Radiographic Video Processing Device Offset Correction for Noise
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Solution Overview
Problem
Radiographic image capture devices experience disruption and unstable video image quality when increasing the binning number, leading to feed-through noise and reduced dynamic range, which affects the display of images.
Innovation Solution
A radiographic video processing device that acquires gradation signals from a radiation detector with a matrix formation of pixels and controls the use of these signals to improve image quality by using higher density range signals initially and gradually shifting to a lower range after a predetermined frame, preventing disruption and enhancing visual interpretability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the binning number is increased to improve signal-to-noise ratio and reduce readout time, then productivity is improved, but feed-through noise increases and dynamic range decreases
Solution Approach 1:
The patent applies preliminary action by performing offset correction using a predetermined offset value before the actual image readout occurs. The offset correction section corrects the image data using this pre-prepared offset value, which prevents feed-through noise from affecting the final image quality. This preliminary correction approach ensures that the harmful feed-through noise is eliminated before it can degrade the image, while still maintaining the benefits of high-speed binning readout.
2Measurement precision
If the binning number is increased to improve signal-to-noise ratio, then measurement precision is improved, but dynamic range is reduced
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the offset correction value based on the binning number. When the binning number changes, the system selects an appropriate offset value from storage that corresponds to the current binning configuration. This allows the system to optimize the offset correction for each binning level, thereby maintaining both high signal-to-noise ratio and adequate dynamic range by preventing offset-related degradation specific to each binning configuration.
3Productivity
If video image capture is performed at high frame rate to improve productivity, then productivity is improved, but image quality becomes unstable due to offset fluctuations
Solution Approach 1:
The patent applies preliminary action by acquiring and storing offset values in advance at different binning numbers and frame rates. The offset correction section then uses the appropriate pre-acquired offset value based on current operating conditions, rather than attempting real-time correction during high-speed video capture. This preliminary preparation ensures stable image quality even at high frame rates, as the offset correction is based on predetermined values that account for the specific capture conditions.
4Measurement precision
If the number of pixels for charge combination is increased to improve signal detection, then measurement precision is improved, but device complexity increases due to switching element control
Solution Approach 1:
The patent applies self-service by implementing automatic offset correction that operates independently based on the current binning number and frame rate. The offset correction section automatically selects the appropriate predetermined offset value and applies it to the image data without requiring complex real-time control of the switching elements. This self-service approach simplifies the control system while maintaining high measurement precision, as the offset correction function autonomously adapts to different binning configurations.
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
The solution effectively prevents disruption in displayed images and improves video image quality by stabilizing noise cancellation and dynamic range, ensuring smooth transitions during changes in image capture conditions.
Implementation Method 1
each pixel including a sensor portion that generates charges according to irradiated radiation
Data Source
AI summary
A radiographic video processing device includes: an acquisition section that acquires gradation signals expressing charges; and a control section that, if capture of a video image formed from plural frames is being performed with a radiation detector, and a number of the pixels, from which charges are combined and read by switching elements included in adjacent pixels of the radiation detector, has been increased, effects control such that, from a frame at a time of the increase up until a predetermined frame, the gradation signals distributed in a higher density range than that for frames subsequent to the predetermined frame are used as image data.