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基于超声波的计算流体动力学分析,在健康和狭窄的条件下分析动脉血动力学

Lotte Piek^1,2, Milan Gillissen^1,2, Joerik de Ruijter¹

¹Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

Computer methods in biomechanics and biomedical engineering

|February 2, 2026

概括

这项研究引入了一种基于超声波的计算流体动力学 (CFD) 方法,用于个性化的动脉风险评估. 该框架绘制出血动力学因素的地图,揭示了超越狭窄度的中风风险的潜在新诊断标志物.

科学领域:

生物医学工程生物医学工程
心血管成像 - 心血管成像
计算流体动力学的流体动力学.

背景情况:

动脉样硬化显著增加中风风险.
目前的风险评估依赖于狭窄程度,这是个体脆弱性的不充分预测指标.
需要新的方法来准确地对患者进行特定风险分层.

研究的目的:

开发和验证基于超声波的计算流体动力学 (CFD) 框架,用于针对患者的动脉血液动力学评估.
识别和可视化除了简单的狭窄测量之外的血液动力学风险因素.
探索新型血液动力学参数的诊断潜力,例如螺旋性.

主要方法:

从跟踪的2D超声波数据和自动细分中重建患者特有的动脉几何形状.
运用计算流体动力学 (CFD) 模拟来量化血液动力学参数.
血液动力学风险图的可视化,包括时间平均壁切削应力 (TAWSS),振荡切削指数 (OSI),相对停留时间 (RRT) 和螺旋性.

主要成果:

开发的CFD框架成功生成了针对患者的血液动力学风险地图.
健康的动脉在分叉附近显示局部血液动力学风险.
严重狭窄的动脉表现出广泛的流动模式和明显改变的螺旋性.

结论:

超声驱动的CFD是个性化血液动力学风险映射在动脉的一个可行的方法.
螺旋性模式显示出作为评估中风风险的新型诊断标记物的希望.
这种方法为传统的基于狭窄的风险评估提供了更准确的替代方案.

关键词:

Carotid 动脉疾病动脉疾病计算流体动力学的流体动力学.在自由的手中自由奔放.个性化模型个性化模型超声波超声波是指超声波的使用.

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