能够现实地模拟正常和异常的心脏解剖结构和功能。拟议中的心脏模型在教育和研究中具有巨大的潜力，可以更深入地了解人心的复杂性及其在健康和疾病中的功能的基础。它将提供一个重要的仿真工具，以了解心血管疾病的潜在机制及其对心脏功能的影响，并评估和改善其诊断中使用的现有和新兴的4D成像技术。

项目成果

Precision medicine in human heart modeling : Perspectives, challenges, and opportunities.

• DOI: 10.1007/s10237-021-01421-z
• 发表时间: 2021-06
• 期刊: Biomechanics and modeling in mechanobiology
• 影响因子: 3.5
• 作者: Peirlinck M;Costabal FS;Yao J;Guccione JM;Tripathy S;Wang Y;Ozturk D;Segars P;Morrison TM;Levine S;Kuhl E
• 通讯作者: Kuhl E