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Computational blood flow modelling: errors associated with reconstructing finite element models from magnetic
J A Moore1, D A Steinman, C R Ethier
1Department of Mechanical and Industrial Engineering, University of Toronto, Ontario, Canada.
Journal of Biomechanics
|May 21, 1998
Summary
Computational blood flow models from magnetic resonance (MR) scans can be inaccurate. A simple smoothing technique significantly reduced errors in these arterial models, improving accuracy for hemodynamic studies.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Computational Fluid Dynamics
Background:
- Computational blood flow models derived from magnetic resonance (MR) scans are valuable for studying arterial hemodynamics.
- Accurate modeling is crucial for understanding blood flow dynamics in arteries.
Purpose of the Study:
- To experimentally determine the lower bound of errors in computational blood flow models constructed from MR scans.
- To present techniques for minimizing these errors.
Main Methods:
- A simple cylindrical tube geometry was imaged using a commercial MR scanner.
- Finite element flow models were constructed from the MR images.
- Computed wall-shear stresses were compared to known values.
Main Results:
- Peak errors of 40-60% were observed in computed wall-shear stresses.
- Errors were attributed to limited spatial resolution, image segmentation, and model construction.
- A simple smoothing technique significantly reduced these peak errors.
Conclusions:
- Smoothing is essential for constructing accurate arterial models from in vivo MR images.
- MR-based computational models can achieve acceptable accuracy for realistic arterial geometries when used appropriately.