Cerebral aneurysms develop in about 4 % of western populations and involve the risk of rupture. Blood flow patterns are of interest for understanding the pathogenesis of the lesions for a specific patient. Velocity mapping with phase-contrast magnetic resonance angiography (PC-MRA) is a non-invasive method for in vivo measurements on blood velocity. Based on these, a realistic patient-specific computer model can be generated and the flow field with all hemodynamic parameters can be simulated. As the accuracy of the PC-MRA data and subsequent modeling must be validated, a realistic flow field in a silicone phantom was investigated. Velocities were acquired under equal conditions with PC-MRA, laser Doppler velocimetry (LDV) and computational fluid dynamics (CFD). The results showed that PC-MRA was qualitatively, but not quantitatively, similar to LDV and CFD in straight arteries, while the accuracy of PC-MRA decreased in regions with complex flow patterns as present in aneurysms. Thus, it is appropriate to use PC-MRA as inlet conditions for CFD to calculate hemodynamic parameters in aneurysms, rather than to derive them directly from the measurements.
Cerebral aneurysms develop in about 4 % of western populations and involve the risk of rupture. Blood flow patterns are of interest for understanding the pathogenesis of the lesions for a specific patient. Velocity mapping with phase-contrast magnetic resonance angiography (PC-MRA) is a non-invasive method for in vivo measurements on blood velocity. Based on these, a realistic patient-specific computer model can be generated and the flow field with all hemodynamic parameters can be simulated. As the accuracy of the PC-MRA data and subsequent modeling must be validated, a realistic flow field in a silicone phantom was investigated. Velocities were acquired under equal conditions with PC-MRA, laser Doppler velocimetry (LDV) and computational fluid dynamics (CFD). The results showed that PC-MRA was qualitatively, but not quantitatively, similar to LDV and CFD in straight arteries, while the accuracy of PC-MRA decreased in regions with complex flow patterns as present in aneurysms. Thus, it is appropriate to use PC-MRA as inlet conditions for CFD to calculate hemodynamic parameters in aneurysms, rather than to derive them directly from the measurements.
The objective of this reprint is to offer readers the most up-to-date insights into managing both ruptured and unruptured cerebral aneurysms. Despite recent advancements in diagnosing and treating...
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