Three-dimensional dose prediction method and system in personalized precise radiotherapy plan

Abstract

The invention discloses a three-dimensional dose prediction method and system in a personalized precise radiotherapy plan. The method comprises the following steps of: 1, acquiring radiotherapy related information such as an electronic computed tomography image, a dangerous organ structure mask image and a three-dimensional dose distribution image; 2, performing data preprocessing operation on the images in the step 1; 3, inputting the acquired image data into a two-stage generator network to generate a three-dimensional dose distribution image and a confidence map; 4, confronting the three-dimensional dose distribution prediction image and the three-dimensional dose distribution real image by adopting a Markov discriminator; 5, jointly optimizing a prediction model through a reconstruction loss function, a reconstruction loss function with the confidence coefficient weight and a confrontation loss function; and 6, generating three-dimensional dose distribution by using the trained prediction model. Through the three-dimensional dose prediction method and system in the personalized precise radiotherapy plan provided by the technical schemes of the invention, manual intervention in the radiotherapy plan can be reduced, the dose prediction precision is improved, and personalized precise radiotherapy is realized.

Description

technical field [0001] The invention relates to the cross field of artificial intelligence and medical image processing, in particular to a three-dimensional dose prediction method and system in personalized and precise radiotherapy planning. Background technique [0002] The traditional radiation therapy plan is completed through repeated discussions and collaborations between clinicians and physicists with relevant professional knowledge, so as to ensure that patients receive the correct treatment plan and high-quality radiation dose, but this means that the completion of a treatment plan It can take several days to formulate, which reduces tumor control and the patient's chances of survival somewhat. To solve this problem, automated radiotherapy planning methods and systems provide a possibility for computer-assisted personalized and precise radiotherapy, thereby shortening the time for radiotherapy planning. In recent years, the rapid development of artificial intelligen...

AI Technical Summary

Problems solved by technology

At the same time, the Markov discriminator is used against the 3D dose distribution prediction image and the 3D dose distribution real image to improve the prediction quality of the 3D dose distribution image, showing strong performance and theoretical advantages in solving the problem of clinical radiation therapy dose prediction

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