Data-driven Multi-Grid solver for accelerated pressure projection

An Unstructured-Grid, Parallel, Projection Solver for Computing Low-Speed Flows

This paper presents an overview of the issues associated with applying a domain-decomposition message-passing paradigm to the parallel implementation of both explicit and semi-implicit projection algorithms. The use of an element-based domain decomposition with an e cient solution strategy for the pressure eld is shown to yield a scalable, parallel solution method capable of treating complex ow...

Hybrid PDE solver for data-driven problems and modern Branching

Accelerated image reconstruction using ordered subsets of projection data

The authors define ordered subset processing for standard algorithms (such as expectation maximization, EM) for image restoration from projections. Ordered subsets methods group projection data into an ordered sequence of subsets (or blocks). An iteration of ordered subsets EM is defined as a single pass through all the subsets, in each subset using the current estimate to initialize applicatio...

An overset grid method coupling an orthogonal curvilinear grid solver and a Cartesian grid solver

GPU accelerated voxel-driven forward projection for iterative reconstruction of cone-beam CT

BACKGROUND For cone-beam computed tomography (CBCT), which has been playing an important role in clinical applications, iterative reconstruction algorithms are able to provide advantageous image qualities over the classical FDK. However, the computational speed of iterative reconstruction is a notable issue for CBCT, of which the forward projection calculation is one of the most time-consuming ...