A collaboratory for radiation therapy treatment planning optimization research |
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| Authors: | J. Deasy E. K. Lee T. Bortfeld M. Langer K. Zakarian J. Alaly Y. Zhang H. Liu R. Mohan R. Ahuja A. Pollack J. Purdy R. Rardin |
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| Affiliation: | (1) Division of Bioinformatics and Outcomes Research Department of Radiation, Oncology Washington University, Saint Louis, MO, USA;(2) Georgia Institute of Technology, and Emory University, Atlanta, GA, USA;(3) Massachusetts General Hospital, Boston, MA, USA;(4) Indiana University, Indianapolis, IN, USA;(5) Rice University, Houston, TX, USA;(6) UT M.D. Anderson Cancer Center, Houston, TX, USA;(7) University of Florida, Gainesville, FL, USA;(8) Fox Chase Cancer Center, Philadelphia, PA, USA;(9) Purdue University, West Lafayette, IN, USA |
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| Abstract: | Intensity modulated radiation therapy treatment planning (IMRTP) is a challenging application of optimization technology. We present software tools to facilitate IMRTP research by computational scientists who may not have convenient access to radiotherapy treatment planning systems. The tools, developed within Matlab and CERR (computational environment for radiotherapy research), allow convenient access, visualization, programmable manipulation, and sharing of patient treatment planning data, as well as convenient generation of dosimetric data needed as input for treatment plan optimization research. CERR/Matlab also provides a common framework for storing, reviewing, sharing, and comparing optimized dose distributions from multiple researchers. |
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| Keywords: | Radiation therapy treatment planning Intensity modulated radiation therapy Optimization |
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