Radiation Image Analysis Selecting Measurement Regions for Grid Signal Detection
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Solution Overview
Problem
Current methods for detecting periodic signals caused by grids in radiation imaging, such as those used in X-ray imaging, face challenges in precision and cost due to insufficient rejection conditions, especially under low radiation doses or partial shielding conditions, leading to high calculation costs and reduced detection accuracy.
Innovation Solution
An image analysis apparatus that sets and evaluates measurement regions based on statistical information to selectively detect periodic signals, reducing unnecessary calculations and improving detection precision by limiting measurement regions to those with higher signal-to-noise ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all measurement regions are evaluated based on the estimated average value of the image, then the detection precision of periodic signals is improved, but the calculation cost increases significantly
Solution Approach 1:
The image is divided into multiple measurement regions, and statistical information is calculated for each region. This segmentation allows selective evaluation of only certain regions based on their statistical properties, rather than uniformly processing the entire image, thus reducing calculation cost while maintaining detection precision.
Solution Approach 2:
Different measurement regions are evaluated based on their local statistical information (variance, standard deviation). Regions with higher statistical values indicating better signal quality are selected for periodic signal detection, while regions with low statistical values are excluded. This local quality assessment optimizes both detection precision and calculation efficiency.
2Device complexity
If the estimated average value of the image is used as the rejection condition, then the detection process is simplified, but the detection precision deteriorates under low radiation dose or partial shielding conditions
Solution Approach 1:
Statistical information (variance, standard deviation) is calculated for each measurement region before the periodic signal detection. This preliminary action identifies and selects regions with sufficient signal quality, ensuring that subsequent detection is performed only on suitable regions. This prevents wasted calculations on low-quality regions while maintaining overall detection precision.
Solution Approach 2:
Instead of using a fixed rejection condition based on the estimated average value of the entire image, the invention dynamically evaluates each measurement region using its own statistical parameters (variance, standard deviation). This parameter-based selection adapts to local image characteristics, maintaining detection precision across varying imaging conditions including low radiation dose and partial shielding scenarios.
Data Source
AI summary
An image analysis apparatus detects a periodic signal corresponding to an arrangement of a grid, which is required to reduce scattered radiation components from an object, from an image obtained by radiation imaging using the grid. The image analysis apparatus includes: a setting unit configured to set a plurality of regions on the image; an obtaining unit configured to obtain statistic information of pixel values corresponding to each of the plurality of regions of the image based on the image; a selection unit configured to select at least one measurement region from the plurality of regions based on the statistic information; and a detection unit configured to detect the periodic signal using image data of the selected measurement region.


