A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics. (2nd December 2021)
- Record Type:
- Journal Article
- Title:
- A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics. (2nd December 2021)
- Main Title:
- A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics
- Authors:
- Stokes, Catriona
Bonfanti, Mirko
Li, Zeyan
Xiong, Jiang
Chen, Duanduan
Balabani, Stavroula
Díaz-Zuccarini, Vanessa - Abstract:
- Abstract: We present a novel, cost-efficient methodology to simulate aortic haemodynamics in a patient-specific, compliant aorta using an MRI data fusion process. Based on a previously-developed Moving Boundary Method, this technique circumvents the high computational cost and numerous structural modelling assumptions required by traditional Fluid-Structure Interaction techniques. Without the need for Computed Tomography (CT) data, the MRI images required to construct the simulation can be obtained during a single imaging session. Black Blood MR Angiography and 2D Cine-MRI data were used to reconstruct the luminal geometry and calibrate wall movement specifically to each region of the aorta. 4D-Flow MRI and non-invasive pressure measurements informed patient-specific inlet and outlet boundary conditions. Luminal area closely matched 2D Cine-MRI measurements with a mean error of less than 4.6% across the cardiac cycle, while physiological pressure and flow distributions were simulated to within 3.3% of patient-specific targets. Moderate agreement with 4D-Flow MRI velocity data was observed. Despite lower peak velocity, an equivalent rigid-wall simulation predicted a mean Time-Averaged Wall Shear Stress (TAWSS) 13% higher than the compliant simulation. The agreement observed between compliant simulation results and MRI data is testament to the accuracy and efficiency of this MRI-based simulation technique.
- Is Part Of:
- Journal of biomechanics. Volume 129(2021)
- Journal:
- Journal of biomechanics
- Issue:
- Volume 129(2021)
- Issue Display:
- Volume 129, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 129
- Issue:
- 2021
- Issue Sort Value:
- 2021-0129-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-12-02
- Subjects:
- Aorta -- Computational Fluid Dynamics (CFD) -- Fluid Structure Interaction (FSI) -- Patient-specific simulation -- Haemodynamics
Animal mechanics -- Periodicals
Biomechanics -- Periodicals
Biomechanics -- Periodicals
Mécanique animale -- Périodiques
Biomécanique -- Périodiques
Electronic journals
571.4305 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00219290 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/00219290 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/00219290 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jbiomech.2021.110793 ↗
- Languages:
- English
- ISSNs:
- 0021-9290
- Deposit Type:
- Legaldeposit
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- Physical Locations:
- British Library DSC - 4953.600000
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