Mobile X-ray Scattered Radiation Detection and Display
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Solution Overview
Problem
Mobile X-ray devices pose challenges in minimizing operator exposure to scattered radiation, as the distribution is unclear, making it difficult for operators to determine safe positions, and existing simulation methods are time-consuming and computationally intensive.
Innovation Solution
A mobile X-ray device with an adjustable recording system and a real-time scattered radiation distribution calculation unit, using a pretrained machine learning algorithm, displays hazardous and safe regions through a color-based projection system, enabling operators to quickly identify and move to safer positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If elaborate simulations (e.g., Monte Carlo simulations) are used to calculate scattered radiation distribution, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing scattered radiation distribution data through Monte Carlo simulations before the actual X-ray procedure. This pre-computed data is then quickly retrieved and applied to determine radiation distributions during operations, avoiding time-consuming real-time simulations while maintaining high measurement precision.
Solution Approach 2:
The patent uses copying by creating a simplified model or representation of the complex radiation distribution problem. Instead of performing full Monte Carlo simulations in real-time, the system uses pre-computed radiation distribution models that replicate the essential characteristics of scattered radiation, enabling fast calculation while preserving measurement accuracy.
2Loss of time
If real-time scattered radiation distribution calculation is performed using trained machine learning functions, then loss of time is reduced, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary layer in the form of a trained machine learning model that mediates between the complex physics of radiation distribution and the need for real-time calculation. This intermediary function translates input parameters (X-ray settings, patient geometry) into radiation distributions quickly, reducing calculation time while the model's internal complexity handles the computational burden.
Solution Approach 2:
The patent replaces complex mechanical simulation processes with computational algorithms. Instead of performing physically intensive Monte Carlo simulations in real-time, the system substitutes them with trained machine learning functions that mathematically model radiation distribution, significantly reducing computational complexity and enabling real-time operation.
3Ease of operation
If operators remain in the immediate surrounding area of the radiation source for mobile X-ray procedures, then ease of operation is improved, but object-affected harmful factors increase
Solution Approach 1:
The patent implements feedback by providing real-time information about scattered radiation distribution to operators through visual displays or warnings. This feedback mechanism allows operators to understand the radiation hazard levels in different positions, enabling them to make informed decisions about their location while maintaining ease of operation during mobile X-ray procedures.
Solution Approach 2:
The patent uses color changes as a visual feedback mechanism to indicate radiation hazard levels. Different colors represent different radiation dose levels or safe zones, providing operators with intuitive visual information about their exposure risk without complicating the operation interface, thus maintaining ease of operation while reducing harmful factors.
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
Enables rapid and accurate identification of hazardous and safe regions, reducing operator exposure to scattered radiation and enhancing user safety by providing immediate feedback on radiation levels.
Implementation Method 1
scattered radiation effects occur due to interaction of the X-ray radiation used (e.g., with the patient to be recorded himself)
Implementation Method 2
The display unit is embodied for the visual display (e.g., projection) of an item of information dependent upon the determined scattered radiation distribution
Data Source
AI summary
A mobile X-ray device with an adjustable recording system that is arranged on a device trolley is provided. The adjustable recording system has an X-ray source and an X-ray detector for recording X-ray images of an object. The mobile X-ray device includes a system controller for actuating the X-ray device, a calculation unit for real-time determination of a scattered radiation distribution from an X-ray radiation generated by the X-ray source in at least parts of the surrounding area of the X-ray device, and a display unit that is arranged on the device trolley and/or the recording system. The display unit is configured for display, taking place substantially in real time, of at least one item of information dependent upon the determined scattered radiation distribution in at least one part of the surroundings of the mobile X-ray device.