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相关概念视频

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

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Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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扩展点云统计形状模型应用:用于人口级血液动力学模拟的通用血管模型.

Yao Zeng1, Zheng Sun1, Mengfei Wang2

  • 1Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, PR China

Computer methods and programs in biomedicine
|July 1, 2025
PubMed
概括

使用统计形状建模和聚类的新工作流改善了大群体的血液动力学模拟. 这种方法提高了分析血管几何形状和血液流动模式的准确性和效率.

关键词:
集群的意思是,集群的意思是,集群的意思是,集群的意思是.计算流体动力学 计算流体动力学血液动力学 血液动力学点云, 统计形状模型.

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科学领域:

  • 生物医学工程 生物医学工程
  • 计算流体动力学的流体动力学.
  • 医疗成像医学成像

背景情况:

  • 人口规模的血液动力学研究受到患者特定模型的计算成本和圆柱形模型过度简化的限制.
  • 提出了一个新的Tier-2工作流程,通过将点云统计形状建模 (Pcd-SSM) 与HDBSCAN集群集成来解决这些局限性.
  • 这种方法旨在有效地描述复杂的内动脉 (ICA) 几何形状,并分析相关的血液流动模式.

研究的目的:

  • 开发和验证一个有效的计算框架,用于人口规模的血液动力学分析.
  • 为了准确地描述血管形态,并预测大队伍中的血液流动动力学.
  • 提高对正常和狭窄动脉段的血液动力学理解.

主要方法:

  • 利用了来自229个ICA的飞行时间磁共振血管学 (TOF-MRA) 数据.
  • 使用Point2SSM和应用主要组件分析 (PCA) 将TOF-MRA数据转换为点云对应.
  • 使用无监督集群 (HDBSCAN) 和使用稳定,非牛顿计算流体动力学 (CFD) 模拟的验证模型.

主要成果:

  • 在准确度 (77-95%的错误减少) 和效率 (大约. 在大型队列中进行血液动力学模拟时,计算成本减少了65倍).
  • 在狭窄的动脉段中成功捕获了大约91%的速度增加和51%的压力下降.
  • 准确地确定了患病动脉段的高壁剪切应力分布.

结论:

  • 由深度学习Pcd-SSM驱动的开发的"层级和集群"框架,为分析血管形态和血液流动提供了统一和可转移的方法.
  • 这种方法为人口水平的血液流量研究,风险分层,病理机制探索和血管狭窄的干预计划提供了强大的工具.