Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade

Computational fluid dynamics (CFD) simulations are increasingly utilised to evaluate intracranial aneurysm (IA) haemodynamics to aid in the prediction of morphological changes and rupture risk. However, these models vary and differences in published results warrant the investigation of IA-CFD reproducibility.

This data set supports the study that aimed to explore sources of intra-team variability and determine its impact on the aneurysm morphology and CFD parameters. A team of four operators were given six sets of magnetic resonance angiography data spanning a decade from one patient with a middle cerebral aneurysm. All operators were given the same protocol and software for model reconstruction and numerical analysis. The morphology and haemodynamics of the operator models were then compared.

This is data collected for the morphology and haemodynamics at systole of the patient-specific aneurysm at 6-time points for all 4 operators in this study. Patient imaging data (MRI or CT scans) were not provided due to ethics obligations.

计算流体动力学（CFD）模拟在评估颅内动脉瘤（IA）的血流动力学方面日益得到应用，以辅助预测形态学变化和破裂风险。然而，这些模型存在差异，且已发表结果中的差异要求对IA-CFD的可重复性进行研究。本数据集支持旨在探究团队内部变异性来源并确定其对动脉瘤形态和CFD参数影响的研究。一支由四位操作员组成的团队被给予了来自一位患有大脑中动脉瘤的患者的十年间六套磁共振血管造影数据。所有操作员均接受了相同的模型重建和数值分析软件协议。随后，比较了操作员模型的形态学和血流动力学。这是针对本研究中四位操作员在6个时间点的患者特异性动脉瘤的收缩期形态学和血流动力学收集的数据。由于伦理义务，未提供患者成像数据（MRI或CT扫描）。