Optical Path Movable Component Abnormality Detection Without Extra Scans
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Solution Overview
Problem
Existing methods for detecting abnormalities in movable components of optical paths in medical imaging devices, such as CT scans, often require additional scanning or image reconstruction, leading to inefficiencies and increased costs.
Innovation Solution
A method utilizing existing air correction charts to detect abnormalities in movable components by calculating differences, applying low-pass and high-pass filtering, and comparing signals with a threshold, without the need for additional scanning or image reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional scanning or image reconstruction is performed to detect abnormalities in movable components, then detection capability is improved, but testing time and production costs increase
Solution Approach 1:
The patent applies preliminary action by using air correction charts that are obtained in advance during normal CT operation to detect abnormalities in movable components. Instead of performing additional scanning specifically for abnormality detection, the system reuses correction data that has already been acquired, thereby eliminating the need for separate detection scanning and reducing testing time on the production line
Solution Approach 2:
The system applies self-service by enabling the CT system to automatically detect abnormalities in movable components using its own existing air correction charts without requiring external specialized equipment or additional imaging procedures. The detection is performed by processing routinely acquired correction data through specific algorithms, allowing the system to self-diagnose component abnormalities
2Measurement precision
If additional scanning is performed to detect abnormalities in movable components, then detection accuracy is improved, but production costs increase
Solution Approach 1:
The patent applies universality by making the air correction charts serve multiple functions: they are used both for their original purpose of correcting image artifacts and for the additional function of detecting abnormalities in movable components. This multi-functionality eliminates the need for separate detection procedures and reduces production costs while maintaining detection accuracy
Solution Approach 2:
The system applies self-service by enabling the CT system to automatically detect abnormalities in movable components using its own existing air correction charts without requiring external specialized equipment or additional imaging procedures. The detection is performed by processing routinely acquired correction data through specific algorithms, allowing the system to self-diagnose component abnormalities
3Productivity
If existing air correction charts are used to detect abnormalities without additional scanning, then testing time is reduced, but detection capability must be sufficient to identify all abnormality types
Solution Approach 1:
The patent applies parameter changes by transforming the air correction chart data through specific signal processing operations including differencing, low-pass filtering, and high-pass filtering. These parameter transformations enhance the detectability of abnormalities by emphasizing relevant features while suppressing noise, thereby maintaining high detection sensitivity without requiring additional scanning
Solution Approach 2:
The patent applies partial or excessive action by applying aggressive filtering operations (low-pass and high-pass filtering) to the air correction chart data. These filtering operations excessively process the original data to extract abnormality signals, ensuring that even subtle abnormalities are detected while maintaining high productivity
Data Source
AI summary
A method for detecting an abnormality in a movable component in an optical path. The method includes: acquiring a difference Diff(k, l, seg, r) between air correction charts with and without the movable component; determining a second difference DIFF′(k, l, r) according to the difference Diff(k, l, seg, r); subjecting the second difference DIFF′(k, l, r) to low-pass filtering to obtain a smooth signal Ssmooth; suppressing the influence of module response difference according to the smooth signal Ssmooth to obtain a reference signal S(k, l, r); subjecting S(k, l, r) to high-pass filtering in a channel direction to obtain a high-pass signal SHP; comparing the high-pass signal SHP with a threshold T, to determine an abnormality in the movable component.