A constrained least-squares optimization method for external beam radiation therapy treatment planning.

A constrained least-squares optimization method for external beam radiation therapy treatment planning.
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外束放射治疗治疗计划的约束最小二乘优化方法。

DOI:
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发表时间:
1984
期刊:
Medical Physics (Lancaster)
影响因子:
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通讯作者:
G. Starkschall
G. Starkschall
中科院分区:
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文献类型:
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作者:
G. Starkschall

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已经开发了一种方法来优化选择射束权重的外部射束放射治疗治疗计划。该方法使用矩阵变换方法实现靶体积中预选点处剂量的最小二乘拟合。这种方法比传统的最小二乘法更通用,因为它允许将传递到关键器官的最大允许剂量作为约束条件,以及所有射束权重为非负的要求。已经编写了一种计算机算法DOSEOPT,该算法从射野大小和方向已经预先确定的射束中获取各个点的剂量矩阵,并对靶体积中的所需剂量和关键器官的最大剂量进行约束最小二乘拟合。文中讨论了该算法的实现及其在几种情况下的应用。
A method has been developed to optimize the selection of beam weights for external beam radiation therapy treatment planning. This method uses a matrix transformation method to achieve a least-squares fit to doses at preselected points in a target volume. This method is more general than the conventional least-squares method in that it allows one to incorporate as constraints maximum allowable doses delivered to critical organs, as well as the requirement that all beam weights be non-negative. A computer algorithm DOSEOPT has been written which takes a matrix of doses to various points from beams whose field sizes and orientations have been predetermined, and performs the constrained least-squares fit to desired doses in the target volume and maximum doses to critical organs. Implementation of this algorithm and its application to several cases are discussed.