Optimization method of online self-adaption radiotherapy plan

Abstract

The invention discloses an optimization method of an online self-adaption radiotherapy plan. The method comprises the steps of performing rigid registration and deformation registration on an image in a primary plan after a fractional guide image is input, so as to generate a target section and a fractional sketch outline which dangers organs; recalculating a dosage distribution and dosage volume histogram according to the parameters, fractional guide image and the fractional sketch outline in an original plan; judging whether the radiotherapy plan needs to be altered by combining the restriction of an original formula; combining a clinical requirement to perform rapid online alteration of the patient radiotherapy plan if needed, so as to generate the fractional guide image and perform an automatic radiotherapy plan quality guarantee. According to the optimization method provided by the invention, the optimization of the radiotherapy plan can be quickly finished at short time before every fractional therapy by comprehensively considering the change of a therapy in a patient treating process, based on a deformation rectification and dosage computational algorithm accelerated by a CPU (Central Processing Unit). Compared with an off-line self-adaption radiotherapy method based on a commercial treatment planning system, the optimization method is high in efficiency and meets clinical demands.

Description

Technical field [0001] The invention relates to a method for optimizing a treatment plan, in particular to a method for optimizing a radiotherapy plan. Background technique [0002] The current tumor radiotherapy process generally generates a radiotherapy plan based on the patient's positioning CT before the start of the treatment, and then keeps the radiotherapy plan unchanged during the subsequent treatment process, and performs several treatments on the patient. This treatment mode does not take into account the changes in the patient’s anatomical structure during the treatment process, such as changes in tumor volume and position, changes in the patient’s body contour, changes in gastrointestinal filling, and changes in the position of surrounding organs at risk. The received dose deviates from the doctor's prescribed dose, which in turn causes a decrease in tumor control rate and an increase in the probability of normal tissue complications. [0003] When the patient's anatom...

AI Technical Summary

Problems solved by technology

However, the process of generating a new treatment plan is the same as designing the original radiotherapy plan. It takes a long time, delays the treatment time of the new plan, and requires a lot of manpower and material resources, so it is rarely adopted by hospitals.

[0004] Therefore, looking at the existing radiation therapy models at home and abroad, the traditional radiation therapy does not take into account the changes in the patient's anatomical structure during the treatment process, so the expected treatment goals cannot be achieved. If offline adaptive radiation therapy based on a commercial treatment planning system Treatment, low efficiency, time-consuming and labor-intensive, so it is difficult to be widely used clinically

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