Diagnosis-Driven MRI-Guided Radiotherapy Workflow for Parameter Control
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Solution Overview
Problem
Existing magnetic resonance image guided radiotherapy (MRgRT) systems face complexity and inefficiency in planning and execution due to the numerous parameters involved, lacking a systematic approach to automate and streamline the imaging, planning, and treatment processes.
Innovation Solution
A diagnosis-driven MRgRT&P workflow system that captures and utilizes initial parameters from imaging, planning, and treatment phases to automate and streamline the process, incorporating a workflow editor for revision and storage in a library for future use, enabling efficient generation and control of radiation therapy plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual parameter management is used for each imaging, planning, and treatment phase, then comprehensive control over treatment parameters is achieved, but system complexity and time consumption increase significantly
Solution Approach 1:
The patent combines multiple separate parameter management systems (imaging parameters, planning parameters, treatment parameters) into a single integrated workflow system. The workflow automatically retrieves and coordinates all parameters across different phases, eliminating the need for separate manual management of each parameter set while maintaining comprehensive control.
Solution Approach 2:
The system performs preliminary retrieval and validation of parameters from historical workflows before actual treatment execution. By pre-fetching and organizing parameters in advance, the system reduces real-time complexity and ensures all necessary parameters are ready and validated before treatment begins.
2Reliability
If manual parameter management is used for each imaging, planning, and treatment phase, then detailed parameter control is maintained, but time consumption and inefficiency increase
Solution Approach 1:
The workflow system automatically retrieves parameters from stored historical workflows without requiring manual intervention. The system serves itself by automatically fetching, validating, and coordinating parameters across imaging, planning, and treatment phases, significantly improving efficiency while maintaining accuracy through automated validation rules.
Solution Approach 2:
The patent replaces manual mechanical parameter management with an automated information system. Instead of manually setting and transferring parameters between phases, the system uses automated retrieval, validation, and coordination mechanisms that reduce time consumption while maintaining or improving parameter control accuracy.
3Measurement precision
If parameters are determined de novo for each treatment, then treatment precision is maximized, but consistency across treatments decreases
Solution Approach 1:
The system incorporates feedback by retrieving and validating parameters against historical workflow data. Each treatment's parameters are compared and validated against established patterns from previous successful treatments, ensuring both precision for the current case and consistency with proven treatment approaches.
Solution Approach 2:
The system allows parameter values to be dynamically adjusted based on specific patient needs while maintaining consistency through structured validation. Parameters can be modified from historical values when clinically indicated, but changes are tracked and validated to ensure treatment plan consistency across different patients and sessions.
4Reliability
If comprehensive parameter lists are maintained for all phases, then complete treatment control is achieved, but data management complexity increases
Solution Approach 1:
The system extracts and retrieves only the necessary parameters from comprehensive historical workflow data rather than managing all parameters simultaneously. By extracting relevant parameters on-demand from stored workflows, the system maintains complete treatment control while reducing active data management complexity.
Data Source
AI summary
Systems, methods, and computer software are disclosed that can include receiving a treatment prescription for a patient, obtaining a diagnosis-driven magnetic resonance imaging guided radiotherapy treatment and planning workflow (MRgRT&P workflow) associated with the treatment prescription from a workflow library, the diagnosis-driven MRgRT&P workflow having a parameter list comprising parameters utilized for MRI-guided radiation therapy. With the diagnosis-driven MRgRT&P workflow, any of the following can be performed: imaging with the MRI-guided radiation therapy system utilizing radiation therapy imaging parameters in the parameter list, generating a radiation therapy treatment plan utilizing radiation therapy planning parameters in the parameter list, and/or controlling an MRI-guided radiation therapy system utilizing radiation therapy delivery parameters in the parameter list.