Imaging Plate Quality Assessment Using SNR and Edge Detection
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Solution Overview
Problem
Existing methods for assessing the quality of imaging plates in X-ray technology, particularly in dentistry, fail to provide a reliable indication of their storage capability and are unable to detect defects such as non-functional storage centers or mechanical damage accurately.
Innovation Solution
A method involving exposure, signal-to-noise ratio determination, and edge recognition is employed to assess the quality of imaging plates, using specific dose settings and image processing techniques like Canny algorithm and morphological operations to identify defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional inspection methods are used to assess imaging plate quality, then the assessment process is simple, but the reliability of storage capability determination is insufficient
Solution Approach 1:
The patent applies preliminary action by performing a test exposure on the imaging plate before actual use. This test exposure activates the storage centers in advance, allowing subsequent scan evaluation to accurately assess storage capability. The method determines quality metrics (signal-to-noise ratio, edge recognition) based on this preliminary test rather than relying on simple inspection or usage counting.
Solution Approach 2:
The patent replaces mechanical/visual inspection methods with automated scan evaluation. Instead of manually examining the imaging plate surface, the system uses a scanner to read the test exposure image and automatically calculates quality parameters such as signal-to-noise ratio and edge sharpness, providing objective and reliable quality assessment.
2Measurement precision
If manual inspection of scratches and usage counting are performed, then the process is straightforward, but accurate detection of storage quality defects is not achieved
Solution Approach 1:
The patent introduces a test exposure image as an intermediary to assess storage quality. Instead of directly examining the imaging plate for defects, the system creates a test image through controlled exposure and then analyzes this intermediary image for signal-to-noise ratio and edge characteristics. This intermediary approach enables precise detection of storage center functionality without direct physical examination.
Solution Approach 2:
The patent changes the assessment parameters from physical appearance (scratches, usage count) to functional parameters (signal-to-noise ratio, edge sharpness). By measuring these functional parameters derived from scan evaluation, the system achieves accurate detection of storage quality defects that are not visible through conventional inspection.
3Productivity
If imaging plates are reused multiple times, then resource utilization is improved, but storage capability deteriorates due to aging and mechanical damage
Solution Approach 1:
The patent implements feedback by continuously monitoring the imaging plate's storage capability through repeated test exposures and scan evaluations. Each quality assessment provides feedback on the current state of storage centers, allowing the system to track degradation over time and determine when the plate should be retired, optimizing both reusability and reliability.
Solution Approach 2:
The patent applies preliminary action by performing quality assessment before each reuse cycle. The test exposure and subsequent evaluation determine whether the imaging plate is still suitable for use, preventing degradation from compromising image quality. This proactive approach maximizes the number of usable cycles while maintaining reliable storage capability.
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 accurate assessment of imaging plate quality by quantifying defects through signal-to-noise ratio and edge recognition, providing a reliable quality rating comparable to expert evaluations.
Implementation Method 1
the imaging plate contains a latent X-ray image in the form of excited and non-excited storage centers
Implementation Method 2
the metastable states of the excited storage centers are brought to a state which rapidly relaxes with emission of a fluorescent light
Data Source
AI summary
The invention relates to a method for determining the quality of an imaging plate, comprising the steps of carrying out an exposure of the imaging plate, carrying out a scan of the imaging plate in order to determine an image, determining a signal-to-noise ratio of the image or/and carrying out edge recognition on the image and calculating a quality value of the imaging plate on the basis of the signal-to-noise ratio of the image or/and on the basis of the recognized edge structure. Furthermore, the invention relates to an imaging plate scanner for carrying out such a method.