Radiotherapy automatic planning system, automatic planning method and computer program product

Abstract

The invention provides a radiotherapy automatic planning system, which comprises an information input unit, a parameter generation unit, a dose prediction unit, an evaluation unit and an output unit, and is characterized in that the information input unit is used for inputting patient information including medical image information, contour sketching information and prescription dose information; the parameter generation unit generates initialization parameters based on a first neural network model according to the medical image information, the contour sketching information and the prescription dosage information, and outputs the initialization parameters to the TPS, so that the TPS can determine a radiotherapy plan by using the initialization parameters; the dose prediction unit predicts the dose distribution of the radiotherapy plan generated by the TPS based on a second neural network model according to the medical image information and the contour sketching information; the evaluation unit compares the dose distribution of the radiotherapy plan determined by the TPS with the predicted dose distribution to generate an evaluation result; and the output unit outputs the radiotherapy plan generated by the TPS according to the evaluation result. The efficiency of designing the radiotherapy plan can be improved.

Description

technical field [0001] The invention relates to the technical field of radiotherapy, in particular to a radiotherapy automatic planning system, a radiotherapy automatic planning method and a computer program product. Background technique [0002] Radiation therapy uses radiation to treat diseases, which is one of the important means of tumor treatment. It is of great significance to improve human health and increase human lifespan. [0003] Typically, the dose distribution of a radiation therapy plan depends on the dose goals defined by the physicist. The traditional design of forward treatment planning, which is highly dependent on the experience of physicists, has been gradually replaced by reverse planning. The physicist submits the dose prescription to the computer, which uses dose calculation and optimization techniques to meet the set target volume and organ-at-risk dose requirements. In order to ensure the safety and reliability of treatment, a treatment planning sy...

AI Technical Summary

Problems solved by technology

A junior physicist is likely to need to repeat the design optimization 5 to 7 times in order to get a planning design that meets the prescription requirements, and the time required ranges from half an hour to several hours, and may even be unable to complete the planning design at all

[0006] In addition, due to unavoidable differences in experience and level, there are huge differences in the quality of radiotherapy plans designed by different levels of hospitals and different physicists for the same case, which may reduce the probability of tumor control in some patients or increase unnecessary radiation therapy. normal tissue complication probability

[0007] Existing technology still falls short in terms of the complexity and time-consuming nature of radiation treatment plan design

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