Dead pixel and bad line identification and correction method of CT image, electronic equipment and storage medium
By calculating the two-dimensional relative gradient distribution in the row and column direction of the CT image detector and performing noise normalization processing, bad points and bad lines on the CT image are identified, which solves the problem that is difficult to identify in conventional technologies, improves the recognition accuracy and ensures the real-timeness of the image.
CN119722561APending Publication Date: 2025-03-28BEIJING TINAVI MEDICAL TECH
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Patent Information
- Application Number
- CN202311271314.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-28
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
During the CT image scanning process, the high noise and the influence of scanning the edges of the object make it difficult for conventional image processing techniques to identify bad points and bad lines on the CT image in real time.
Method used
By obtaining the CT image scanned at the preset scanning projection angle, the two-dimensional relative gradient distribution in the row direction and column direction of the detector are calculated, and noise normalized to identify bad lines and bad points.
Benefits of technology
It improves the accuracy of recognition of bad lines and bad points, reduces the impact of noise and scanned object edges on recognition, and is suitable for the reconstruction of existing three-dimensional CT images, ensuring the real-time image.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a CT image dead pixel and dead line identification method, a CT image dead pixel and dead line correction method and device, electronic equipment and a storage medium, the method reduces the influence of unclear scanned object edge on dead pixel and dead pixel identification by calculating two-dimensional relative gradient distribution in the row direction and the column direction of a detector, and improves the accuracy of defective pixel and dead pixel identification by performing normalization processing on noise. The influence of noise on bad line and dead pixel recognition is reduced, the accuracy of bad line and dead pixel recognition is improved on the basis that existing three-dimensional CT image reconstruction is not changed, and a solid data foundation is laid for subsequent three-dimensional CT image reconstruction.
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