MRI Measurement of the Mechanical Vulnerability of the Brain

大脑机械损伤的 MRI 测量

• 批准号: 10474698
• 负责人: PHILIP V BAYLY
• 金额: $ 4.86万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10474698
• 关键词: 3-Dimensional; Acceleration; Address; Adult; Age; Animals; Anterior; Biomedical Engineering; Brain; Brain Injuries; Cadaver; Characteristics; Chronic; Chronic Brain Injury; Cognitive deficits; Collaborations; Computer Models; Computer Simulation; Data; Delaware; Development; Elderly; Emotional disorder; Equipment; Female; Foundations; Frequencies; Gender; Helmet; Human; Image Analysis; Impulsivity; Individual; Injury; Left; Magnetic Resonance Imaging; Measurement; Measures; Mechanics; Memory impairment; Methods; Modeling; Motion; Pathology; Pattern; Physiologic pulse; Population; Prevention; Process; Property; Research; Research Personnel; Resolution; Rotation; Sex Differences; Shapes; Site; Specimen; Testing; Tissues; Translations; Traumatic Brain Injury; Universities; Washington; age effect; age group; base; chronic traumatic encephalopathy; college; cranium; data tools; design; elastography; experience; head impact; high school; image processing; imaging modality; improved; innovation; male; next generation; novel; predictive modeling; response; sensor; sex; simulation; three-dimensional modeling; tool; viscoelasticity

PROJECT ABSTRACT: This Bioengineering Research Partnership (BRP) will deliver comprehensive measurements of 3D deformation of the human brain, in males and females of different ages, caused by skull motions of different types, directions, and frequency content. We will then develop methods to use these data to build and evaluate computer models of traumatic brain injury (TBI) and chronic traumatic encephalopathy (CTE). Such data and methods to exploit them will enable the next generation of computer models to predict the chronic effects of repeated head impacts. We will thus address the un-met need for data and data-driven methods to guide and evaluate computer models of brain injury. We can now measure 3D deformation throughout the brain caused by (i) harmonic skull motion (using MR elastography, MRE), and (ii) impulsive linear and angular skull acceleration (using tagged MRI). These measurements can quantify the mechanical vulnerability of the brain, which will be of great value to three classes of end-users: (A) developers of computer models, who need these quantitative data and tools to build and assess simulations; (B) makers of protective equipment, who need data to rationally design helmets and sensors; and (C) clinicians and TBI researchers, who need data to understand injury mechanisms, design relevant animal studies, and improve therapies. We propose three tasks: Task 1: Measure brain deformation by MRE during harmonic skull motion of different directions and frequencies; Task 2: Measure brain deformation by tagged MRI during impulsive skull motion of different directions/durations; Task 3: Develop and demonstrate data-driven tools to improve computer models of 3D brain deformation. MR-based measurements will be performed in male and female subjects of different ages to illuminate the effects of gender and age on the brain’s mechanical vulnerability. Successful completion of these tasks will provide: (i) new quantitative data that captures age/sex differences in brain mechanics using harmonic motion in a robust and accessible imaging modality (MRE), (ii) new data to quantify brain deformation under mild impulsive loading, and (iii) new capability to accurately simulate brain deformation, and to evaluate and interpret model predictions. This partnership involves researchers with distinct expertise and capabilities at four sites. Washington University; the Henry Jackson Foundation; Johns Hopkins University; and the University of Delaware. The team will use novel pulse sequences to efficiently perform 3D MRE at multiple excitation frequencies and directions, and will apply new analysis methods to find natural frequencies and modes of brain motion from tagged MRI. The unprecedented data from this project, relating brain deformation to skull motion in subjects of different age and sex, will be exploited to provide a new framework for modeling the effects of chronic impact on the brain.

项目摘要：该生物工程研究合作伙伴关系 (BRP) 将提供全面的 测量由头骨引起的不同年龄男性和女性大脑的 3D 变形 不同类型、方向和频率内容的运动。然后我们将开发使用这些数据的方法 建立和评估创伤性脑损伤 (TBI) 和慢性创伤性脑病 (CTE) 的计算机模型。 这些数据和利用它们的方法将使下一代计算机模型能够预测慢性疾病 重复头部撞击的影响。因此，我们将解决对数据和数据驱动方法未满足的需求 指导和评估脑损伤的计算机模型。我们现在可以测量整个 3D 变形 由 (i) 颅骨和谐运动（使用 MR 弹性成像、MRE）和 (ii) 脉冲线性和角度引起的大脑 颅骨加速（使用标记的 MRI）。这些测量可以量化机械脆弱性 大脑，这对于三类最终用户来说具有很大的价值：（A）计算机模型的开发人员，他们需要 这些定量数据和工具用于构建和评估模拟； (B) 防护用品制造商，需要 合理设计头盔和传感器的数据； (C) 临床医生和 TBI 研究人员，他们需要数据来 了解损伤机制，设计相关的动物研究，并改进治疗方法。我们提出三项任务： 任务1：通过MRE测量不同方向和频率的和谐颅骨运动期间的大脑变形； 任务2：通过标记MRI测量不同方向/持续时间的脉冲颅骨运动期间的大脑变形； 任务 3：开发并演示数据驱动工具，以改进 3D 大脑变形的计算机模型。 将对不同年龄的男性和女性受试者进行基于 MR 的测量，以阐明效果 性别和年龄对大脑机械脆弱性的影响。成功完成这些任务将提供：（i） 新的定量数据，利用谐波运动以稳健的方式捕获大脑力学中的年龄/性别差异 和可访问的成像模式（MRE），（ii）量化轻度脉冲负载下大脑变形的新数据， (iii) 准确模拟大脑变形、评估和解释模型预测的新能力。 此次合作涉及四个地点具有独特专业知识和能力的研究人员。华盛顿大学； 亨利·杰克逊基金会；约翰·霍普金斯大学；和特拉华大学。该团队将使用 新颖的脉冲序列可在多个激励频率和方向上高效执行 3D MRE，并且将 应用新的分析方法从标记的 MRI 中查找大脑运动的自然频率和模式。这 该项目提供了前所未有的数据，将不同年龄和不同年龄的受试者的大脑变形与头骨运动联系起来。 性别，将被用来提供一个新的框架来模拟长期影响对大脑的影响。