Deist T M, Gorissen B L
Department of Econometrics and Operations Research 5000 LE Tilburg, Tilburg University, The Netherlands.
Phys Med Biol. 2016 Feb 7;61(3):1155-70. doi: 10.1088/0031-9155/61/3/1155. Epub 2016 Jan 13.
High-dose-rate brachytherapy is a tumor treatment method where a highly radioactive source is brought in close proximity to the tumor. In this paper we develop a simulated annealing algorithm to optimize the dwell times at preselected dwell positions to maximize tumor coverage under dose-volume constraints on the organs at risk. Compared to existing algorithms, our algorithm has advantages in terms of speed and objective value and does not require an expensive general purpose solver. Its success mainly depends on exploiting the efficiency of matrix multiplication and a careful selection of the neighboring states. In this paper we outline its details and make an in-depth comparison with existing methods using real patient data.
高剂量率近距离放射治疗是一种将高放射性源置于肿瘤附近的肿瘤治疗方法。在本文中，我们开发了一种模拟退火算法，用于在危及器官的剂量体积约束下，优化预选驻留位置处的驻留时间，以最大化肿瘤覆盖率。与现有算法相比，我们的算法在速度和目标值方面具有优势，并且不需要昂贵的通用求解器。它的成功主要取决于利用矩阵乘法的效率和对相邻状态的精心选择。在本文中，我们概述了其细节，并使用真实患者数据与现有方法进行了深入比较。
