A Fast 4D B-Spline Framework for Model-Based Reconstruction and Regularization in Vector Flow Imaging

Thomas Gronli, Morten Wigen, Patrick Segers, Lasse Lovstakken
2018 2018 IEEE International Ultrasonics Symposium (IUS)  
A generic framework for model-based regularization and reconstruction is described, with applications in a wide range of noisy measurement scenarios. The framework employs automatic differentiation and stochastic gradient optimizers to perform online measurement fitting and regularization, and was implemented as a scalable CPU and GPU library with highperformance operation even in compute-or memory-intensive contexts, such as for 4D cardiac vector flow imaging. The framework was demonstrated by
more » ... was demonstrated by reconstructing 4D vector flow mapping through the incorporation of the incompressible Navier-Stokes equations. Furthermore, the achieved performance was within bedside applicability requirements.
doi:10.1109/ultsym.2018.8579767 fatcat:4dx3hcvwsve2daytbmiankyhay