The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
GPU computing in medical physics: A review
Abstract
The graphics processing unit (GPU) has emerged as a competitive platform for computing massively parallel problems. Many computing applications in medical physics can be formulated as data-parallel tasks that exploit the capabilities of the GPU for reducing processing times. The authors review the basic principles of GPU computing as well as the main performance optimization techniques, and survey existing applications in three areas of medical physics, namely image reconstruction, dose calculation and treatment plan optimization, and image processing.
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Cites
Fast Deformable Registration on the GPU: A CUDA Implementation of Demons
Muyan-Ozcelik, P., Owens, J. D., Xia, J., & Samant, S. S. (2008) · 2008 International Conference on Computational Sciences and Its Applications · doi:10.1109/iccsa.2008.22 · Cited by 115
GIST: an interactive, GPU-based level set segmentation tool for 3D medical images
CATES, J., LEFOHN, A., & WHITAKER, R. (2004) · Medical Image Analysis · doi:10.1016/j.media.2004.06.022 · Cited by 102
High-performance cone beam reconstruction using CUDA compatible GPUs
Okitsu, Y., Ino, F., & Hagihara, K. (2010) · Parallel Computing · doi:10.1016/j.parco.2010.01.004 · Cited by 70
Cited by
Medical image segmentation on GPUs – A comprehensive review
Smistad, E., Falch, T. L., Bozorgi, M., Elster, A. C., & Lindseth, F. (2015) · Medical Image Analysis · doi:10.1016/j.media.2014.10.012 · Cited by 264
4D MR phase and magnitude segmentations with GPU parallel computing
Bergen, R. V., Lin, H.-Y., Alexander, M. E., & Bidinosti, C. P. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2014.08.019 · Cited by 11
Metadata
- Authors
- Pratx, G., & Xing, L.
- Venue
- Medical Physics
- Publisher
- Wiley
- Published
- 2011-05-09
- Volume
- 38
- Issue
- 5
- Pages
- 2685-2697
- ISSN
- 0094-2405 (ISSN-L)
- OpenAlex
- W2055844022
- Cited by
- 300
- References
- 3
- FWCI
- 43.50
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
