A collaboratory for radiation therapy treatment planning optimization research

被引:16
|
作者
Deasy, J. [1 ]
Lee, E. K.
Bortfeld, T.
Langer, M.
Zakarian, K.
Alaly, J.
Zhang, Y.
Liu, H.
Mohan, R.
Ahuja, R.
Pollack, A.
Purdy, J.
Rardin, R.
机构
[1] Oncol Washington Univ, Dept Radiat, Div Bioinformat & Outcomes Res, St Louis, MO USA
[2] Georgia Inst Technol, Atlanta, GA 30332 USA
[3] Emory Univ, Atlanta, GA 30322 USA
[4] Massachusetts Gen Hosp, Boston, MA 02114 USA
[5] Indiana Univ, Indianapolis, IN 46204 USA
[6] Rice Univ, Houston, TX 77251 USA
[7] UTMD Anderson Canc Ctr, Houston, TX USA
[8] Univ Florida, Gainesville, FL USA
[9] Fox Chase Canc Ctr, Philadelphia, PA 19111 USA
[10] Purdue Univ, W Lafayette, IN 47907 USA
基金
美国国家科学基金会;
关键词
radiation therapy treatment planning; intensity modulated radiation therapy; optimization;
D O I
10.1007/s10479-006-0079-7
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:55 / 63
页数:9
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