Radiation Imaging Pixel Crosstalk Correction via Segmentation
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Solution Overview
Problem
Existing radiation imaging systems face challenges in efficiently correcting for crosstalk between pixels in flat panel detectors, leading to significant degradation in image quality due to the need to correct all surrounding pixel data, which increases processing load.
Innovation Solution
A radiation imaging apparatus with a detection unit, calculation unit, and correction unit that calculates and applies crosstalk ratios between adjacent pixels with signal lines in between, allowing for targeted correction of affected pixel data rather than all surrounding data, thereby reducing image quality degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all pixel data on surrounding pixels is corrected to reduce crosstalk, then image quality is improved, but processing load becomes enormous
Solution Approach 1:
The patent segments the correction process by dividing pixels into two categories: pixels affected by crosstalk (requiring correction) and pixels not affected (excluded from correction). This is achieved by identifying pixels whose signal lines are adjacent to other pixels and would be affected by crosstalk during readout. By applying correction only to the segmented subset of affected pixels rather than all surrounding pixels, the processing load is significantly reduced while maintaining image quality improvement where actually needed.
2Object-affected harmful factors
If correction processing is applied to all surrounding pixels, then crosstalk is reduced, but correction efficiency decreases
Solution Approach 1:
The patent applies local quality by making the correction processing spatially selective rather than uniform across all pixels. Specifically, correction is applied locally only to pixels that are actually affected by crosstalk (those with adjacent signal lines), while pixels not susceptible to crosstalk are excluded from correction processing. This localized approach maintains effective crosstalk reduction in affected areas while dramatically improving overall correction efficiency by avoiding unnecessary processing of unaffected pixels.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach efficiently corrects pixel data affected by crosstalk, improving image quality by accurately calculating crosstalk ratios and applying corrections based on these calculations, reducing the need for extensive processing and enhancing image uniformity.
Implementation Method 1
a conversion element that is an element made of amorphous silicon or monocrystalline silicon and configured to convert incident radiation into an electrical signal
Data Source
AI summary
An apparatus includes a detection unit including a plurality of two-dimensionally arranged pixels with a plurality of lines located between adjacent pixels, configured to detect an incident radiation and output signals related to a radiation image, a calculation unit configured to calculate a crosstalk ratio related to crosstalk occurring between the adjacent pixels with the plurality of lines therebetween in the detection unit, and a correction unit configured to make a correction to pixel data on a pixel affected by the crosstalk among a plurality of pieces of pixel data constituting the radiation image based on the crosstalk ratio.