Probabilistic Treatment Beam Planning for Robust Particle Therapy
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Solution Overview
Problem
Current beam therapy planning methods fail to adequately account for uncertainties such as Hounsfield unit variations, adjustment errors, and contour changes, leading to suboptimal radiation dose distribution and robustness in particle therapy.
Innovation Solution
A method and apparatus for planning a treatment beam that incorporates probability distributions to optimize radiation dose and robustness, using predetermined parameter values to adjust for expected deviations, and generating a probability-volume histogram to visualize and set limit values for radiation dose, thereby enhancing treatment beam control and precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam therapy planning is performed without considering uncertainty factors, then the planning process is simple and fast, but the robustness and reliability of treatment are reduced
Solution Approach 1:
The patent applies preliminary action by pre-defining uncertainty factors (Hounsfield unit variations, contour changes, setup errors) and their probability distributions before treatment planning. This allows the system to proactively account for potential deviations rather than reacting to them during treatment execution.
Solution Approach 2:
The patent changes parameters by introducing probability distributions for various uncertainty factors (Hounsfield units, contour definitions, beam setup) and using these to generate multiple possible treatment scenarios. This transforms the planning from a single deterministic plan to a probabilistic robust plan.
2Reliability
If higher radiation dose is delivered to ensure target coverage, then treatment effectiveness improves, but the risk of exceeding safe dose limits increases
Solution Approach 1:
The patent implements feedback by calculating the probability that healthy tissue will exceed dose limits based on the uncertainty distributions. This probability feedback is then used to adjust the treatment plan, creating a closed-loop system that ensures both target coverage and healthy tissue protection.
Solution Approach 2:
The patent applies partial action by delivering radiation dose with built-in margins that account for uncertainties. Instead of delivering exactly the prescribed dose, the system delivers a dose that ensures coverage even when uncertainties cause deviations, thereby protecting healthy tissue while ensuring target coverage.
3Measurement precision
If strict precision requirements are maintained for beam alignment and dose delivery, then treatment accuracy improves, but the complexity and cost of equipment and procedures increase
Solution Approach 1:
The patent applies beforehand cushioning by incorporating uncertainty margins into the treatment planning phase. These margins act as a cushion that absorbs potential deviations during treatment delivery, reducing the stringency of precision requirements for beam alignment and dose delivery during actual treatment.
Data Source
AI summary
A method and an apparatus for planning a treatment beam aimed at at least one target region are provided. Planning parameters having associated predetermined parameter values are for performing a treatment that is to be applied with the treatment beam. The method includes defining a first predetermined parameter value of the planning parameters that is suitable for the irradiation of a treatment region that includes at least one target region. The method also includes ascertaining, based on the first predetermined parameter value, a first probability distribution in relation to an optimizable variable that is prespecified based on deviations to be expected when carrying out the irradiation.