3D Radiation Exposure Mapping for X-Ray Imaging Safety
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Solution Overview
Problem
Radiological imaging devices, particularly X-ray equipment with C-arms, cause significant radiation exposure and heating issues during prolonged procedures, leading to potential damage and skin burns, as existing systems lack effective methods to distribute radiation evenly and monitor exposure levels accurately.
Innovation Solution
A method involving the acquisition of 3D images, determination of absorption coefficients, calculation of radiation exposure, and representation of exposure levels in a 3D format, using color codes to alert operators of excessive radiation, along with the option to simulate exposure based on selected imaging parameters, and incorporating temperature monitoring to prevent overheating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequent irradiation of the affected body region is performed over an extended period to complete difficult examinations or interventions, then the imaging quality is improved, but the radiation exposure and heating of the irradiated area increase significantly
Solution Approach 1:
The system performs preliminary calculation of radiation exposure and temperature distribution before actual irradiation occurs. By pre-computing the 3D radiation exposure map and temperature field based on the object's 3D image and material properties, the system enables physicians to plan irradiation paths and parameters in advance, avoiding excessive radiation exposure and heating while maintaining imaging quality.
Solution Approach 2:
The system provides real-time feedback by calculating and displaying the current radiation exposure and temperature distribution in the irradiated area. This feedback mechanism allows physicians to adjust irradiation parameters and positioning dynamically during procedures, ensuring that radiation exposure and heating remain within safe limits while maintaining necessary imaging quality.
2Object-affected harmful factors
If the position of the X-ray device is altered to distribute radiation over a larger volume, then radiation exposure is reduced, but this requires considerable experience and discipline from the physician
Solution Approach 1:
The system performs self-service by automatically calculating and visualizing the radiation exposure distribution and temperature field based on the current irradiation parameters and object geometry. This automated analysis eliminates the need for physicians to rely solely on their experience and judgment, providing objective, real-time information that guides positioning decisions and reduces the operational burden.
Solution Approach 2:
The system uses color-coded visualizations to represent radiation exposure and temperature distributions in the 3D image. Different colors indicate different levels of radiation exposure and temperature, providing an intuitive and immediate visual feedback mechanism that helps physicians quickly identify high-risk areas and adjust positioning without requiring extensive interpretative experience.
3Object-affected harmful factors
If the sum of radiation doses from several X-ray recordings is added together to monitor exposure, then radiation safety is improved, but slight changes in projection setting cause the sum to reset to zero even though the same region continues to be radiated
Solution Approach 1:
The system transitions from 2D projection-based radiation monitoring to 3D spatial radiation exposure mapping. By calculating radiation exposure for each voxel in the 3D image space and maintaining a cumulative exposure map that persists across multiple recordings, the system accurately tracks total radiation dose regardless of projection angle changes, eliminating the resetting problem inherent in 2D sum-based monitoring.
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 method allows for precise representation and simulation of radiation exposure and temperature distribution, enabling physicians to adjust imaging settings to minimize radiation damage and overheating, thereby reducing the risk of radiation-induced injuries and improving procedural safety.
Implementation Method 1
In X-rays an object being examined, e.g. a patient, is irradiated with X-ray beams. If X-ray beams penetrate a body, they are attenuated or absorbed to varying degrees depending on the material involved
Implementation Method 2
If X-ray beams penetrate a body, they are attenuated or absorbed to varying degrees depending on the material involved
Implementation Method 3
When material is penetrated, radiation supplies energy to the surrounding atoms or molecules. Electrons from the atomic shells can also be struck and chemical bonds can be broken
Data Source
AI summary
A method for representing an exposure to radiation of an examination area of an object caused by radiological imaging is proposed. A 3D image of the examination area of the object being examined is acquired. Absorption coefficients of the examination area are determined. The radiation exposure of the examination area caused by radiological imaging is determined and is represented in the 3D image. A termination criterion is queried. The radiation exposure of the examination area is iteratively determined till the termination criterion is fulfilled.