Particle Therapy MRI Integration for Soft Tissue Accuracy
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Solution Overview
Problem
Current particle therapy treatment planning relies heavily on X-Ray CT data, which can lead to inaccuracies in determining the composition of soft tissues and the biological effectiveness of the radiation dose, resulting in potential damage to healthy tissues and suboptimal treatment delivery due to uncertainties in particle beam range and dose deposition.
Innovation Solution
The integration of magnetic resonance imaging (MRI) data with particle therapy systems for real-time calculations of dose deposition and beam adjustments, accounting for interaction properties of soft tissues and the influence of MRI magnetic fields, enables more precise targeting and biological effectiveness determination, allowing for on-target dose delivery and optimization of radiation therapy plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If X-Ray CT data is used for treatment planning, then the treatment planning process is simple and fast, but the accuracy of soft tissue composition determination and dose deposition calculation is insufficient
Solution Approach 1:
The patent combines MRI imaging capabilities with the particle therapy system, integrating soft tissue characterization directly into the treatment delivery infrastructure. This merging allows accurate soft tissue composition determination without requiring separate external imaging systems, thus improving measurement precision while managing device complexity through integration.
Solution Approach 2:
The patent introduces MRI as an intermediary imaging modality between the particle beam and the treatment planning system. MRI provides superior soft tissue contrast and composition information that acts as a mediator to improve dose calculation accuracy, bridging the gap between simple X-Ray CT and the need for precise soft tissue characterization.
2Manufacturing precision
If X-Ray CT data is used for treatment planning, then the treatment delivery is fast, but the accuracy of particle beam range and dose deposition is uncertain
Solution Approach 1:
The patent performs MRI-based soft tissue characterization and dose calculation simulations before actual particle beam delivery. By preparing accurate interaction property maps and dose deposition predictions in advance using MRI data, the system ensures precise beam range accuracy during treatment without significant time loss during the actual delivery phase.
Solution Approach 2:
The patent replaces reliance on X-Ray CT density measurements with MRI-based soft tissue interaction property mapping. This substitution uses MRI's superior soft tissue contrast mechanisms to directly determine composition and calculate dose deposition, improving manufacturing precision (beam range accuracy) while maintaining efficient treatment workflows.
3Reliability
If MRI data is integrated with particle therapy system, then the accuracy of dose deposition calculation is improved, but the system complexity and cost increase
Solution Approach 1:
The patent merges MRI imaging and particle therapy delivery into an integrated system where MRI data directly feeds into the treatment planning and dose calculation algorithms. This combination improves reliability of dose delivery by providing accurate soft tissue interaction properties, while the integrated design manages complexity through unified system architecture rather than separate standalone systems.
4Object-affected harmful factors
If MRI data is used for real-time dose deposition calculations, then off-target dose deposition is reduced, but the computational requirements and processing time increase
Solution Approach 1:
The patent performs comprehensive dose deposition calculations and treatment plan optimizations before particle beam delivery using MRI-derived interaction properties. By completing complex computational tasks in advance, the system minimizes real-time computational requirements during treatment while ensuring off-target dose deposition is minimized through pre-optimized beam parameters and accurate dose predictions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy of particle therapy by improving the differentiation of soft tissue types, reducing off-target dose deposition, and optimizing radiation delivery, thereby increasing the effectiveness of cancer treatment while minimizing damage to healthy tissues.
Implementation Method 1
receiving patient magnetic resonance imaging (MRI) data... utilizing the patient MRI data to perform real-time calculations of a location of dose deposition for the particle beam, taking into account interaction properties of soft tissues
Data Source
AI summary
Particle radiation therapy and planning utilizing magnetic resonance imaging (MRI) data. Radiation therapy prescription information and patient MRI data can be received and a radiation therapy treatment plan can be determined for use with a particle beam. The treatment plan can utilize the radiation therapy prescription information and the patient MRI data to account for interaction properties of soft tissues in the patient through which the particle beam passes. Patient MRI data may be received from a magnetic resonance imaging system integrated with the particle radiation therapy system. MRI data acquired during treatment may also be utilized to modify or optimize the particle radiation therapy treatment.