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Computational Challenges for Image-Guided Radiation Therapy: Framework and Current Research
2007
Seminars in Radiation Oncology
It is arguable that the imaging and delivery hardware necessary for delivering real-time adaptive image-guided radiotherapy is available on high-end linear accelerators. Robust and computationally efficient software is the limiting factor in achieving highly accurate and precise radiotherapy to the constantly changing anatomy of a cancer patient. The limitations are not caused by the availability of algorithms but rather issues of reliability, integration, and calculation time. However, each of
doi:10.1016/j.semradonc.2007.07.004
pmid:17903702
fatcat:3rp44tiphjb5bkaxpoo7yevwum