Starkschall G, Eifel P J
Department of Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston 77030.
Med Phys. 1992 Jan-Feb;19(1):155-63. doi: 10.1118/1.596902.
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.
已开发出一种计算机软件工具，以协助治疗计划师为三维放射治疗计划选择射束权重。该程序由嵌入交互式、用户友好型驱动程序中的可行性搜索算法组成。可行性搜索算法基于Cimmino [《科学探索》，第I卷，第326 - 333页(1938年)] 的迭代松弛算法，Altschuler等人 [《医学物理》13, 590 (1986年)] 将其应用于放射治疗逆问题。基于临床考虑的结构相对重要性可纳入该算法。为了加快收敛速度，使松弛参数根据与可行性的偏差度量来变化其值。交互式驱动程序的设计使得治疗计划师在剂量约束未产生可行解的情况下，能够对计划的可接受性做出合理判断。文中举例说明了该程序在三维放射治疗计划问题中的应用。
