Monte Carlo Dose Calculation Optimization for Neutron Capture Therapy
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Solution Overview
Problem
The conventional Monte Carlo method for neutron capture therapy is limited by slow convergence speed and long calculation time, hindering the efficient formulation of treatment plans that minimize radiation damage to normal tissues while effectively targeting tumor cells.
Innovation Solution
Optimize Monte Carlo calculation by simulating particle transport and dose counting methods, including acquiring particle information, calculating macroscopic cross-sections, determining survival status, and optimizing dose value calculations to reduce redundant computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the Monte Carlo method is used to simulate particle transport and calculate dose distribution, then the accuracy of the calculation model is improved, but the calculation time increases significantly
Solution Approach 1:
The patent divides the calculation process into separate modules: particle transport simulation, dose calculation, and treatment plan formulation. This segmentation allows each module to be optimized independently, improving overall efficiency while maintaining accuracy.
Solution Approach 2:
The patent optimizes calculation parameters such as particle history numbers, energy thresholds, and spatial discretization to achieve the best balance between calculation accuracy and time consumption. By carefully selecting and adjusting these parameters, the system maintains high precision while reducing computational burden.
2Reliability
If detailed particle transport simulation is performed to ensure accurate dose distribution, then the treatment plan quality is improved, but the operation time increases
Solution Approach 1:
The patent performs preliminary calculations and pre-processing of patient data before the main treatment plan formulation. This includes pre-calculating particle transport parameters and organizing patient anatomy data, which reduces the time required for the actual treatment plan generation while maintaining high quality results.
Solution Approach 2:
The patent uses simplified models and approximation methods for certain calculations, creating simplified copies of the full physics model where appropriate. This allows faster computation for routine calculations while maintaining accuracy for critical dose determination.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accelerates the formulation of treatment plans, ensuring accuracy and reducing operation time while minimizing radiation damage to normal tissues.
Implementation Method 1
the Monte Carlo method can establish the model accurately and simulate the random walk processes of the radiating particles in the body truly
Data Source
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AI summary
An optimization method for Monte Carlo calculation and a neutron capture therapy system. The method at least comprises: simulating a particle transport process using a transport calculation method; statistically determining expected dose values of particles using a dose counting method; and calculating an average expected dose value of a voxel grid on the basis of the expected dose value of each of the particles. By means of optimizing the simulation of the particle transport process or the dose counting method, the Monte Carlo calculation is optimized, thus shortening the therapy planning time.