GPU-Based Parallelized Solver for Large Scale Vascular Blood Flow Modeling and Simulations
- Resource Type
- Authors
- Anand P, Santhanam; John, Neylon; Jeff, Eldredge; Joseph, Teran; Erik, Dutson; Peyman, Benharash
- Source
- Studies in health technology and informatics. 220
- Subject
- Pulsatile Flow
Computer Graphics
Models, Cardiovascular
Humans
Computer Simulation
Signal Processing, Computer-Assisted
Arteries
Equipment Design
Blood Flow Velocity
- Language
- ISSN
- 1879-8365
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 ~100 FPS using a GTX 680m and ~40 FPS using a Tegra K1 computing platform.