Grid Quality Judgment via Frequency Spectrum Analysis
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Solution Overview
Problem
Existing grid quality judging methods are time-consuming and inefficient, as they require multiple imaging operations and analyses to detect fluctuations in grid density and adhesive-related periodic structures, which hinder diagnosis due to unresolved frequency components in radiation images.
Innovation Solution
A grid quality judging apparatus and method that performs frequency analysis on radiation images to identify peaks in the frequency spectrum, measuring peak widths and comparing them to harmonic frequencies to determine grid quality, allowing for rapid assessment of grid usability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple imaging operations and analyses are performed to detect grid density fluctuations and adhesive-related periodic structures, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent segments the frequency spectrum into multiple bands and assigns different evaluation criteria to each band. High-frequency components are evaluated for grid density fluctuations, while low-frequency components are evaluated for adhesive-related periodic structures. This segmentation allows comprehensive quality assessment through a single imaging operation rather than multiple sequential analyses.
Solution Approach 2:
The patent transforms the quality assessment from a time-consuming multi-step process into a single spectral analysis by transitioning to the frequency domain. By applying Fourier transform to the grid image and analyzing frequency components, the system evaluates multiple quality aspects simultaneously in one operation, effectively adding a frequency dimension to the assessment process.
2Object-generated harmful factors
If filtering processes are administered to remove frequency components of grid patterns, then periodic patterns are reduced, but unnecessary periodic structures caused by manufacturing errors and adhesive agents remain
Solution Approach 1:
The patent applies different evaluation standards to different frequency bands rather than using a uniform filtering approach. High-frequency components corresponding to grid patterns are evaluated separately from low-frequency components corresponding to manufacturing defects and adhesive structures. This local quality assessment allows selective identification of harmful periodic patterns while preserving diagnostically useful information.
Solution Approach 2:
The patent changes the assessment parameter from spatial domain image filtering to frequency domain spectral analysis. By transforming the problem into the frequency domain, the system can identify and evaluate periodic structures at different frequencies without applying blanket filtering, thus removing harmful periodic patterns while maintaining reliability for diagnostic purposes.
3Reliability
If grid density is increased to improve scattered ray removal, then contrast of radiation image is improved, but periodic patterns such as moire patterns become more prominent
Solution Approach 1:
The patent evaluates only specific frequency components rather than applying uniform assessment to the entire spectrum. By focusing evaluation on high-frequency components for grid density assessment and separately evaluating low-frequency components for manufacturing defects, the system can tolerate higher grid densities that improve contrast while identifying and flagging harmful periodic patterns through spectral analysis.
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 quick and accurate judgment of grid quality by identifying unnecessary periodic structures and fluctuations, improving diagnostic imaging by filtering out unwanted frequency components.
Implementation Method 1
a frequency analyzing means for performing frequency analysis on a radiation image that includes a periodic pattern caused by a grid, to obtain a frequency spectrum of the radiation image
Data Source
AI summary
An image obtaining section obtains a radiation image that includes a periodic pattern of a grid. A frequency analyzing section performs frequency analysis on the radiation image to obtain a frequency spectrum of the radiation image. A peak determining section determines a peak within the frequency spectrum to be a target of processing. A first judging section measures the width of the peak which is the target of processing, and judges the quality of the grid based on the measured width of the peak.