Radiotherapy Treatment Planning With Local Fallback Optimization
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Solution Overview
Problem
Existing radiotherapy treatment planning systems face challenges such as lengthy optimization times, high computational burdens, and reliance on remote servers that can fail due to network issues, leading to interruptions in treatment planning and patient safety concerns.
Innovation Solution
A treatment-planning apparatus with dual modes of operation: local optimization and remote server communication, allowing for standalone planning when the server is unavailable and seamless integration with a central server for enhanced capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If treatment planning is performed using a remote server, then computational burden is reduced and optimization quality is improved, but network failures can occur leading to treatment planning interruptions and patient safety concerns
Solution Approach 1:
The patent implements local quality by enabling the treatment planning system to operate in two distinct modes: cloud-based mode for normal operations and local fallback mode for network failures. The local processing capability is maintained but not always used, activating only when needed to maintain reliability without permanently increasing system complexity.
Solution Approach 2:
The system dynamically switches between cloud-based and local processing modes based on network availability. The controller monitors network status and automatically transitions between operational modes, making the system adaptive to changing conditions rather than static in its architecture.
2Manufacturing precision
If optimization procedures include multiple objectives and constraints for multiple anatomical structures, then treatment plan quality is improved, but optimization time increases becoming lengthy and computationally burdensome
Solution Approach 1:
The patent segments the treatment planning problem into multiple independent or loosely coupled optimization tasks that can be processed in parallel. By dividing the overall optimization into smaller sub-problems related to different anatomical structures or objective groups, the system maintains high precision while reducing total computation time through parallel processing capabilities.
Data Source
AI summary
A treatment-planning apparatus for radiotherapy, the apparatus comprising: processing circuitry; a network interface; and a non-transitory computer-readable medium storing instructions which, when executed by the processing circuitry, cause the processing circuitry to: in a first mode of operation, receive input data comprising imaging data and one or more medical objectives, and perform an optimization process using the input data to generate a treatment plan; and, in a second mode of operation, output data comprising imaging data and one or more medical objectives to an external treatment-planning server via the network interface, and receive a treatment plan from the external treatment-planning server via the network interface.