Digital Radiographic Detector Noise Filtering Algorithm
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Solution Overview
Problem
Digital radiographic detectors face challenges in accurately distinguishing between x-ray beam detection and noise signals, leading to false beam detection events due to oscillating positive and negative signals.
Innovation Solution
Implementing an algorithm that monitors output signals from digital radiographic detectors to differentiate between x-ray impacts and noise events by detecting the absence or presence of negative signals, allowing for the filtering out of false beam detection events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the detector monitors all output signals including oscillating positive and negative signals, then the detection sensitivity is improved, but the false beam detection events increase
Solution Approach 1:
The patent segments the signal analysis process into distinct phases: monitoring positive signals during the integration period to detect x-ray events, then monitoring negative signals during the readout period to identify noise. This segmentation allows the system to apply different detection criteria for different signal types, improving both sensitivity and reliability.
Solution Approach 2:
Instead of using the conventional approach of detecting only positive signals to identify x-ray events, the patent inverts the logic by using the presence of negative signals as the primary indicator of noise. This inverted approach allows the system to filter false detections by checking for the absence of negative signals rather than relying solely on positive signal thresholds.
2Reliability
If the detector uses a threshold-based detection algorithm, then the false positive rate is reduced, but the detection precision deteriorates
Solution Approach 1:
The patent introduces negative signal monitoring as an intermediary verification step between positive signal detection and final beam event confirmation. This intermediary check provides additional information about signal authenticity without requiring changes to the primary detection threshold, thereby maintaining detection precision while reducing false positives.
Solution Approach 2:
The patent changes the detection parameter from solely monitoring signal magnitude (positive amplitude) to monitoring signal polarity (positive and negative excursions). This parameter change allows the system to distinguish between genuine x-ray events (which produce only positive signals) and noise events (which produce oscillating positive and negative signals) without adjusting threshold sensitivity.
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
Effectively filters out false beam detection events by accurately identifying noise sources, ensuring that only legitimate x-ray beam impacts are recorded, thereby improving the quality of radiographic images.
Implementation Method 1
A digital radiographic detector outputs positive read out signals that may oscillate. The presence of negative going portions of the read out signals may be used to determine that the detected positive signals are a result of noise, while an absence of the negative going portions may be used to determine that x-rays are impacting the detector.
Data Source
AI summary
A digital radiographic detector outputs positive read out signals that may oscillate. The presence of negative going portions of the read out signals may be used to determine that the detected positive signals are a result of noise, while an absence of the negative going portions may be used to determine that x-rays are impacting the detector.