一个基于队列的平均腹腔大动脉动脉瘤的血管流幻象:设计,制造和表征
H Mirgolbabaee1,2, J R Nagel1,2, J Plomp1,2
1Multi-Modality Medical Imaging (M3I) Group, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Annals of biomedical engineering
|April 1, 2025
概括
这项研究提出了一个新的框架,用于创建3D打印的腹腔大动脉动脉瘤 (AAA) 流量幻影. 开发的AAA幻影准确地表示患者解剖学的平均值,并使超声波流量定量.
科学领域:
- 生物医学工程 生物医学工程
- 医疗成像医学成像
- 流体动力学 流体动力学
背景情况:
- 血管流幻象对于体外和体内研究至关重要.
- 目前的幻影设计和制造方法缺乏标准化的报告.
- 腹腔大动脉瘤 (AAA) 需要准确的模型进行研究.
研究的目的:
- 引入一个设计和制造3D可打印,高保真,基于队列的平均腹腔大动脉瘤 (AAA) 幻影的框架.
- 为了验证平均化幻影几何学与患者特定模型的准确性.
- 评估使用制造的幻影用于基于超声波的流场量化的可行性.
主要方法:
- 从50名患者的CT血管图扫描中分割AAA几何形状.
- 开发了一种算法来平均患者特定的几何形状和中心光线线 (CLL).
- 3D打印了使用柔性80A树脂的平均解剖学,并描述了其声学特性.
- 使用超声波粒子成像速度计 (echoPIV) 进行了研究的流场量化.
主要成果:
- 与患者特定模型相比,生成的平均AAA模型显示高的索伦森-迪斯相似系数 (0.916 ± 0.21).
- 灵活的80A树脂表现出合适的声学特性 (声音速度: 1785 m/s,衰减: 7.8 dB/mm).
- 超声粒子成像速度测量 (echoPIV) 成功量化了幻影入口的体积流量概况,匹配了流量传感器数据.
结论:
- 开发的框架允许创建准确的,平均的,基于队列的AAA模型.
- 从平均模型成功制造出一个3D打印的薄壁幻影.
- 该研究证明了使用幻影用于用echoPIV进行定量流量分析的可行性.
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