Deformation-Based Treatment Plan Generation for Radiation Therapy
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Solution Overview
Problem
Radiation therapy treatment plans are time-consuming and inconsistent due to changes in patient anatomy over time, requiring frequent updates and expert approval that may not align with the dynamic needs of treatment facilities.
Innovation Solution
Generating a plurality of treatment plans using deformation information, either historical or calculated, to modify diagnostic images and account for anticipated changes in patient anatomy, allowing for pre-approval and efficient implementation during treatment sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If treatment plans are customized to account for changes in patient anatomy over time, then treatment accuracy and effectiveness are improved, but the time required to develop and approve plans increases
Solution Approach 1:
The system generates multiple treatment plans in advance, before the actual treatment session, by applying deformation information to account for anticipated anatomical changes. This preliminary generation allows plans to be ready for review and approval before treatment is needed, reducing waiting time while maintaining accuracy.
Solution Approach 2:
The system creates multiple versions of treatment plans that account for different possible anatomical configurations and changes over time. By generating plans for various deformation scenarios, the system adapts to dynamic changes in patient anatomy without requiring complete plan redevelopment for each change.
2Adaptability or versatility
If multiple treatment plans are generated to account for anatomical variations, then adaptability to patient changes is improved, but the complexity of plan management increases
Solution Approach 1:
The system segments the treatment planning process by generating multiple discrete plans based on different deformation scenarios. Each plan corresponds to a specific anatomical configuration, allowing the system to manage complexity by breaking down the overall planning task into manageable segments that can be independently evaluated.
Solution Approach 2:
The system varies parameters such as deformation magnitude and direction to generate multiple treatment plans. By systematically changing these parameters to reflect different anatomical states, the system creates a comprehensive set of plans without manually designing each scenario from scratch, thereby managing complexity through parameterization.
3Reliability
If treatment plans require expert approval for each update, then treatment safety is improved, but the speed of treatment delivery deteriorates
Solution Approach 1:
Multiple treatment plans are generated in advance and can be pre-approved or reviewed in batches before treatment sessions begin. This preliminary preparation reduces the need for immediate expert approval during treatment delivery, thereby maintaining safety through prior review while speeding up actual treatment execution.
Data Source
AI summary
One provides (101) a plurality of different treatment plans for a given patient, wherein at least one such plans is provided by using deformation information that is obtained by using historical information for persons other than the given patient regarding physical changes over time as correspond to at least one volume within the given patient and/or calculated information regarding physical changes as correspond to the at least one volume within the patient. Obtained data (102) as pertains to the patient is then used to select (103) a particular one of the aforementioned plurality of different treatment plans.