An optimization system for intensity modulated radiotherapy

Abstract

The present invention provides a method and system for optimizing intensity-modulated radiotherapy. The method includes: discretizing the radiation beam and the organ of interest into multiple core beams and multiple voxels respectively, and determining the relationship between multiple core beams and multiple voxels The degree of correlation between multiple pen core bundles and multiple voxels, the current dose distribution and ideal dose distribution of multiple voxels, and the weights of multiple voxels, the weights of multiple pen core bundles are updated to Get the update value of the weight of multiple pen core bundles; calculate the new dose distribution of the planned target area according to the update value of the weight of multiple pen core bundles, if the new dose distribution does not meet the requirements, then re-weight the weight of multiple pen core bundles Updates are made until the new dose distribution for multiple voxels meets the requirements. The present invention can avoid pre-calculating and storing the dosage distribution matrix of the pen core beam, and can also avoid the process of solving equations, and at least has the advantages of fast optimization speed and small memory occupation.

Description

technical field [0001] The present invention mainly relates to the technique of intensity-modulated radiotherapy, in particular to an optimization system of intensity-modulated radiotherapy. Background technique [0002] Intensity Modulated Radiation Therapy (IMRT, Intensity Modulated Radiation Therapy) is a commonly used radiotherapy method, which mainly adjusts and optimizes the dose intensity in the radiation field (beam) to meet the requirements. The optimization of IMRT can be achieved through the optimization of fluence map. [0003] In the prior art, there are mainly two strategies for flux map optimization: one is to establish an optimization model, using the weight of the discretized pencil beam or beamlet in the flux map as the decision variable, and discretizing the voxel (voxel) weight as the decision variable ) of the difference between the actual dose and the specified dose (such as the weighted sum of squares) is the minimization objective, and the global opt...

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Problems solved by technology

[0004] Both of the above two technologies have the following defects: first, the dose distribution matrix of a large number of refill bundles must be pre-calculated and stored, which takes a long time and requires a large amount of memory in the computing device; second, the number of variables is huge and there are many constraints, resulting in no matter is the process of solving an optimization model or solving a system of equations is very slow

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