Imaging Radiation Exposure Estimation With a Refined Source Model
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Solution Overview
Problem
Existing imaging systems with radiation sources face issues of increased radiation exposure for medical personnel and reduced image quality due to scattering from DAP chambers used to measure radiation exposure parameters, necessitating a more precise and efficient method to estimate these parameters.
Innovation Solution
A model-based approach is employed to estimate radiation exposure parameters by generating a refined model using measurement data from a specific imaging system, adapting a basic model with input variables such as radiation source operating parameters, thereby reducing the need for hardware like DAP chambers and improving estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a DAP chamber is positioned in the beam path to measure radiation exposure parameters, then measurement precision is improved, but scattered radiation increases leading to reduced image quality and increased radiation exposure to medical personnel
Solution Approach 1:
The patent creates a virtual model (copy) of the radiation exposure measurement system that simulates DAP chamber readings without requiring a physical chamber in the beam path. The virtual source model reproduces the radiation characteristics and calculates dose area product values computationally, eliminating the need for physical measurement devices that cause scattering.
Solution Approach 2:
The patent replaces the mechanical/physical measurement system (DAP chamber in beam path) with a computational model-based system. Instead of using physical sensors that interact with and scatter radiation, the system uses software simulations and calculations to determine radiation exposure parameters from imaging data and system parameters.
2Reliability
If a DAP chamber is used to measure radiation exposure parameters, then regulatory documentation requirements are met, but radiation exposure to medical personnel increases
Solution Approach 1:
The virtual source model creates a computational replica of the measurement function, producing DAP values that meet regulatory documentation requirements without requiring physical presence of measurement devices in the beam path, thereby protecting medical personnel from additional scattered radiation.
3Measurement precision
If Monte Carlo simulations are used to determine radiation dose, then measurement precision is improved, but computing resources and time are significantly increased
Solution Approach 1:
The patent uses a simplified virtual source model that captures the essential radiation characteristics without performing exhaustive Monte Carlo simulations. The model uses pre-established relationships and simplified calculations based on key parameters (kV, mA, exposure time, geometry) to achieve sufficient accuracy for clinical purposes while dramatically reducing computational burden.
Solution Approach 2:
The patent transforms the complex radiation transport problem into a simplified parameter-based calculation model. By expressing the virtual source characteristics in terms of measurable system parameters (tube voltage, current, exposure time, geometric factors) and using established physical relationships, the model achieves rapid calculations without requiring intensive Monte Carlo simulations.
Data Source
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AI summary
To estimate a radiation exposure parameter for an imaging system (1) with a radiation source (4), a basic model for determining the radiation exposure parameter is obtained as a function of a set of input quantities, which includes at least one radiation source operating parameter. Measurement data, measured for the imaging system (1), are obtained, which include the radiation exposure parameter for a multitude of different values of the at least one radiation source operating parameter. A refined model is generated by adapting the basic model as a function of the measurement data; by determining current values for the set of input quantities for the imaging system (1); and by using the refined model, an estimated value of the radiation exposure parameter is determined as a function of the current values for the set of input quantities.