Radiotherapy is one method of treating di erent diseases like cancer. It requires a treatment plan that clearly delineates target and non-target volumes, and the beams and their intensities to deliver the prescribed dose. Historical treatment plans often contain volume names that are unaccounted for. An approach is applied where desired volumes are detected and renamed to conform to current search standards. The mapped names provide an avenue for searching historical plans when performing outcomes analysis in the future to help improve quality in radiation therapy. A specific form known as intensity modulated radiation therapy is applied to total marrow irradiation, a method to remove all marrow in the body prior to bone marrow transplant. A set-covering approach is used, solved using heuristics and commercial packages to compare outcomes. Constraint programming is used in an attempt to better and to improve on the heuristic solutions.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/32596 |
| Date | 26 July 2012 |
| Creators | Lee, Chieh-Hsiu Jason |
| Contributors | Aleman, Dionne |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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