CDT in Fluid Dynamics, School of Computing, University of Leeds, Leeds, LS2 9JT, UK.
School of Engineering and the Built Environment, Birmingham City University, Birmingham, B4 7XG, UK.
Sci Rep. 2022 Sep 6;12(1):15128. doi: 10.1038/s41598-022-19347-6.
Magnetic Resonance Imaging (MRI) is considered the gold standard of medical imaging technologies as it allows for accurate imaging of blood vessels. 4-Dimensional Flow Magnetic Resonance Imaging (4D-Flow MRI) is built on conventional MRI, and provides flow data in the three vector directions and a time resolved magnitude data set. As such it can be used to retrospectively calculate haemodynamic parameters of interest, such as Wall Shear Stress (WSS). However, multiple studies have indicated that a significant limitation of the imaging technique is the spatiotemporal resolution that is currently available. Recent advances have proposed and successfully integrated 4D-Flow MRI imaging techniques with Computational Fluid Dynamics (CFD) to produce patient-specific simulations that have the potential to aid in treatments,surgical decision making, and risk stratification. However, the consequences of using insufficient 4D-Flow MRI spatial resolutions on any patient-specific CFD simulations is currently unclear, despite being a recognised limitation. The research presented in this study aims to quantify the inaccuracies in patient-specific 4D-Flow MRI based CFD simulations that can be attributed to insufficient spatial resolutions when acquiring 4D-Flow MRI data. For this research, a patient has undergone four 4D-Flow MRI scans acquired at various isotropic spatial resolutions and patient-specific CFD simulations have subsequently been run using geometry and velocity data produced from each scan. It was found that compared to CFD simulations based on a [Formula: see text], using a spatial resolution of [Formula: see text] substantially underestimated the maximum velocity magnitude at peak systole by [Formula: see text]. The impacts of 4D-Flow MRI spatial resolution on WSS calculated from CFD simulations have been investigated and it has been shown that WSS is underestimated in CFD simulations that are based on a coarse 4D-Flow MRI spatial resolution. The authors have concluded that a minimum 4D-Flow MRI spatial resolution of [Formula: see text] must be used when acquiring 4D-Flow MRI data to perform patient-specific CFD simulations. A coarser spatial resolution will produce substantial differences within the flow field and geometry.
磁共振成像(MRI)被认为是医学成像技术的金标准,因为它可以准确地对血管成像。四维血流磁共振成像(4D-Flow MRI)建立在常规 MRI 的基础上,提供三个向量方向的流动数据和时间分辨的幅度数据集。因此,它可以用于回顾性计算感兴趣的血流动力学参数,例如壁面切应力(WSS)。然而,多项研究表明,该成像技术的一个显著限制是当前可用的时空分辨率。最近的进展提出并成功地将 4D-Flow MRI 成像技术与计算流体动力学(CFD)集成,以生成具有潜在辅助治疗、手术决策和风险分层能力的患者特定模拟。然而,尽管这是公认的限制,但目前尚不清楚在获取 4D-Flow MRI 数据时使用不足的 4D-Flow MRI 空间分辨率对任何患者特定 CFD 模拟的后果。本研究旨在量化在获取 4D-Flow MRI 数据时,由于空间分辨率不足而导致基于患者特定 4D-Flow MRI 的 CFD 模拟的不准确性。为此,对一名患者进行了四次在不同各向同性空间分辨率下采集的 4D-Flow MRI 扫描,随后使用来自每个扫描的几何形状和速度数据运行了患者特定的 CFD 模拟。结果发现,与基于[Formula: see text]的 CFD 模拟相比,使用[Formula: see text]的空间分辨率在收缩期峰值时大大低估了最大速度幅度,相差[Formula: see text]。研究人员还研究了 4D-Flow MRI 空间分辨率对 CFD 模拟中计算的 WSS 的影响,结果表明,在基于粗糙的 4D-Flow MRI 空间分辨率的 CFD 模拟中,WSS 被低估了。作者得出结论,在获取 4D-Flow MRI 数据时,必须使用至少[Formula: see text]的 4D-Flow MRI 空间分辨率来执行患者特定的 CFD 模拟。更粗糙的空间分辨率将在流场和几何形状中产生显著差异。