A particle source distribution method and system for particle implantation therapy

Optimizing the particle cloth source position through mixed optimization algorithm and block distribution source algorithm, solving the problem of relying on doctors' experience and high computing costs in the existing technology, achieving efficient and accurate particle cloth source, reducing calculation time and cost, and improving the optimization quality of the algorithm.

CN118949298BActive Publication Date: 2025-08-19NEW SMART MEDICAL TECH (NINGBO) CO LTD
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Patent Information

Application Number
CN202411433335.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-15
Publication Date
2025-08-19
Estimated Expiration
2044-10-15

AI Technical Summary

Technical Problem

The existing TPS system is overly dependent on the physician's clinical experience in particle implantation treatment, and the calculation cost is high and time-consuming. The Monte Carlo method has a long calculation time and requires high-performance computing resources. There are local optimal problems with simulated annealing methods.

Method used

The hybrid optimization algorithm is used to combine the block source distribution algorithm and particle swarm algorithm (PSO) and simulated annealing algorithm (SA). The particle spread source position is optimized through standard dose templates and abstract dose templates. The particle swarm algorithm is used for global search, and the simulated annealing algorithm is used for local optimization. The high and low dose zones are determined in combination with normal distribution, reducing calculation costs and improving algorithm quality.

Benefits of technology

A high-precision, lightweight and easy-to-use particle source distribution method is realized, which reduces calculation time and cost, improves the optimization quality of the algorithm, avoids pseudo-optimal cases, and provides an efficient particle source distribution solution.

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Abstract

The present invention belongs to the technical field of tumor radiotherapy dose calculation and optimization, and provides a particle source distribution method and system for particle implantation therapy. The method includes the following steps: obtaining medical images of the tumor and surrounding tissue; determining the size data of the tumor based on the medical images, and calculating the number of particles to be implanted based on the size data; and determining the optimal source distribution position of the particles through a hybrid optimization algorithm based on a standard dose template determined by the radiation dose of a single particle. The advantage of the present invention is that when the particles are initially distributed, an abstract dose template is used to make the particle arrangement more reasonable and orderly, further reducing the computational cost of the algorithm and improving the quality of algorithm optimization; at the same time, the radiation of the particles to the surrounding area is pre-packaged in the system as a standard dose template, which can be used at any time, eliminating the need for complex calculations and only requiring an almost cost-free addition calculation to determine the optimal source distribution position.
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