A vascular tree topology inspired platform to compute intracranial blood flow (tree CFD)

受血管树拓扑启发的计算颅内血流量的平台（树 CFD）

• 批准号: 9388198
• 负责人: Ali Alaraj
• 金额: $ 23.04万
• 依托单位: UNIVERSITY OF ILLINOIS AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2019-07-01
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9388198
• 关键词: Address; Agreement; Anatomy; Aneurysm; Angiography; Angioplasty; Benefits and Risks; Blood Circulation; Blood Pressure; Blood Vessels; Blood flow; Brain; Caliber; Cerebrovascular Circulation; Cerebrovascular Disorders; Cerebrovascular system; Cerebrum; Clinic; Clinical; Communities; Computer Hardware; Computers; Data; Data Collection; Devices; Disease; Equation; Generations; Hemorrhage; Hour; Image; Infarction; Intervention; Liquid substance; Magnetic Resonance; Measurement; Measures; Medical Imaging; Methods; Mission; Modeling; National Institute of Neurological Disorders and Stroke; Operative Surgical Procedures; Outcome; Patients; Pattern; Postoperative Period; Problem Formulations; Procedures; Process; Public Health; Research; Research Methodology; Residual state; Resolution; Risk; Risk Factors; Site; Speed; Stenosis; Stents; Surgeon; Techniques; Technology; Testing; Time; Treatment outcome; Trees; Validation; Venous; Work; base; blood flow measurement; cerebral hemodynamics; cerebrovascular; density; design; healthy volunteer; hemodynamics; improved; in vivo; indexing; individual patient; innovation; insight; interest; neurovascular; novel; novel therapeutics; performance tests; prospective; prototype; reconstruction; remediation; shear stress; simulation

Summary. There is a growing interest in the neurosurgical community to assess hemodynamic risk factors that either remain or are eliminated after surgery that cannot be measured in vivo, but can be computed. Current CFD simulations merely address short segments, but are unable compute blood flow throughout the entire vascular tree. There is an unaddressed need to compute hemodynamic risk factors before and after endovascular interventions throughout the entire cerebral circulation. Whole-brain CFD flow simulation has not been accomplished before because of two unsolved problems. Problem 1. Current blood vessel segmentation methods would require weeks to reconstruct the entire vascular tree from angiography, which is clinically impractical. Problem 2. Even if the computational meshes could be constructed for the entire arterial tree, existing computers require excessive CPU time to solve the many embedded equations. These two problems are now solved by two innovations: Innovation 1. A new vessel segmentation pipeline largely automates the vessel reconstruction process and problem formulation. Segmentation with our current (not yet optimized) workflow takes less than 1 hour. Innovation 2. An image-based mesh generation technique generates a computer representation of the entire arterial tree from medical images with little or no need for technician intervention. The parametric mesh conforms to vessel centerlines to generate flow-dominated meshes. This enables the fast and reliable computation of hemodynamic metrics at a fraction of the mesh resolution needed in unstructured grids. Our preliminary work demonstrates that automatic tree segmentation and dynamic 3D CFD simulation of the entire arterial tree is attainable with regular desktop computer hardware. Because vascular modeling in TreeCFD is based on non-invasive magnetic resonance methods, testing of TreeCFD can be performed with both healthy volunteers and patients and will be achieved in two aims: AIM 1. (With healthy volunteers) Test the performance of the automated platform for whole-tree cerebral hemodynamics with microcirculatory closure. Validate accuracy of vascular reconstruction and flow quantification. AIM 2. (With stenosis patients.) Use TreeCFD to characterize the cerebral blood flow patterns before and after endovascular interventions and compare changes in all major hemodynamic indices of disturbed blood flow. Benefits. Availability of automated (real time) CFD simulations will provide surgeons with indicators for potential benefits and risks associated with endovascular procedures for individual patients. Tighter integration of imaging, endovascular interventions, and rigorous hemodynamic analysis will also eliminate barriers between surgeons and biomedical device designers aiming for better outcomes for cerebrovascular diseases.

摘要神经外科界对评估血流动力学风险因素的兴趣越来越大， 在手术后保留或消除，这些不能在体内测量，但可以计算。电流 CFD模拟仅处理短段，但无法计算整个血流 维管树有一个未解决的需要，计算血流动力学风险因素前后 在整个脑循环中进行血管内介入。全脑CFD流动模拟还没有 这是因为两个尚未解决的问题。 问题1.目前的血管分割方法需要数周的时间来重建整个血管。 从血管造影术中提取血管树，这在临床上是不切实际的。 问题2.即使可以为整个动脉树构建计算网格，现有的 计算机需要过多的CPU时间来求解许多嵌入式方程。 这两个问题现在通过两项创新得到解决： 创新1.新的血管分割管道在很大程度上自动化了血管重建过程 和问题表述。使用我们当前（尚未优化）的工作流程进行分割所需时间不到1小时。 创新2.一种基于图像的网格生成技术， 从医学图像中提取整个动脉树，几乎不需要或不需要技术人员干预。参数网格 符合血管中心线以生成流动主导的网格。这使得快速和可靠的 在非结构化网格中所需的网格分辨率的一小部分上计算血液动力学指标。 我们的初步工作表明，自动树木分割和动态三维CFD模拟， 整个动脉树可以用常规的台式计算机硬件获得。因为血管建模在 TreeCFD基于非侵入性磁共振方法，可以使用 健康志愿者和患者，并将实现两个目标：目的1。(With健康志愿者）测试 微循环全树脑血流动力学自动化平台的性能 结束保证血管重建和血流定量的准确性。AIM 2. (With狭窄患者）。 使用TreeCFD表征血管内介入治疗前后的脑血流模式， 比较受干扰血流的所有主要血流动力学指标的变化。 效益自动（真实的时间）CFD模拟的可用性将为外科医生提供以下指标： 个体患者与血管内手术相关的潜在受益和风险。更紧密的集成 成像、血管内介入和严格的血流动力学分析也将消除障碍 外科医生和生物医学设备设计者之间的合作，旨在改善脑血管疾病的结果。