Optimization method and optimization system for adaptive radiotherapy

Abstract

The invention provides an optimization method and an optimization system for adaptive radiotherapy. The method comprises the following steps that: an initial anatomical structure of a patient is determined; an initial scheme applicable to initial irradiation is determined on the basis of the initial anatomical structure; fluence map optimization is carried out according to the initial anatomical structure to obtain fluence map distribution; before each time of multi-time irradiation, a current anatomical structure of the patient is determined, and the fluence map optimization is carried out according to the current anatomical structure to obtain the fluence map distribution of the current time irradiation; the fluence map distribution of the current time irradiation and the fluence map distribution of the reference irradiation are registered to obtain a deformation matrix, wherein the reference irradiation is any one irradiation before the current time irradiation; the deformation matrix is used for correcting the sub field shape of the reference irradiation to obtain the sub field shape of the current time irradiation; and a sub field weight optimization algorithm is adopted for determining the sub field weight of the current time irradiation. The optimization method and the optimization system can more precisely and fast determine the sub field shape in the multi-time radiotherapy scheme.

Description

technical field [0001] The present invention mainly relates to an optimization technology for adaptive radiation therapy, and in particular to an optimization method and system for adaptive radiation therapy based on fluence map changes. Background technique [0002] In the prior art, there are mainly two-step method and direct sub-field optimization method for the optimization method of radiotherapy plan, wherein, the two-step method includes two parts of fluence map optimization and field segmentation. Generally speaking, the optimization results obtained by the fluence map optimization in the two-step method are better than or equal to the optimization results obtained by the direct subfield optimization method. However, for the two-step method, the result of fluence map optimization needs to go through the step of field segmentation to obtain the final leaf sequence of the multi-leaf collimator. However, in the field segmentation step, it is an NP-hard problem to divide...

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Problems solved by technology

[0008] However, since the relationship between the subfield shape and the patient's internal anatomical structure is very complex and not a simple linear relationship, the current method of correcting the subfield shape of the initial scheme according to the deformation matrix of the anatomical structure cannot accurately obtain the current subfield shape. The subfield shape of the radiotherapy plan

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