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一个基于图像的计算框架,用高分辨率的磁共振成像来评估动脉组织的材料刚度

Y F Jack Wang^1,2, Jacopo Ferruzzi^3,4, Stewart Yeoh⁵

¹Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843; Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112; 2121 West Holcombe Boulevard, Alkek Building, Room 503, Houston, TX 77030.

Journal of biomechanical engineering

|July 22, 2025

概括

这项研究开发了一种新的磁共振成像 (MRI) 框架,用于评估动脉组织硬度. 该方法准确量化材料特性,有助于动脉样硬化病变的风险分层.

科学领域:

生物医学工程生物医学工程
心血管研究研究心血管研究
医疗成像医学成像

背景情况:

动脉硬性斑块破裂是急性冠状动脉综合征的主要原因.
对动脉材料刚性的准确表征对于风险分层病变至关重要.
现有的在体内评估动脉硬性的方法是有限的.

研究的目的:

开发和验证一种基于磁共振 (MR) 图像的新型计算框架,用于评估血管组织材料刚度.
评估使用该框架进行动脉样硬化斑块的非侵入性风险分层的可行性.

主要方法:

开发了一个计算框架,将MRI成像与超弹性曲折和逆参数估计集成在一起.
将框架应用于接受双轴机械测试的猪动脉.
通过将MR衍生硬度值与实验测量值进行比较,验证了框架.

主要成果:

基于MR的框架准确地估计了动脉组织的材料刚度 (接触模块).
扭曲导向的反向建模在样品中发现了材料刚度的微妙变化.
该框架证明了负载条件对动脉组织特性的影响.

结论:

开发的基于MR图像的计算框架是一种强大而创新的方法,用于表征动脉组织的非线性,超弹性行为.
该方法允许从图像数据直接量化材料刚度,为改善动脉样硬化病变风险分层提供潜力.

关键词:

这就是为什么MRI是MRI.可变形图像的注册变形图像的注册超弹性曲线的变形反向有限元建模的反向有限元建模.血管力学血管力学

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