Dynamic Defect Masking in X-Ray Detector Calibration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Medical image processing apparatuses, such as PCCT systems, face a challenge in maintaining the number of unmasked detection elements due to fluctuating defective detection results during calibration, leading to reduced availability of detection results and increased noise in image data.
Innovation Solution
The apparatus acquires multiple defect maps at different timings, generates an interpolation target map to identify defective detection elements, and uses surrounding detection results to interpolate and generate CT image data, thereby increasing the number of unmasked detection elements and reducing noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the medical image processing apparatus permanently masks the detection results of defective detection elements, then image artifacts are reduced, but the number of available detection elements decreases
Solution Approach 1:
The system dynamically adjusts the masking status of detection elements based on their performance across multiple calibration cycles. Detection elements that consistently show defects are masked, while those with fluctuating performance are temporarily masked and can be unmasked when functioning normally, creating a dynamic rather than static masking approach
Solution Approach 2:
The system changes the masking parameter (masked/unmasked state) based on calibration results over time. By monitoring detection element performance across multiple calibration cycles and adjusting the masking status accordingly, the system optimizes between using sufficient detection elements and maintaining image quality
2Manufacturing precision
If all defective detection elements are masked, then image artifacts are minimized, but the number of unmasked detection elements is reduced
Solution Approach 1:
Instead of masking all detected defective elements permanently, the system applies partial masking based on the severity and consistency of defects. Elements with intermittent or minor defects may remain unmasked or be temporarily masked, allowing the system to maintain higher productivity while still achieving acceptable image quality through selective masking
3Reliability
If detection elements with fluctuating performance are permanently masked, then image reliability is improved, but the number of available detection elements decreases
Solution Approach 1:
The system implements dynamic masking for detection elements with fluctuating performance. These elements are masked only during calibration cycles where they exhibit defective behavior, and can be unmasked when functioning normally. This dynamic approach maintains detection accuracy when needed while preserving the availability of detection elements for normal operation
Solution Approach 2:
The system performs periodic calibration to monitor the performance of detection elements with fluctuating results. Through regular calibration cycles, the system identifies when these elements are actually defective and applies masking only during those specific periods, rather than permanent masking, thus maintaining both reliability and availability
Data Source
AI summary
A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires, from a storage unit that stores defect maps indicating an arrangement of defective detection elements in an X-ray detector including a plurality of detection elements that detect X-rays, a plurality of the defect maps at different timings, generates an interpolation target map regarding the positions of some of the detection elements included in any of the plurality of the acquired defect maps, and generates interpolated data, in which detection results by the X-ray detector are interpolated, on the basis of the generated interpolation target map.


