X-ray Competency-Based Dose Parameter Selection
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Solution Overview
Problem
Clinical practice lacks a clear definition of a Contrast to Noise Ratio (CNR) threshold for x-ray images, leading to increased interpretation time, risk of misinterpretation, and mental stress due to low image quality, which complicates radiation dose management in x-ray examinations.
Innovation Solution
A method to determine user-specific or user group-specific competency relationships for selecting dose-related recording parameters, such as CNR, by displaying x-ray image datasets with varying parameters and recording user interactions to establish quantitative competency relationships, allowing for optimized image quality and reduced patient dose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If x-ray radiation dose is reduced to minimize patient exposure, then radiation protection is improved, but image quality deteriorates leading to lower CNR and increased interpretation time
Solution Approach 1:
The patent applies parameter changes by systematically varying recording parameters (such as tube voltage, tube current, exposure time) to establish quantitative relationships between these parameters and CNR values. Through controlled experiments, the system determines optimal parameter combinations that achieve adequate image quality at minimized radiation doses, directly resolving the contradiction between dose reduction and image quality maintenance
Solution Approach 2:
The patent implements feedback mechanisms by measuring actual CNR values from recorded images and using this information to adjust recording parameters for subsequent images. The system continuously monitors image quality metrics and radiations dose levels, providing feedback loops that enable dynamic optimization of the balance between radiation exposure and diagnostic image quality
2Adaptability or versatility
If CNR threshold is not clearly defined, then flexibility in examination protocols is maintained, but interpretation time and risk of misinterpretation increase
Solution Approach 1:
The patent applies preliminary action by pre-determining CNR threshold values and optimal recording parameter combinations through prior experiments and competency assessments. These pre-established parameters are stored in databases and automatically applied during examinations, eliminating the need for real-time threshold decisions and reducing interpretation time while maintaining diagnostic accuracy
Solution Approach 2:
The system utilizes parameter changes by establishing specific CNR threshold values for different examination types and anatomical regions. These quantified parameters provide clear guidance for both image acquisition and interpretation, transforming the vague concept of adequate image quality into measurable, actionable criteria that reduce interpretation time and variability
3Stability of the object's composition
If fixed organ programs with empirically defined CNR are used, then standardization is achieved, but precision is reduced due to influence of multiple factors on user feedback
Solution Approach 1:
The patent applies self-service by enabling the system to automatically determine optimal CNR thresholds and recording parameters through objective measurements and automated analysis, rather than relying on subjective user feedback. The system performs self-calibration and optimization, reducing the influence of individual user biases and experiences on the standardized parameters
Solution Approach 2:
The patent replaces the mechanical system of empirical, experience-based parameter setting with an automated, measurement-based system. Objective instruments and algorithms substitute for subjective human judgment, providing more precise and consistent determination of CNR thresholds and optimal recording parameters across different users and examinations
Data Source
AI summary
A method for determining at least one competency relationship to be used as a basis for selection of a dose-related recording parameter for an examination process, in particular the recording of a timed series of x-ray images as an x-ray image dataset, of a patient at an x-ray device, between at least one competency value describing a user-specific or user-group specific user competency in respect of the evaluation of recorded x-ray images and at least the at least one recording parameter. The method includes displaying a plurality of x-ray image datasets corresponding to different recording parameters and/or having different image contents described by image content parameters; recording, for each x-ray image dataset, at least one measured value describing the competency value based on an interaction of a user with an operating device assigned to a display device; and determining, based on the measured values, the competency relationship describing the recording parameter-dependent competency value.