Radiation Detection Pixel Segmentation for AEC Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing radiation detection apparatuses face issues with temporal and spatial resolution due to unnecessary operations and incorrect determination of detection pixels, leading to inefficient automatic exposure control (AEC) in regions of interest.
Innovation Solution
A radiation detection system with detection units that generate two-dimensional information on light, pressure, or temperature, allowing the control unit to differentiate between monitoring target and non-monitoring target detection pixels, thereby optimizing signal reading and reducing unnecessary operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all detection pixels are read as monitoring target pixels, then the AEC operation can be performed across the entire imaging region, but temporal resolution deteriorates due to needless operations on non-relevant regions
Solution Approach 1:
The imaging region is segmented into regions of interest and non-regions of interest based on two-dimensional information from detection units. Only detection pixels corresponding to regions of interest are designated as monitoring target pixels, while other pixels are designated as non-monitoring target pixels. This segmentation eliminates needless reading operations on non-relevant regions, thereby improving temporal resolution without compromising AEC measurement precision in the regions that matter.
2Reliability
If detection pixels are determined after radiation irradiation, then the AEC determination can be made based on actual irradiation data, but spatial resolution deteriorates because the determination includes information from non-relevant regions
Solution Approach 1:
The determination of monitoring target detection pixels is performed in advance before radiation irradiation by using two-dimensional information from detection units (such as light, pressure, or temperature data). This preliminary identification of regions of interest ensures that only relevant pixels are designated for monitoring, thereby achieving both high reliability in AEC determination and high spatial resolution by excluding non-relevant regions from the determination process.
3Loss of information
If all detection pixels are monitored, then comprehensive radiation information is obtained, but power consumption increases due to processing unnecessary data from all regions
Solution Approach 1:
The system extracts and processes only the essential radiation information from monitoring target detection pixels that correspond to regions of interest. By taking out and excluding non-monitoring target pixels from the processing pipeline, the system maintains comprehensive radiation information for diagnostically important regions while significantly reducing power consumption by avoiding processing of unnecessary data from all regions.
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 enhances the temporal and spatial resolution of AEC operations by excluding non-relevant regions, improving accuracy and reducing power consumption.
Implementation Method 1
a detection unit configured to correspond to a region of the plurality of detection pixels and detect one of light, pressure, capacitance, and temperature as two-dimensional information
Implementation Method 2
Each pixel includes a conversion element for converting radiations into an electric charge
Data Source
AI summary
An apparatus includes a plurality of detection pixels configured to generate a signal according to a radiation irradiation amount to obtain radiation irradiation information, a detection unit configured to correspond to a region of the plurality of detection pixels and detect one of light, pressure, capacitance, and temperature as two-dimensional information, and a control unit configured to determine a monitoring target detection pixel and a non-monitoring-target detection pixel among the plurality of detection pixels based on the two-dimensional information detected by the detection unit, read the signals of detection pixels of a row in which the monitoring target detection pixel is included.