“…To use PWD to prescribe boundary conditions in CFD, one must assume an idealised velocity profile which is adjusted to match the mean or maximum velocity. AlternativelyIf available, 3D Colour Doppler Imaging (CDI) can be used to obtain velocity over the entire cross section of a vessel [ 20 ], [ 21 ], allowing for specification of patient-specific velocity profiles. Velocity measurements over the vessel cross section can also be obtained with 2D flow MRI [ 22 ].…”
We propose a novel method to map patient-specific blood velocity profiles (obtained from imaging data such as two-dimensional flow MRI or three-dimensional color Doppler ultrasound) to geometric vascular models suitable to perform computational fluid dynamics simulations of haemodynamics. We describe the implementation and utilization of the method within an open-source computational hemodynamics simulation software (CRIMSON). Methods: The proposed method establishes pointwise correspondences between the contour of a fixed geometric model and time-varying contours containing the velocity image data, from which a continuous, smooth, and cyclic deformation field is calculated. Our methodology is validated using synthetic data and demonstrated using two different in vivo aortic velocity datasets: a healthy subject with a normal tricuspid valve and a patient with a bicuspid aortic valve. Results: We compare our method with the state-of-the-art Schwarz-Christoffel method in terms of preservation of velocities and execution time. Our method is as accurate as the Schwarz-Christoffel method, while being over eight times faster. Conclusions: Our mapping method can accurately preserve either the flow rate or the velocity field through the surface and can cope with inconsistencies in motion and contour shape. Significance: The proposed method and its integration
“…To use PWD to prescribe boundary conditions in CFD, one must assume an idealised velocity profile which is adjusted to match the mean or maximum velocity. AlternativelyIf available, 3D Colour Doppler Imaging (CDI) can be used to obtain velocity over the entire cross section of a vessel [ 20 ], [ 21 ], allowing for specification of patient-specific velocity profiles. Velocity measurements over the vessel cross section can also be obtained with 2D flow MRI [ 22 ].…”
We propose a novel method to map patient-specific blood velocity profiles (obtained from imaging data such as two-dimensional flow MRI or three-dimensional color Doppler ultrasound) to geometric vascular models suitable to perform computational fluid dynamics simulations of haemodynamics. We describe the implementation and utilization of the method within an open-source computational hemodynamics simulation software (CRIMSON). Methods: The proposed method establishes pointwise correspondences between the contour of a fixed geometric model and time-varying contours containing the velocity image data, from which a continuous, smooth, and cyclic deformation field is calculated. Our methodology is validated using synthetic data and demonstrated using two different in vivo aortic velocity datasets: a healthy subject with a normal tricuspid valve and a patient with a bicuspid aortic valve. Results: We compare our method with the state-of-the-art Schwarz-Christoffel method in terms of preservation of velocities and execution time. Our method is as accurate as the Schwarz-Christoffel method, while being over eight times faster. Conclusions: Our mapping method can accurately preserve either the flow rate or the velocity field through the surface and can cope with inconsistencies in motion and contour shape. Significance: The proposed method and its integration
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.