Name
Title | ||
|---|---|---|
GPU-Based Parallelized Solver for Large Scale Vascular Blood Flow Modeling and Simulations. |
Abstract | ||
|---|---|---|
Cardio-vascular blood flow simulations are essential in understanding the blood flow behavior during normal and disease conditions. To date, such blood flow simulations have only been done at a macro scale level due to computational limitations. In this paper, we present a GPU based large scale solver that enables modeling the flow even in the smallest arteries. A mechanical equivalent of the circuit based flow modeling system is first developed to employ the GPU computing framework. Numerical studies were employed using a set of 10 million connected vascular elements. Run-time flow analysis were performed to simulate vascular blockages, as well as arterial cut-off. Our results showed that we can achieve similar to 100 FPS using a GTX 680m and similar to 40 FPS using a Tegra K1 computing platform. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3233/978-1-61499-625-5-345 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Blood flow modeling,GPU | Data mining,Blood flow,Parallel computing,Solver,Medicine | Conference |
Volume | ISSN | Citations |
220 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anand P. Santhanam | 1 | 37 | 9.75 |
| John Neylon | 2 | 1 | 2.06 |
| Jeff D. Eldredge | 3 | 30 | 4.99 |
| Joseph Teran | 4 | 1286 | 61.85 |
| Erik Dutson | 5 | 24 | 6.21 |
| Peyman Benharash | 6 | 0 | 1.69 |