Particle dose determination method and device based on pet signal nuclide decomposition, equipment, medium and program product

By using a method based on PET signal nuclide decomposition, Monte Carlo particle transport simulation and deep learning model, the PET signal is decomposed to predict the signal ratio of nuclides and the three-dimensional dose distribution. This solves the problem of insufficient accuracy in dose verification in existing radiotherapy and realizes accurate reconstruction and rapid prediction of particle dose distribution.

CN121819183BActive Publication Date: 2026-07-21CAS ION MEDICAL TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CAS ION MEDICAL TECHNOLOGY CO LTD
Filing Date
2025-12-19
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing radiotherapy dose verification methods cannot reflect the real-time position of the particle beam in the body and the actual dose distribution. They are also greatly affected by factors such as tissue heterogeneity, scattering and nuclear reactions, resulting in insufficient dose delivery accuracy.

Method used

A method based on PET signal nuclide decomposition is adopted. CT images are simulated using Monte Carlo particle transport simulation technology, a training dataset is constructed and a deep learning model is trained, and the PET signal is decomposed to predict the signal ratio of nuclides and the three-dimensional dose distribution. The dose is then predicted by combining CT images with beam parameters.

Benefits of technology

It achieves accurate reconstruction of particle dose distribution, reduces systematic errors caused by signal aliasing, improves the accuracy and interpretability of dose assessment, is applicable to different energy beams, tissue compositions and scanning time conditions, and has fast reasoning ability and good generalization ability.

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Abstract

The application provides a particle dose determination method and device based on PET signal nuclide decomposition, equipment, medium and program product, and relates to the application of the field of physics and computers in the field of radiotherapy. The method comprises the following steps: simulating a plurality of sample CT images respectively by a Monte Carlo particle transport simulation technology to obtain sample information corresponding to each sample image; constructing a first training data set based on the plurality of sample information, training a first initial model by using the first training data set to obtain a first target model for predicting the signal proportion of each nuclide; training a second initial model by using the first training data set and the signal proportion output by the first target model as a second training data set to obtain a second target model for predicting three-dimensional dose distribution information; and inputting a target CT image and a PET signal of a target time window into the first target model and the second target model in sequence to obtain three-dimensional dose distribution information output by the second target model.
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