Assessment of the accuracy of MRI wall shear stress estimation using numerical simulations |
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Authors: | Petersson Sven Dyverfeldt Petter Ebbers Tino |
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Affiliation: | 1. Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Link?ping University, Link?ping, Sweden;2. Center for Medical Image Science and Visualization (CMIV), Link?ping University, Link?ping, Sweden;3. Division of Applied Thermodynamics and Fluid Mechanics, Department of Management and Engineering, Link?ping University, Link?ping, Sweden;4. Department of Radiology, University of California San Francisco, San Francisco, California, USA |
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Abstract: | Purpose: To investigate the accuracy of wall shear stress (WSS) estimation using MRI. Specifically, to investigate the impact of different parameters and if MRI WSS estimates are monotonically related to actual WSS. Materials and Methods: The accuracy of WSS estimation using methods based on phase‐contrast (PC) MRI velocity mapping, Fourier velocity encoding (FVE) and intravoxel velocity standard deviation mapping were studied using numerical simulations. The influence of spatial resolution, velocity encoding, wall segmentation, and voxel location were investigated over a range of WSS values. Results: WSS estimates were found to be sensitive to parameter settings in general and spatial resolution in particular. All methods underestimated WSS, except for the FVE‐based method, which instead was extremely sensitive to voxel position relative to the wall. Methods using PC‐based WSS estimation with wall segmentation showed to be accurate for low WSS, but were sensitive to segmentation errors. Conclusion: Even in the absence of noise and for relatively simple velocity profiles, MRI WSS estimates cannot always be assumed to be linearly or even monotonically related to actual WSS. High WSS values cannot be resolved and the estimates depend on parameter setting. Nevertheless, distinguishing areas of low and moderate WSS may be feasible. J. Magn. Reson. Imaging 2012;36:128–138. © 2012 Wiley Periodicals, Inc. |
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Keywords: | wall shear stress phase contrast magnetic resonance imaging atherosclerosis hemodynamics Fourier velocity encoding numerical simulations |
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