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SpinFlowSim:一种血液流动模拟框架,用于在癌症中绘制组织学信息的扩散MRI微血管图谱

Anna Kira Voronova¹, Athanasios Grigoriou¹, Kinga Bernatowicz²

¹Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain; Department of Biomedicine, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.

Medical image analysis

|March 12, 2025

概括

一个新的模拟器SpinFlowSim,从微血管中的血流中产生现实的扩散MRI信号. 该工具有助于开发用于癌症成像和治疗评估的先进dMRI方法.

科学领域:

生物医学工程生物医学工程
医学成像物理医学成像物理

背景情况:

扩散磁共振成像 (dMRI) 测量旋转运动,包括布朗扩散和毛细血管血流 (声内不连贯运动,IVIM).
目前的IVIM指标 (fV,D*) 是依赖于协议的,并且由于未知的流动模式,缺乏明确的解释,限制了临床效用.
需要先进的dMRI模型来量化毛细血管血液流动 in vivo,这对于评估抗血管性癌症疗法等应用至关重要.

研究的目的:

介绍SpinFlowSim,这是一个开源模拟器,用于从毛细血管网络中的血液流动中生成现实的dMRI信号.
为了使新的dMRI模型在体内微血管表征的发展.
为了便于计算毛细血管流动的生物学意义上的标记物,用于临床应用,特别是瘤学.

主要方法:

开发了SpinFlowSim,这是一款针对毛细血管中的层状流量量身定制的模拟器,可以从组织学网络重建中合成dMRI信号.
为15个肝脏活检衍生网络 (癌症和非癌症) 生成合成dMRI信号.
设计了一种微血管特性映射策略,使用合成信号来量化血液速度分布时刻和网络分支指数.

主要成果:

合成信号表现出复杂的,非单指数的行为,反映出不同的流动模式和扩散时间依赖,与体内模式一致.
在血流速度时刻和网络分支指数的in silico估计中证明成功.
通过在健康志愿者和癌症患者体内估计这些参数来验证该方法.

结论:

像SpinFlowSim这样的逼真的微血管流动模拟对于推进dMRI方法至关重要.
SpinFlowSim促进了下一代dMRI的开发,用于微血管映射.
这项技术具有改善癌症评估和监测治疗反应的直接潜力.

关键词:

癌症癌症癌症癌症毛细血管的流量流动.扩散式核磁共振成像 (MRI)微血管系统是一个微血管系统.

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