TY - JOUR
T1 - Non-invasive pressure difference estimation from PC-MRI using the work-energy equation
AU - Donati, Fabrizio
AU - Figueroa, C. Alberto
AU - Smith, Nicolas P.
AU - Lamata de la Orden, Pablo
AU - Nordsletten, David A.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - Pressure difference is an accepted clinical biomarker for cardiovascular disease conditions such as aortic coarctation. Currently, measurements of pressure differences in the clinic rely on invasive techniques (catheterization), prompting development of non-invasive estimates based on blood flow. In this work, we propose a non-invasive estimation procedure deriving pressure difference from the work-energy equation for a Newtonian fluid. Spatial and temporal convergence is demonstrated on in silico Phase Contrast Magnetic Resonance Image (PC-MRI) phantoms with steady and transient flow fields. The method is also tested on an image dataset generated in silico from a 3D patient-specific Computational Fluid Dynamics (CFD) simulation and finally evaluated on a cohort of 9 subjects. The performance is compared to existing approaches based on steady and unsteady Bernoulli formulations as well as the pressure Poisson equation. The new technique shows good accuracy, robustness to noise, and robustness to the image segmentation process, illustrating the potential of this approach for non-invasive pressure difference estimation.
AB - Pressure difference is an accepted clinical biomarker for cardiovascular disease conditions such as aortic coarctation. Currently, measurements of pressure differences in the clinic rely on invasive techniques (catheterization), prompting development of non-invasive estimates based on blood flow. In this work, we propose a non-invasive estimation procedure deriving pressure difference from the work-energy equation for a Newtonian fluid. Spatial and temporal convergence is demonstrated on in silico Phase Contrast Magnetic Resonance Image (PC-MRI) phantoms with steady and transient flow fields. The method is also tested on an image dataset generated in silico from a 3D patient-specific Computational Fluid Dynamics (CFD) simulation and finally evaluated on a cohort of 9 subjects. The performance is compared to existing approaches based on steady and unsteady Bernoulli formulations as well as the pressure Poisson equation. The new technique shows good accuracy, robustness to noise, and robustness to the image segmentation process, illustrating the potential of this approach for non-invasive pressure difference estimation.
KW - 4D flow
KW - Aortic flow
KW - PC-MRI
KW - Pressure differences estimation
KW - Work-energy equation
UR - http://www.scopus.com/inward/record.url?scp=84942257432&partnerID=8YFLogxK
U2 - 10.1016/j.media.2015.08.012
DO - 10.1016/j.media.2015.08.012
M3 - Article
AN - SCOPUS:84942257432
SN - 1361-8415
VL - 26
SP - 159
EP - 172
JO - Medical Image Analysis
JF - Medical Image Analysis
IS - 1
ER -