A method and system for direct field optimization of intensity-modulated radiation therapy

Abstract

The invention discloses a method used for direct segment optimization in intensity-modulated radiotherapy. The method comprises steps of acquiring basic information of a patient; calculating a targetfunction gradient matrix, and using a fuzzifier to eliminate noise; using an adaptive threshold segmentation principle to generate a new segment shape; optimizing the segment weight and optimizing allexisting segment weights; optimizing the segment shape and optimizing all existing segment shapes; and outputting information of three-dimensional dosage distribution, DVH curves, the number of the segments, the segment shapes and the segment weights. The invention also discloses a system including the method used for direct segment optimization in intensity-modulated radiotherapy. The system comprises an information acquisition module, a preprocessing module, a segment generation module, a segment weight optimization module, a segment shape optimization module and an information outputting module. According to the invention, problems of low accuracy and low optimization efficiency of segment shapes in the current optimization methods and optimization systems are solved.

Description

technical field [0001] The invention belongs to the technical field of radiotherapy scheme optimization, and in particular relates to a method for optimizing direct subfields of intensity-modulated radiotherapy. The present invention also provides a system for direct subfield optimization of intensity-modulated radiation therapy including the above method. Background technique [0002] Radiation therapy is one of the three main means of treating malignant tumors. Intensity-modulated radiotherapy (IMRT) irradiates the target area with a field of uneven intensity, which minimizes the risk of radiation to surrounding normal organs while ensuring that the target area receives uniform high-dose irradiation. Commonly used clinical radiotherapy techniques. Traditional IMRT generally adopts a "two-step method": first optimize the fluence map (fluence map optimization, FMO) to obtain the optimal intensity distribution, and then divide the optimal intensity distribution into a multi...

AI Technical Summary

Problems solved by technology

However, due to the complex relationship between the subfield shape and the patient's internal anatomy, a large number of subfields are generated in the first iteration, and the accuracy of the generated subfield shape is not accurate enough, which increases the time required for scheme optimization, so only compromise treatment options

The second method first optimizes the sub-beam intensity and th

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