Measuring arterial material properties using wave-based approaches with ultrasound and computational models

使用基于波的超声方法和计算模型测量动脉材料特性

• 批准号: 10585221
• 负责人: Matthew William Urban
• 金额: $ 70.99万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-01-17 至 2027-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10585221
• 关键词: Acoustics; Address; Arteries; Behavior; Blood Vessels; Brain; Cardiovascular Diseases; Cardiovascular system; Carotid Arteries; Classification; Clinic; Clinical; Complex; Computer Models; Data; Data Analyses; Detection; Development; Elasticity; Engineering; Evaluation; Experimental Designs; Frequencies; Geometry; Goals; Grant; Health; Impaired cognition; Infarction; MRI Scans; Magnetic Resonance Imaging; Measurement; Measures; Mechanics; Medicine; Methodology; Methods; Modeling; Modernization; Morphology; Motion; Noise; Pathologic; Patients; Process; Progress Reports; Property; Publications; Pulsatile Flow; Radiation; Radiology Specialty; Research; Research Project Grants; Role; Signal Transduction; Source; Techniques; Testing; Text; Time; Tissues; Translations; White Matter Hyperintensity; absorption; arterial stiffness; brain health; brain morphology; brain tissue; cardiovascular effects; cerebral atrophy; cohort; data reduction; detection method; disease classification; imaging modality; improved; mathematical model; mechanical properties; multidisciplinary; predictive tools; preservation; temporal measurement; tool; transmission process; ultrasound; vascular factor; viscoelasticity; waveguide

ABSTRACT/SUMMARY Background: Increased arterial stiffness has been associated with indicators of damage to the brain including presence of white matter hyperintensity, infarctions, and brain atrophy as assessed with magnetic resonance imaging (MRI). When vessels lose their ability to mechanically absorb the effects of pulsatile flow, that pulsatility is transmitted to the vasculature in the brain leading to deleterious changes in the brain tissue. Understanding the effect of ultrasound measured viscoelastic mechanical properties of central conduit (e.g., carotid) arteries relative to MRI measured brain health indicators could result in a very important tool for predicting and managing changes in brain function. This research project aims to address these unmet and critical needs to develop techniques for the accurate and translatable ultrasound measurement of viscoelastic arterial mechanical properties and evaluate associations with structural changes in the brain. Methods: Ultrasound is a first-line imaging modality for vascular evaluation, but most clinical scanners do not have the ability to evaluate the elastic or viscoelastic mechanical properties of vessels in an accurate, quantitative manner with high temporal resolution. In the first cycle of this grant, we developed an ultrasound- based method called arterial dispersion ultrasound vibrometry (ADUV) that utilizes acoustic radiation force to stimulate high-frequency (200-1500 Hz) waves in the arterial wall, followed by high frame rate ultrasound to measure the wave motion, which is used to characterize arterial viscoelastic mechanical properties. However, our research revealed that several aspects of ADUV could be further improved before being used on a daily basis in the clinic. Among these improvements are increasing the wave motion signal-to-noise ratio, making precise measurements of the vessel geometry with ultrasound, and improving our inversion and classification frameworks. With these improved ADUV methods, we will evaluate how the viscoelastic properties of the carotid artery are associated with the health of the brain as judged using MRI brain morphology data. With the strong collaborative team including expertise in cardiovascular medicine, radiology, ultrasound engineering, waveguide modeling, inverse problems, data reduction and classification, we will bring ADUV closer to widespread translation with the following Specific Aims: Aim 1) Optimize ADUV to enhance motion measurement quality for more accurate and precise mechanical property estimation. Aim 2) Develop advanced mathematical models for estimation of arterial mechanical properties and classification of disease state. Aim 3) Correlate ADUV measurements of carotid artery viscoelasticity with MRI indicators of brain health in patients.

摘要/总结 背景：动脉僵硬度增加与大脑损伤指标相关，包括 通过磁共振评估是否存在白质高信号、梗塞和脑萎缩 成像（MRI）。当血管失去机械吸收脉动流影响的能力时， 搏动被传递到大脑中的脉管系统，导致脑组织发生有害变化。 了解超声测量的中心导管粘弹性机械特性的影响（例如， 颈动脉）相对于 MRI 测量的大脑健康指标可能会成为一个非常重要的工具 预测和管理大脑功能的变化。该研究项目旨在解决这些未满足和 迫切需要开发精确且可翻译的超声测量技术 粘弹性动脉机械特性并评估与大脑结构变化的关联。 方法：超声是血管评估的一线成像方式，但大多数临床扫描仪不支持 能够准确地评估血管的弹性或粘弹性机械特性 具有高时间分辨率的定量方式。在这笔赠款的第一个周期中，我们开发了一种超声波 基于称为动脉弥散超声振动测量 (ADUV) 的方法，该方法利用声辐射力 刺激动脉壁中的高频（200-1500 Hz）波，然后采用高帧率超声 测量波动，用于表征动脉粘弹性机械特性。 然而，我们的研究表明，ADUV 的几个方面在用于之前还可以进一步改进。 每天在诊所进行。这些改进包括提高波动信噪比， 使用超声波精确测量血管几何形状，并改进我们的反演和 分类框架。通过这些改进的 ADUV 方法，我们将评估粘弹性 根据大脑 MRI 判断，颈动脉的特性与大脑的健康相关 形态数据。凭借强大的协作团队，包括心血管医学、放射学、 超声工程、波导建模、反问题、数据缩减和分类，我们将带来 ADUV 更接近广泛翻译，具体目标如下： 目标 1) 优化 ADUV，提高运动测量质量，更加准确 机械性能估计。 目标 2) 开发先进的数学模型来估计动脉机械特性和 疾病状态的分类。 目标 3) 将颈动脉粘弹性 ADUV 测量值与大脑 MRI 指标相关联 患者的健康。