MRI-Guided Multimodal Radiotherapy Dose Deposition
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Solution Overview
Problem
Current radiotherapy methods face challenges in accurately determining dose deposition and biological effectiveness due to uncertainties in tissue composition and interaction properties, leading to potential damage to healthy tissues and suboptimal treatment plans.
Innovation Solution
Integration of magnetic resonance imaging (MRI) data with radiotherapy systems to enhance treatment planning by accurately determining soft tissue composition and interaction properties, allowing for real-time dose deposition calculations and biological effectiveness assessment, and enabling combined photon and particle beam therapy without patient repositioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radiotherapy planning methods are used, then treatment delivery can be performed, but dose deposition accuracy is insufficient due to uncertainties in tissue composition and interaction properties
Solution Approach 1:
The patent replaces conventional CT-based density estimation with MRI-based soft tissue composition analysis. MRI provides superior soft tissue contrast and chemical composition data, allowing for more accurate calculation of radiation interaction properties through advanced algorithms that process MRI signals to determine tissue characteristics affecting radiation dose deposition.
Solution Approach 2:
The patent changes the fundamental parameters used for tissue characterization from CT Hounsfield units to MRI-based composition parameters. By using MRI, the system can determine specific tissue composition parameters (fat content, water content, protein concentration) that directly influence radiation interaction, replacing the indirect density measurements of CT with direct compositional data.
2Measurement precision
If MRI data is integrated with radiotherapy systems, then treatment planning accuracy improves, but system complexity increases
Solution Approach 1:
The patent merges MRI imaging capabilities with radiotherapy delivery systems by integrating an MRI scanner into the treatment room or establishing a coordinated imaging-treatment workflow. The system combines MRI data processing algorithms with radiation transport calculations, creating a unified planning environment that leverages both imaging and therapy capabilities.
Solution Approach 2:
The patent creates a multi-functional system where the integrated platform can perform imaging, data processing, treatment planning, and dose calculation functions. The system is designed to handle multiple data types (MRI images, patient geometry, treatment prescription) and perform various analytical tasks through a single integrated architecture, reducing the need for separate standalone systems.
3Productivity
If combined photon and particle beam therapy is delivered without patient repositioning, then treatment efficiency improves, but requires sophisticated real-time dose deposition calculation
Solution Approach 1:
The patent performs preliminary dose deposition calculations using MRI-derived tissue composition data before actual treatment delivery. The system pre-calculates radiation transport parameters and creates optimized beam configurations based on the patient's unique tissue characteristics, allowing for efficient real-time delivery without requiring complex calculations during the actual treatment process.
Solution Approach 2:
The patent implements feedback mechanisms that allow the system to adjust treatment parameters based on real-time or near-real-time dose deposition calculations. The system continuously monitors treatment delivery and compares it with planned doses, making corrections as needed to ensure accurate dose delivery while maintaining treatment efficiency.
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
Improves the accuracy of dose delivery and reduces healthy tissue exposure by optimizing treatment plans based on precise tissue interaction and composition data, enhancing therapeutic efficacy and sparing healthy tissues.
Implementation Method 1
a magnetic resonance imaging system (MRI) configured to acquire images of the patient during administration of radiation therapy
Implementation Method 2
The ionizing radiation delivered by radiotherapy beams destroys the DNA and other important components of diseased cells and prevents the cells from replicating
Data Source
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AI summary
A photon therapy delivery system can deliver radiation therapy to a patient via a photon beam. The system can utilize a controller configured to facilitate delivery of radiation therapy via a photon beam and also a particle beam. This can include receiving radiation therapy beam information for radiation therapy treatment of a patient utilizing the particle beam and photon beam. Also, patient magnetic resonance imaging (MRI) data can be received during the radiation therapy treatment. Utilizing the patient MRI data, real-time calculations of a location of dose deposition for the particle beam and for the photon beam can be determined taking into account interaction properties of soft tissues through which the particle beam passes.