Back to Search
Start Over
GPU accelerated simulations of magnetic resonance imaging of vascular structures
- Source :
- 11th International Conference on Parallel Processing and Applied Mathematics, PPAM 2015, 11th International Conference on Parallel Processing and Applied Mathematics, PPAM 2015, Sep 2015, Krakow, Poland. pp.389--398, ⟨10.1007/978-3-319-32149-3_37⟩, Parallel Processing and Applied Mathematics ISBN: 9783319321486, PPAM (1)
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- International audience; Computer simulations of magnetic resonance imaging (MRI) are important tools in improving this imaging modality and developing new imaging techniques. However, MRI models often have to be simplified to enable simulations to be carried out in a reasonable time. The computational complexity associated with the tracking of magnetic fields’ perturbations with high spatial and temporal resolutions is very high and, thus, it calls for using parallel computing environments. In this paper, we present a GPU-based parallel approach to simulate MRI of vascular structures. The magnetization calculation in different spatial coordinates is spread over GPU cores. We apply CUDA framework and take advantage of GPU memory hierarchy to efficiently exploit GPU computational power. Experimental results with different GPUs and various images show that the proposed algorithm substantially speedups the simulation. The proposed GPU-based approach may be easily adopted in modeling of other flow related phenomena like perfusion or diffusion. © Springer International Publishing Switzerland 2016.
- Subjects :
- Parallel-computing environment
Computer science
Memory hierarchy
0206 medical engineering
Vascular structures
02 engineering and technology
Imaging techniques
030204 cardiovascular system & hematology
Tracking (particle physics)
Computational power
Resonance
Computational science
03 medical and health sciences
CUDA
Computer graphics
0302 clinical medicine
Magnetic resonance imaging
Computer graphics equipment
medicine
ComputingMethodologies_COMPUTERGRAPHICS
Modality (human–computer interaction)
medicine.diagnostic_test
Parallel processing systems
Magnetism
Spatial coordinates
Computer simulation
Imaging modality
Program processors
020601 biomedical engineering
Power (physics)
Computer Science::Graphics
[SDV.IB]Life Sciences [q-bio]/Bioengineering
Perfusion
Graphics Processing Unit
Spatial and temporal resolutions
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-319-32148-6
- ISBNs :
- 9783319321486
- Database :
- OpenAIRE
- Journal :
- 11th International Conference on Parallel Processing and Applied Mathematics, PPAM 2015, 11th International Conference on Parallel Processing and Applied Mathematics, PPAM 2015, Sep 2015, Krakow, Poland. pp.389--398, ⟨10.1007/978-3-319-32149-3_37⟩, Parallel Processing and Applied Mathematics ISBN: 9783319321486, PPAM (1)
- Accession number :
- edsair.doi.dedup.....a2ee1b65d40a740711a3ed4f4f747abb