title: 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.
authors.affiliation: Department of Radiation Oncology, Stanford University School of Medicine, 875 Blake Wilbur Drive, Stanford, California 94305, USA. pratx@stanford.edu
authors.forename: Guillem
authors.initials: G
authors.lastname: Pratx
authors.forename: Lei
authors.initials: L
authors.lastname: Xing
mesh_terms: D003196:Computer Graphics; D003205:Computing Methodologies; D003952:Diagnostic Imaging / Q000295:instrumentation*; D004867:Equipment Design; D006283:Health Physics / Q000295:instrumentation* / Q000379:methods; D011880:Radiotherapy Planning, Computer-Assisted / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*