Real-time Dose Reconstruction in Adaptive Radiotherapy
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Solution Overview
Problem
Current radiation therapy methods face challenges in accurately delivering planned dosimetry due to tissue motion during treatment fractions, leading to radiation exposure of non-target tissues and the inability to perform real-time three-dimensional imaging and dose reconstruction, which limits early detection of treatment errors and safe dose escalation.
Innovation Solution
A radiation therapy method involving four-dimensional simulation and image-guided adaptive radiotherapy, using high-resolution three-dimensional MRI to track target volumes in real-time, generating a treatment plan that accounts for motion and calculates real-time dose distributions, allowing for precise image guidance and dose reconstruction during treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a single simulation image is used to define the target volume, then the treatment planning process is simplified, but the accuracy of dose delivery is compromised due to unknown tissue motion in subsequent treatment fractions
Solution Approach 1:
The patent performs preliminary four-dimensional simulation and imaging before treatment to capture tissue motion characteristics. By pre-characterizing the motion patterns through multiple simulations and establishing motion models in advance, the system enables accurate real-time dose reconstruction during treatment without requiring complex real-time imaging, thus resolving the contradiction between planning simplicity and delivery accuracy.
Solution Approach 2:
The patent transitions from static single-simulation imaging to dynamic four-dimensional simulation that captures tissue motion over time. By incorporating temporal dimensions and motion modeling, the system adapts to changing tissue positions during treatment fractions, enabling accurate dose delivery despite tissue motion while maintaining practical treatment planning workflows.
2Manufacturing precision
If real-time three-dimensional imaging and dose reconstruction are implemented, then treatment precision and error detection are improved, but device complexity and computational requirements increase
Solution Approach 1:
The system performs complex four-dimensional simulation and motion characterization during the treatment planning phase rather than during treatment delivery. By pre-calculating motion models and establishing dose reconstruction frameworks in advance, the patent reduces real-time computational burden during treatment, enabling high precision without proportionally increasing device complexity.
Solution Approach 2:
The patent creates a computational model (copy) of the patient's anatomy and motion characteristics through four-dimensional simulation. This virtual replica allows the system to reconstruct dose distributions in real-time during treatment by applying pre-characterized motion patterns, thereby achieving treatment precision without requiring equally complex real-time imaging hardware.
3Measurement precision
If four-dimensional simulation and real-time image guidance are used, then dose reconstruction accuracy is improved, but treatment time and simulation complexity increase
Solution Approach 1:
The patent performs time-consuming four-dimensional simulation and motion modeling during the treatment planning phase before actual treatment delivery. By completing these computationally intensive tasks in advance, the system enables rapid real-time dose reconstruction during treatment fractions, thereby improving measurement precision without significantly increasing total treatment time.
Solution Approach 2:
The system establishes dynamic motion models during planning that can be efficiently applied during treatment. By capturing the essence of tissue motion through four-dimensional simulation and creating reusable motion parameters, the patent enables fast real-time dose reconstruction without requiring equally time-consuming simulations during each treatment fraction.
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 enables accurate real-time dose reconstruction and image guidance, reducing exposure to non-target tissues, enabling early error detection and safe dose escalation, and improving treatment precision by accounting for target volume motion.
Implementation Method 1
a uniform magnetic field produced by a polarizing magnet housed within the MRI machine
Implementation Method 2
Radio frequency (RF) pulses, generated by an RF coil housed within the MRI machine
Implementation Method 3
MRI signals are radiated by excited nuclei in the target tissue in the intervals between consecutive RF pulses
Implementation Method 4
Linear accelerators use microwave technology to accelerate electrons in a waveguide
Implementation Method 5
As a result of the collisions, high-energy x-rays are scattered from the target
Implementation Method 6
As a result of the collisions, high-energy x-rays are scattered from the target
Implementation Method 7
A portion of the scattered x-rays is collected and shaped by a beam collimating device to form an output beam of radiation conforming to the shape of the target volume
Data Source
AI summary
A radiation therapy treatment method comprises imaging a subject and simulating four-dimensional aspects of radiotherapy. A treatment plan based on the simulation is generated to permit real-time, three-dimensional dose reconstruction at the time of treatment. The simulation and treatment plan are used during treatment fractions to achieve real-time image guidance.