Pencil Beam Dose Calculation with Density-Dependent Corrections
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Solution Overview
Problem
Current radiation therapy methods face challenges in accurately delivering radiation doses to tumors while minimizing damage to surrounding healthy tissues, particularly in heterogeneous media with varying electron densities, due to computational inefficiencies and inaccuracies in traditional pencil-beam models.
Innovation Solution
A system and method that utilize electron density-dependent parameterization of finite-size pencil beams, including normalization factors and density-dependent profiles, to enable real-time dose optimization with constant time computational complexity, accounting for lateral disequilibrium and complex electron density distributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional pencil-beam models are used for dose calculation, then computational efficiency is maintained, but accuracy in heterogeneous media with varying electron densities deteriorates
Solution Approach 1:
The patent applies parameter changes by introducing electron density-dependent parameters into the pencil-beam model. Specifically, it uses density-dependent lateral build-up coefficients and kernel integration to adjust dose calculation parameters according to the electron density of the medium, thereby improving accuracy in heterogeneous media while maintaining computational efficiency through analytical corrections rather than full Monte Carlo simulations.
Solution Approach 2:
The patent employs an intermediary approach by using corrected pencil-beam algorithms that incorporate density-dependent corrections as intermediate steps between simple pencil-beam calculations and accurate Monte Carlo simulations. These corrections act as mediators that account for lateral electronic disequilibrium and complex electron density distributions without requiring the full computational complexity of Monte Carlo methods.
2Measurement precision
If Monte Carlo simulations are used to account for lateral electronic disequilibrium and complex electron density distributions, then dose calculation accuracy improves, but computational time increases significantly
Solution Approach 1:
The patent uses a computationally efficient pencil-beam algorithm with analytical corrections instead of expensive Monte Carlo simulations. The corrected pencil-beam model provides sufficient accuracy for treatment planning by using simplified mathematical models that can be calculated quickly, avoiding the time-consuming particle-by-particle tracking of Monte Carlo methods while maintaining clinical applicability.
Solution Approach 2:
The patent performs preliminary calculations by pre-determining density-dependent parameters and correction factors that can be applied during dose calculation. By preparing these correction tables and parameters in advance, the system can quickly apply the appropriate corrections during treatment planning without performing time-consuming simulations in real-time.
3Manufacturing precision
If conventional radiation therapy planning is used, then treatment delivery is simplified, but dose delivery precision to tumors while minimizing healthy tissue damage deteriorates
Solution Approach 1:
The patent applies local quality by making the dose calculation model adapt to local conditions through electron density-dependent parameters. The pencil-beam algorithm adjusts its behavior based on the specific electron density characteristics of different tissue regions, providing locally optimized dose calculations that account for variations in tissue composition without requiring a completely complex planning system.
Data Source
AI summary
A system to provide enhanced computational efficiency in determining dose in a media of varying density from a high-energy radiation-beam for radiation treatment, program product, and related methods are provided. The system can include a radiation treatment planning computer and radiation treatment planning program product adapted to enhance optimization of a radiation treatment plan for delivering radiation to a complex medium defining a patient volume. The program product provides functions including those for predetermining a delivery machine-dependent representation of radiation dose for different electron densities selected over a representative range, predetermining a depth-dependent representation of central axis properties of a pencil beam passing through a complex medium, and determining with constant time computational complexity, radiation dose for each of a plurality of points of interest in a heterogeneous medium having a complex spatial distribution of heterogeneous electron densities by applying the predetermined machine-dependent and depth-dependent representations.