Key result
Semi-automatic ITK-SNAP segmentation improves 4D flow MRI carotid visualization with close CFD velocity agreement.
Why the study?
Assessment of carotid bulb hemodynamics using 4D flow MRI requires accurate segmentation of recirculation regions, which is frequently hampered by limited resolution.
Does semi-automatic segmentation using ITK-SNAP improve the accuracy of blood flow visualization and velocity measurements of recirculation regions at the carotid bulb in 4D flow MRI compared to standard analysis and CFD?
Observational (n=7)
No
Does semi-automatic segmentation using ITK-SNAP improve the accuracy of blood flow visualization and velocity measurements of recirculation regions at the carotid bulb in 4D flow MRI compared to standard analysis and CFD?
Integrating semi-automatic segmentation tools like ITK-SNAP with 4D flow MRI enhances the capability to visualize and measure complex recirculation hemodynamics at the carotid bulb, offering a more accurate alternative to standard MRI processing.
May enhance research 4D flow MRI of carotid recirculation; leaves open clinical adoption pending patient validation.
Assessment of carotid bulb hemodynamics using four-dimensional (4D) flow magnetic resonance imaging (MRI) requires accurate segmentation of recirculation regions that is frequently hampered by limited resolution. This study aims to improve the accuracy of 4D flow MRI carotid bulb segmentation and subsequent recirculation regions analysis. Time-of-flight (TOF) MRI and 4D flow MRI were performed on bilateral carotid artery bifurcations in seven healthy volunteers. TOF-MRI data was segmented into 3D geometry for computational fluid dynamics (CFD) simulations. ITK-SNAP segmentation software was included in the workflow for the semi-automatic generation of 4D flow MRI angiographic data. This study compared the velocities calculated at the carotid bifurcations and the 3D blood flow visualization at the carotid bulbs obtained by 4D flow MRI and CFD. By applying ITK-SNAP segmentation software, an obvious improvement in the 4D flow MRI visualization of the recirculation regions was observed. The 4D flow MRI images of the recirculation flow characteristics of the carotid artery bulbs coincided with the CFD. A reasonable agreement was found in terms of velocity calculated at the carotid bifurcation between CFD and 4D flow MRI. However, the dispersion of velocity data points relative to the local errors of measurement in 4D flow MRI remains. Our proposed strategy showed the feasibility of improving recirculation regions segmentation and the potential for reliable blood flow visualization in 4D flow MRI. However, quantitative analysis of recirculation regions in 4D flow MRI with ITK-SNAP should be enhanced for use in clinical situations.
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Ngo et al. (2021) conducted an observational in Healthy (carotid hemodynamics assessment) (n=7). 4D flow MRI with ITK-SNAP semi-automatic segmentation vs. Standard 4D flow MRI (without ITK-SNAP) and Computational Fluid Dynamics (CFD) was evaluated on Blood flow velocity calculated at the carotid bifurcations and 3D blood flow visualization at the carotid bulbs. Applying ITK-SNAP semi-automatic segmentation to 4D flow MRI improved the visualization of carotid bulb recirculation regions and achieved a reasonable agreement in velocity measurements with ground-truth computational fluid dynamics (95% limits of agreement range from -0.095 to 0.060 m/s).
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