Radiation Dose Gradient Optimization for Radiotherapy Planning
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Solution Overview
Problem
Current radiosurgery techniques face challenges in delivering a precise three-dimensional radiation dose to target volumes while minimizing radiation exposure to adjacent healthy tissues, particularly in complex cases where traditional methods like cone arc therapy are inefficient and lack optimization for intensity modulated trajectory and arc treatments.
Innovation Solution
A method and apparatus that combine elements from radiosurgery and radiotherapy to optimize radiation delivery, using a gradient index and curve to achieve a steep dose drop-off at the border between the target area and surrounding tissues, with iterative optimization of beam aperture positions and radiation intensity to ensure effective treatment planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional cone arc therapy is used to deliver radiation to target volumes, then the treatment can be performed with established techniques, but the radiation dose distribution cannot be precisely optimized and adjacent healthy tissues receive excessive radiation
Solution Approach 1:
The patent applies local quality by modulating the radiation beam intensity at different spatial locations and angles. The optimization algorithm adjusts the weight and intensity of radiation from each trajectory and aperture position individually, creating a highly non-uniform dose distribution that concentrates energy precisely at the target volume while minimizing exposure to surrounding healthy tissues. This is achieved through the objective function that maximizes dose to target while constraining dose to normal structures.
Solution Approach 2:
The patent employs dynamics by using multiple movable apertures that can be positioned at different locations along radiation trajectories. The system dynamically selects and adjusts the contribution of each trajectory-aperture combination through optimization, allowing the radiation delivery pattern to adapt to the complex three-dimensional geometry of the target volume and surrounding critical structures. This dynamic approach enables precise dose sculpting that static cone arc therapy cannot achieve.
2Manufacturing precision
If intensity modulated trajectory and arc treatments are used to optimize radiation delivery, then precise three-dimensional dose distribution can be achieved, but the treatment planning complexity increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-defining a library of candidate trajectories and aperture positions before optimization. These pre-planned radiation paths and beam shapes serve as building blocks that the optimization algorithm selectively combines. This preliminary structuring of the solution space reduces the computational burden compared to optimizing all possible continuous trajectories, while still enabling precise three-dimensional dose distribution through the selective combination of these pre-defined elements.
Solution Approach 2:
The patent uses parameter changes by optimizing multiple variables including trajectory angles, aperture positions, beam intensities, and weights of different radiation paths. The algorithm systematically varies these parameters to find the combination that maximizes dose to the target volume while minimizing dose to surrounding healthy tissues. This multi-parameter optimization enables precise dose sculpting but inherently increases planning complexity, which is managed through the structured approach of using discrete trajectories and apertures.
3Manufacturing precision
If more isocenters are used in complex cases to improve dose distribution, then treatment precision increases, but treatment time increases
Solution Approach 1:
The patent applies segmentation by dividing the radiation delivery into multiple discrete trajectories and aperture positions rather than using a single isocenter or continuous arc. Each trajectory-aperture combination acts as an independent segment that can be optimized and delivered separately. This segmentation allows the treatment plan to achieve complex three-dimensional dose distribution through the coordinated action of multiple segments, while the optimization algorithm can selectively include or exclude segments to balance precision requirements with treatment time constraints.
Data Source
AI summary
Systems and methods for providing radiosurgery treatment to a patient by combining methods from both traditional radiosurgery and radiotherapy are disclosed. A dose sufficient to kill tissue is applied to a target area while a steep drop off, or gradient, is provided at the border between the target area and adjacent areas so that other portions of the brain or nearby structures or organs are not damaged. The treatment plan is optimized by using both measures known in the art along with a new gradient index or curve that indicates the amount of the drop off at the border between the target area and the surrounding tissues.