GEPARD – Vessel Wall Simulation and Visualization for Patient-Specific Blood Flow Prediction for Intracranial Aneurysm Modeling

GEPARD â 血管壁模拟和可视化，用于颅内动脉瘤建模的患者特定血流预测

• 批准号: 399581926
• 负责人: Privatdozent Dr.-Ing. Philipp Berg, Ph.D.
• 金额: --
• 依托单位: Lehrstuhl Strömungsmechanik und Strömungstechnik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/399581926?language=en
• 关键词: GEPARD; Vessel; Wall; Simulation; Visualization

Intracranial aneurysms are pathologic dilations of human brain vessels. They may cause a rupture leading to death or irreversible disabilities. Therefore, computer-assisted, numerical methods are developed and applied to assess the patient-specific rupture risk as well as to support the treatment planning of the clinician. At the moment, only the aneurysm lumen is evaluated. Since the rupture often depends on inflammations of the intracranial vessel wall, current simulation and computer-supported evaluation approaches have to integrate the wall. This project promotes the integration of intracranial vessel wall information and extravascular structures such that clinical information about the rupture risk can be extracted. The project pursues three objectives:1) Extraction of patient-specific vessel wall thicknesses via segmentation of ex-vivo acquired optical coherence tomography data for the fluid-structure interaction of simulated blood flow and cerebral artery wall2) Differentiation of individual vessel wall layers and specific vessel wall pathologies to conduct mechanical measurements to formulate material laws and to allow complex, interactive visualizations of fluid-structure simulations3) Integration of extravascular structures into the visualization and simulation of vessel-surrounding areas for the computer-assisted evaluation of aneurysm growth and movementThe implementation of the stated subgoals leads to the overall objective to support treating physicians in their patient-individual therapy planning. The resulting system allows for a realistic and reliable blood flow prediction with especially adapted visualization techniques. It provides the medical user with the newly extracted information defined in the proposal and thus considerably improves the evaluation of intracranial aneurysms.

颅内动脉瘤是人类脑血管的病理性扩张。它们可能导致破裂，导致死亡或不可逆转的残疾。因此，计算机辅助，数值方法的开发和应用，以评估患者的具体破裂的风险，以及支持临床医生的治疗计划。目前，仅评价动脉瘤管腔。由于破裂通常取决于颅内血管壁的炎症，因此当前的模拟和计算机支持的评估方法必须整合血管壁。该项目促进了颅内血管壁信息和血管外结构的整合，从而可以提取有关破裂风险的临床信息。该项目追求三个目标：1）通过对模拟血流和脑动脉壁的流体-结构相互作用的离体获取的光学相干断层扫描数据进行分割，提取患者特定的血管壁厚度2）区分单个血管壁层和特定血管壁病理，以进行机械测量制定材料定律并允许复杂的，流体-结构模拟的交互式可视化3）将血管外结构集成到计算机的血管周围区域的可视化和模拟中-动脉瘤生长和运动的辅助评估所述子目标的实施导致了支持治疗医生制定患者个体治疗计划的总体目标。由此产生的系统允许一个现实的和可靠的血流预测，特别是适应可视化技术。它为医疗用户提供了提案中定义的新提取信息，从而大大改善了颅内动脉瘤的评价。