Verification and Validation of Merging Patient-Specific Computational Fluid Dynamics and 4D-Flow MRI

Miller, Alexandria M.; Bakhshinejad, Ali; Firoozabad, Mojtaba Fathi; Baghaei, Ahmadreza; Sacho, Raphael; Koch, Kevin M.; Roloff, Christoph; Berg, Philipp; D'Souza, Roshan M.

by Alexandria M. Miller, Ali Bakhshinejad, Mojtaba Fathi Firoozabad, Ahmadreza Baghaei, Raphael Sacho, Kevin M. Koch, Christoph Roloff, Philipp Berg, Roshan M. D'Souza

Abstract:

In this work, we present the result of verification and validation of our previously developed method that enabled merging of patient-specific Computational Fluid Dynamics (CFD) and 4D-Flow MRI using Proper Orthogonal Decomposition (POD) to address limitations of both modalities. A constant fluid flow boundary condition was applied on a transparent in vitro aneurysm phantom geometry and the volumetric velocity field was scanned using 4D-Flow MRI, and tomographic Particle Image Velocimetry (tPIV). The latter has much higher spatial resolution and can be used to verify the accuracy of the results of merging CFD and volumetric 4D-Flow MRI. Results show that the POD-based merging algorithm enables reconstruction of fine flow details not seen in 4D-Flow MRI due to limited spatial resolution.

Reference:

Verification and Validation of Merging Patient-Specific Computational Fluid Dynamics and 4D-Flow MRI (Alexandria M. Miller, Ali Bakhshinejad, Mojtaba Fathi Firoozabad, Ahmadreza Baghaei, Raphael Sacho, Kevin M. Koch, Christoph Roloff, Philipp Berg, Roshan M. D'Souza), In 27th International Society for Magnetic Resonance in Medicine Meeting, 2019.

Bibtex Entry:

@inproceedings{miller_verification_2019,
	address = {MontrÃ©al, Canada},
	title = {Verification and {Validation} of {Merging} {Patient}-{Specific} {Computational} {Fluid} {Dynamics} and 4D-{Flow} {MRI}},
	abstract = {In this work, we present the result of verification and validation of our previously developed method that enabled merging of patient-specific Computational Fluid Dynamics (CFD) and 4D-Flow MRI using Proper Orthogonal Decomposition (POD) to address limitations of both modalities. A constant fluid flow boundary condition was applied on a transparent in vitro aneurysm phantom geometry and the volumetric velocity field was scanned using 4D-Flow MRI, and tomographic Particle Image Velocimetry (tPIV). The latter has much higher spatial resolution and can be used to verify the accuracy of the results of merging CFD and volumetric 4D-Flow MRI. Results show that the POD-based merging algorithm enables reconstruction of fine flow details not seen in 4D-Flow MRI due to limited spatial resolution.},
	booktitle = {27th {International} {Society} for {Magnetic} {Resonance} in {Medicine} {Meeting}},
	author = {Miller, Alexandria M. and Bakhshinejad, Ali and Firoozabad, Mojtaba Fathi and Baghaei, Ahmadreza and Sacho, Raphael and Koch, Kevin M. and Roloff, Christoph and Berg, Philipp and D'Souza, Roshan M.},
	year = {2019}
}