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GPU computing in medical physics: A review
Author(s) -
Pratx Guillem,
Xing Lei
Publication year - 2011
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3578605
Subject(s) - graphics processing unit , massively parallel , computer science , exploit , graphics , general purpose computing on graphics processing units , computational science , medical imaging , image processing , cuda , supercomputer , parallel processing , computer graphics (images) , medical physics , parallel computing , artificial intelligence , image (mathematics) , physics , computer security
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.