An interactive beam-weight optimization tool for three-dimensional radiotherapy treatment planning.
A computer software tool has been developed to aid the treatment planner in selecting beam weights for three-dimensional radiotherapy treatment planning. The program consists of a feasibility search algorithm embedded in an interactive, user-friendly driving program. The feasibility search algorithm is based on the iterative relaxation algorithm of Cimmino [La Ricerca Scientifica, Vol. I, pp. 326-333 (1938)] as applied to the radiotherapy inverse problem by Altschuler et al. [Med. Phys. 13, 590 (1986)]. Relative importances of structures based upon clinical considerations can be incorporated into the algorithm. In order to speed convergence, the relaxation parameter is made to vary, with its value based upon a measure of deviation from feasibility. The interactive driving program is designed so that the treatment planner can make reasonable judgments regarding the acceptability of a plan in the event that the dose constraints yield no feasible solution. An example of the use of this program applied to a problem in three-dimensional radiotherapy treatment planning is illustrated.
Starkschall
G
G
Department of Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston 77030.
Eifel
P J
PJ
D000465:Algorithms; D005123:Eye / Q000033:anatomy & histology; D005134:Eye Neoplasms / Q000532:radiotherapy*; D006801:Humans; D008433:Mathematics; D008953:Models, Anatomic; D011881:Radiotherapy, Computer-Assisted / Q000379:methods*; D012175:Retinoblastoma / Q000532:radiotherapy*