Detector Quality Factor Weighting for CT Image Artifact Reduction
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Solution Overview
Problem
In CT imaging systems with a large number of detector channels, the probability of detector channel and Data Acquisition System (DAS) failure or degradation increases, leading to image artifacts and significant degradation in image quality, making it economically unfeasible to replace all failed components.
Innovation Solution
Assigning a quality factor to each detector cell based on its performance, which is used to reconstruct images by weighting error terms in the cost function, allowing for accurate estimation of missing projection samples and integration of detector status into the reconstruction process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If the number of detector channels is increased to achieve larger volume coverage, then imaging capability is improved, but the probability of detector channel and DAS failure increases
Solution Approach 1:
The patent changes the parameter of detector channel status by introducing quality factors (Q-factors) that dynamically reflect the operational state of each detector channel. These Q-factors are used to weight the contribution of each channel in the image reconstruction process, allowing the system to adapt to varying detector performances without requiring physical replacement of failed channels.
2Measurement precision
If failed detector channels are replaced to maintain image quality, then image quality is improved, but system downtime and cost increase
Solution Approach 1:
The patent enables the imaging system to self-correct by using quality factors to automatically compensate for failed or degraded detector channels during the image reconstruction process. The system identifies problematic channels through quality factor assessment and adjusts the reconstruction algorithm to weight neighboring channels higher, thereby maintaining image quality without requiring manual intervention or system shutdown for component replacement.
3Measurement precision
If all failed detector channels are replaced to eliminate image artifacts, then image quality is improved, but cost increases
Solution Approach 1:
Instead of replacing expensive, complex detector channels and DAS components, the patent uses a software-based approach where quality factors serve as virtual placeholders for failed hardware. This allows the system to continue operating with degraded components by adjusting the reconstruction algorithm, effectively replacing physical replacement with a more economical computational solution.
Data Source
AI summary
A method for improving images of an imaging system including a plurality of detector cells includes assigning a quality factor for each detector cell.