Radiation Therapy Planning Beam Optimization FLASH
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Solution Overview
Problem
Current radiation therapy planning methods struggle to efficiently generate high-quality treatment plans for FLASH radiation therapy, particularly in minimizing exposure to normal, healthy tissue and managing time constraints in cancer treatment.
Innovation Solution
The method involves optimizing parameters such as the number of beams, beam directions, and beam energies to minimize overlap outside the target, while ensuring uniform dose distribution within the target. This includes specifying limits for irradiation time and dose rate for both target and normal tissues, and using computing systems to efficiently calculate and adjust beam intensities and segment weights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional radiation therapy planning methods are used to deliver sufficient radiation to the target, then the target receives adequate therapeutic dose, but normal, healthy tissue receives excessive radiation exposure
Solution Approach 1:
The treatment plan segments the radiation delivery into multiple beams with different directions, energies, and intensities. Each beam is optimized to contribute to the target dose while minimizing normal tissue exposure. The segmentation of beam parameters allows precise control over dose distribution spatially
Solution Approach 2:
The patent applies local quality by varying beam intensity, energy, and direction on a local basis across different regions of the target and surrounding tissue. This allows the dose distribution to be optimized locally - delivering high dose to the target while maintaining low dose to adjacent normal tissues, rather than using uniform beam parameters throughout
2Object-affected harmful factors
If multiple beam parameters are optimized to minimize normal tissue exposure, then normal tissue sparing is improved, but the complexity of treatment planning increases
Solution Approach 1:
The treatment planning system dynamically adjusts multiple beam parameters including intensity, energy, direction, and number of beams based on the specific patient anatomy and target characteristics. This dynamic optimization process automatically navigates the complex parameter space to find optimal solutions without requiring manual intervention for each parameter adjustment
Solution Approach 2:
The patent systematically varies multiple parameters simultaneously - beam intensity, energy levels, incident angles, and number of beams - to explore the solution space and identify optimal combinations that minimize normal tissue exposure. This multi-parameter optimization is managed through automated computational methods
3Object-affected harmful factors
If an entire high therapeutic radiation dose is delivered within a single short period (FLASH RT), then normal tissue damage is reduced, but the treatment planning constraints become more stringent
Solution Approach 1:
FLASH radiation therapy employs periodic or pulsed action by delivering the entire therapeutic dose in a single ultra-short treatment session rather than fractionated doses over multiple sessions. This temporal compression of the treatment delivery creates stringent constraints on beam parameter optimization to ensure the full dose can be delivered safely within the brief treatment window
Solution Approach 2:
The treatment planning process performs preliminary action by pre-calculating and optimizing all beam parameters before the actual FLASH treatment delivery. This advance planning ensures that when the ultra-short treatment is delivered, all parameters are precisely configured to achieve the desired dose distribution, eliminating the need for adjustments during the brief treatment session
4Object-affected harmful factors
If beam directions are optimized to minimize overlap outside the target, then normal tissue exposure is reduced, but the number of planning parameters increases
Solution Approach 1:
The patent addresses beam direction optimization by considering multiple spatial dimensions and angular orientations. By systematically varying beam incident angles and directions across different dimensional orientations, the system identifies optimal paths that minimize normal tissue exposure while maintaining target coverage, transforming a complex angular optimization problem into a structured multi-dimensional search
Data Source
AI summary
Radiation treatment planning includes accessing values of parameters such as a number of beams to be directed into sub-volumes in a target, beam directions, and beam energies. Information that specifies limits for the radiation treatment plan are accessed. The limits include a limit on irradiation time for each sub-volume outside the target. Other limits can include a limit on irradiation time for each sub-volume in the target, a limit on dose rate for each sub volume in the target, and a limit on dose rate for each sub-volume outside the target. The values of the parameters are adjusted until the irradiation time for each sub-volume outside the target satisfies the maximum limit on irradiation time.