A neural network prediction device for vmat radiotherapy planning

Abstract

The invention relates to the technical field of quality control of radiotherapy plans, in particular to a neural network prediction device for VMAT radiotherapy plans, which is used to solve the problem of single control object, poor performance and large errors in the quality control methods of radiotherapy plans in the prior art question. The invention includes a data preparation module and a model design module, which are used to establish a multi-branch neural network model. The input of the multi-branch neural network model is processed to obtain multi-dimensional features, and then the predicted gamma pass rate is output; the model training module is used to perform first Feature extraction, and regression calculation of the gamma pass rate, and then backpropagation, update the parameters of the model, and iterate multiple times until good model parameters are obtained; the model test module is used to output the predicted gamma pass rate after forward calculation; In the present invention, radiotherapy plans for more body parts can be accepted through the above steps, with smaller performance errors and better effects.

Description

technical field [0001] The invention relates to the technical field of quality control of radiotherapy plans, and more particularly relates to a neural network prediction device for VMAT radiotherapy plans. Background technique [0002] In clinical tumor treatment, surgery, radiotherapy, and chemotherapy are the three most important treatment methods. Due to the wide indications and high selectivity of radiotherapy, more than 70% of malignant tumor patients need to be treated at a certain stage. Radiation therapy, modern radiotherapy techniques mainly include intensity modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT). Radiation therapy is an important cancer treatment method, which uses high-energy rays to irradiate target cells , destroy its DNA to stop growth, and make it lose the ability to divide and replicate. Since the accelerator used in its treatment is very precise and sensitive to the environment and the complexity of the treatment pla...

AI Technical Summary

Problems solved by technology

[0008] Based on the above problems, the present invention provides a neural network prediction device for VMAT radiotherapy plan, which is used to solve the problems of single control object, poor performance and large error in the quality control method of radiotherapy plan in the prior art

Images