X-ray Exposure Parameter Optimization via Attenuation Estimation
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Solution Overview
Problem
Medical devices, such as X-ray imaging devices, face challenges in adjusting exposure parameters to achieve diagnostic objectives without subjecting patients to excessive radiation, particularly when the device cannot acquire sufficient attenuation in the test subject.
Innovation Solution
A parameter optimization method and apparatus that determine an estimated attenuation amount of rays passing through a test subject based on contour information, initial relative position, and real-time position information of the examination component, allowing for the update of initial exposure parameters to improve image quality and reduce radiation exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple exposures are performed to obtain multiple medical images for adjusting exposure parameters, then the diagnostic objective can be achieved, but the number of invalid exposures increases causing resource wastage and excessive radiation exposure to the test subject
Solution Approach 1:
The patent applies preliminary action by performing a pre-exposure step before the actual diagnostic exposure. During this pre-exposure, the medical device captures preliminary image data to determine the actual attenuation of the test subject. Based on this attenuation information, the system calculates and sets optimal exposure parameters in advance, ensuring that the subsequent diagnostic exposure is performed with correctly configured parameters, thereby avoiding the need for multiple retry exposures and minimizing radiation exposure.
2Measurement precision
If multiple exposures are performed to obtain multiple medical images for adjusting exposure parameters, then the diagnostic objective can be achieved, but the operation time increases
Solution Approach 1:
The system performs preliminary measurement of attenuation during a pre-exposure phase, then automatically calculates optimal exposure parameters before the actual diagnostic imaging. This preliminary action eliminates the need for manual trial-and-adjustment processes, allowing the operator to set exposure parameters once based on pre-acquired attenuation data, thereby significantly reducing the time required for multiple exposure attempts and manual parameter adjustments.
Solution Approach 2:
The patent implements feedback by using the attenuation information obtained from pre-exposure or preliminary imaging to automatically adjust and optimize exposure parameters. The system continuously monitors the actual attenuation of the test subject and uses this feedback to calculate the most appropriate exposure settings, ensuring that subsequent diagnostic exposures are performed with optimized parameters, thereby reducing the need for repeated exposures and minimizing operation time.
3Measurement precision
If manual adjustment of exposure parameters is performed based on experience and multiple medical images, then the diagnostic objective can be achieved, but the device complexity and operational difficulty increase
Solution Approach 1:
The patent applies self-service by enabling the medical device to automatically determine attenuation from pre-exposure data, calculate optimal exposure parameters, and configure itself without requiring manual intervention. The system performs self-measurement of attenuation characteristics and self-adjustment of exposure parameters based on calculated values, eliminating the need for operators to manually adjust parameters based on experience or review multiple images, thereby greatly simplifying the operation process.
Solution Approach 2:
The patent replaces the manual mechanical adjustment process with an automated computational system. Instead of requiring operators to manually adjust exposure parameters based on visual inspection of multiple images and personal experience, the system uses computational algorithms to automatically calculate optimal parameters based on attenuation data from pre-exposure, substituting human judgment and manual manipulation with automated electronic control and mathematical computation.
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 solution enables more accurate determination of initial exposure parameters, reducing the number of invalid exposures, shortening operation time, and minimizing patient radiation exposure, thereby enhancing the efficiency and safety of medical device operations.
Implementation Method 1
determining an estimated attenuation amount of rays passing through the test subject
Data Source
AI summary
The present disclosure relates to parameter optimization. A parameter optimization method may include acquiring an initial exposure parameter usable by the medical device for performing exposure; acquiring contour information of a test subject and initial relative position information of the test subject relative to the examination component; determining an estimated attenuation amount of rays passing through the test subject based on the initial relative position information, contour information of the test subject, and real-time position information of the examination component, the estimated attenuation amount representing the degree of attenuation of rays from the radiation source after passing through the test subject, and the real-time position information of the examination component being position information of the examination component acquired in real time; and updating the initial exposure parameter based on the estimated attenuation amount. The method can reduce the number of exposures and improve the operating procedure and efficiency.