Non-Voxel Broad-Beam Dose Calculation for IMRT Optimization
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Solution Overview
Problem
Conventional intensity modulated radiation therapy (IMRT) optimization methods are costly, time-consuming, and lack accuracy due to reliance on voxel and beamlet representations, which fail to account for machine parameters and result in reduced spatial resolution and increased computational complexity.
Innovation Solution
The implementation of a non-voxel, broad-beam based dose calculation method that uses continuous viewpoint and functional formulation for direct optimization of machine parameters, such as dynamic jaw optimization and leaf position, and leverages graphics processing units for enhanced processing efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional voxel-based IMRT optimization methods are used, then the dose calculation can be performed with standardized approaches, but the processing time is excessive and planning cannot be completed under time constraints
Solution Approach 1:
The patent changes the fundamental parameter representation from discrete voxel-based dosimetry to continuous functional formulation. By representing dose distribution as continuous functions rather than discrete voxel values, the system enables analytical optimization that dramatically reduces computation time while maintaining accuracy under time constraints
Solution Approach 2:
The patent replaces the mechanical iterative optimization process with an analytical solution approach. Instead of repeatedly calculating dose distributions through mechanical iteration on voxel grids, the system uses closed-form mathematical solutions based on continuous functional representation, eliminating the time-consuming iterative computation
2Manufacturing precision
If voxel-based representation is used for IMRT optimization, then the methodology is standardized and implementable, but the spatial resolution is reduced and manufacturing precision deteriorates
Solution Approach 1:
The patent inverts the conventional approach by moving from discrete voxel representation to continuous functional representation. Instead of approximating continuous dose distributions with discrete voxels, the system represents the physical reality of continuous radiation transport mathematically, thereby achieving both high spatial resolution and dosimetric accuracy simultaneously
Solution Approach 2:
The patent transitions from three-dimensional voxel discretization to a continuous mathematical space with functional degrees of freedom. This dimensional transformation from discrete grid points to continuous functions provides infinite spatial resolution while maintaining computational tractability through analytical methods
3Adaptability or versatility
If conventional IMRT optimization accounts only for beamlet and voxel parameters, then the optimization scope is limited and device complexity is reduced, but machine parameters such as dynamic jaw and leaf positions cannot be optimized
Solution Approach 1:
The patent creates a universal optimization framework that simultaneously handles multiple parameter types (beamlet weights, machine parameters, dynamic jaw positions, leaf positions) within a single continuous functional formulation. This multi-functional approach eliminates the need for separate optimization processes for different parameter types while enhancing adaptability
Solution Approach 2:
The patent enables dynamic optimization of machine parameters by formulating the optimization problem in continuous time and space. This allows the system to optimize time-varying parameters such as dynamic jaw motion and leaf positions during beam delivery, transforming static optimization into a dynamic process that adapts to real-time treatment requirements
Data Source
AI summary
A method of calculating a dose distribution for a patient for use in a radiation therapy treatment plan. The method includes acquiring an image of a volume within the patient, defining a radiation source, and defining a reference plane oriented between the radiation source and the patient. The method also includes generating a radiation therapy treatment plan, wherein the plan includes a plurality of rays that extend between the radiation source and the patient volume, and calculating a three-dimensional dose volume for the patient volume from the plurality of rays that intersect the reference plane without first having to independently calculate a dose distribution on each of the plurality of rays. The method can also include displaying the three-dimensional dose volume.