Radiation Image Detector Noise Correction via Group Segmentation
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Solution Overview
Problem
Conventional radiation image detectors face challenges in effectively eliminating noise components, particularly those generated by the application-specific integrated circuits (ASICs) and external vibrations, which can lead to false images and diagnosis errors.
Innovation Solution
A radiation image detector is designed with a signal processing circuit, noise detecting section, and subtractor, where noise detecting elements are integrated within each group of pixels to detect and subtract noise signals, ensuring noise correction is performed specifically for each group, using analog or digital subtraction methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If dummy pixels are provided and their output signal is uniformly subtracted from effective pixels, then noise from TFT scanning line potential fluctuation is reduced, but noise from ASIC individual differences and vibrations cannot be eliminated
Solution Approach 1:
The detector is divided into multiple groups, with each group containing pixels and a dedicated signal processing circuit (ASIC). Noise detecting elements are also provided for each group, allowing noise correction to be performed independently for each group based on its specific noise characteristics, thereby addressing ASIC individual differences and vibration-induced noise that vary across groups.
Solution Approach 2:
Noise detecting elements are provided in advance for each group to detect noise signals before they affect the effective pixels. The noise signals are detected and subtracted proactively, preventing noise from ASIC individual differences and vibrations from degrading the image quality of effective pixels.
2Object-affected harmful factors
If filter circuit and buffer circuit are connected between FPD and bias supply, then bias voltage fluctuation noise is eliminated, but ASIC-generated noise and vibration noise cannot be addressed
Solution Approach 1:
Noise detecting elements serve as intermediary components that detect noise signals from multiple sources (ASIC individual differences, vibrations) before they reach the effective pixels. The detected noise signals are then subtracted from the effective pixel signals, acting as a mediator to eliminate various noise components that cannot be addressed by traditional filter circuits.
3Ease of operation
If noise correction is performed uniformly across all pixels, then processing simplicity is maintained, but individual ASIC noise characteristics cannot be compensated
Solution Approach 1:
The detector is divided into multiple groups, with each group containing pixels and a dedicated signal processing circuit (ASIC). Noise detecting elements are also provided for each group, allowing noise correction to be performed independently for each group based on its specific noise characteristics, thereby addressing ASIC individual differences and vibration-induced noise that vary across groups.
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 allows for the effective elimination of noise components, improving image quality by accounting for individual differences among ASICs and reducing the impact of external vibrations, thereby enhancing diagnostic accuracy.
Implementation Method 1
Each of the pixels generates signal charges by an amount corresponding to an amount of radiation
Data Source
AI summary
A FPD includes a signal processing circuit and noise detecting elements provided for each group containing plural columns of pixels. The signal processing circuit converts signal charges accumulated in the pixels into electric signals and outputs the electric signals. Each of the noise detecting elements has the same structure as that of the pixel, but does not have a function of accumulating the electric charges. A voltage signal of the noise detecting element represents noise components. A subtractor subtracts the voltage signal of the noise detecting elements from a voltage signal of the pixels which is outputted from the noise processing circuit.