arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1703.09461physics.med-ph
收藏

基于模拟退火的剂量-体积准则的高剂量率前列腺近距离放射治疗逆向计划

High-dose-rate prostate brachytherapy inverse planning on dose-volume criteria by simulated annealing

Timo M. Deist, Bram L. Gorissen

摘要:

高剂量率近距离放射治疗是一种肿瘤治疗方法,其中高度放射性源被带到肿瘤附近。在本文中,我们开发了一种模拟退火算法,以优化在预选的停留位置的停留时间,以最大限度地提高肿瘤的覆盖率下的剂量-体积的约束下的器官的风险。与现有的算法相比,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仔细选择的相邻状态。在本文中,我们概述了它的细节,并与现有的方法使用真实的患者数据进行了深入的比较。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑