MRI-based CFD simulations of transient blood flow in compliant aortas using the LDDMM framework

Traditional CFD analyses often rely on static (rigid) vascular geometries, which neglect the physiologically relevant motion of the aortic wall. This simplification can lead to inaccuracies in estimating key hemodynamic biomarkers, such as wall shear stress (WSS) and oscillatory shear index (OSI). This study introduces the Large Deformation Diffeomorphic Metric Mapping (LDDMM) method to enable computationally efficient simulations of transient blood flow in compliant, subject- and patient-specific aortas derived from 4D Flow MRI data. The proposed framework simplifies CFD pre-processing, improves morphing accuracy, and enables physiologically realistic motion of the thoracic aorta, including its side-branches. The method was applied to two aortic geometries: a healthy case (HC) and a case with thoracic aortic aneurysm (TAA) located in the ascending region. The results were compared with those obtained from fixed aortic geometries extracted at peak systole. Hemodynamic biomarkers showed significant differences between static and moving geometries. For the healthy case (HC), the differences were 18% for the time-averaged wall shear stress (TAWSS) and 46% for the oscillatory shear index (OSI). For the thoracic aorta aneurysm (TAA) case, the corresponding values were 14% and 47%, respectively. These findings highlight the importance of incorporating aortic wall motion in hemodynamic simulations. The developed LDDMM-based framework can be readily extended to other imaging modalities, such as ultrasound or computed tomography, and is recommended for future CFD analyses of compliant aortas. • Introduced a computationally efficient CFD framework using Large Deformation Diffeomorphic Metric Mapping (LDDMM) to model transient blood flow in moving, patient-specific aortas. • Integrated 4D Flow MRI data to capture physiologically realistic aortic wall motion, including side-branch deformations. • Demonstrated significant deviations between rigid and compliant simulations — up to 18%–46% in WSS- and OSI-related metrics for healthy case. • Showed that aneurysmal aortic models exhibit similar sensitivity to wall motion, with 14%–47% biomarker differences relative to static geometry. • Proposed a flexible framework extendable to ultrasound and CT imaging, enhancing future CFD studies of compliant vascular systems.