X-Ray Energy Binning for Real-Time Material Classification
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Solution Overview
Problem
Current X-ray imaging systems for security screening lack effective energy separation, leading to inaccurate material classification due to fluctuations in X-ray energy and intensity, and require costly, complex configurations that are not deployable in harsh environments.
Innovation Solution
Implement a method using a computer-implemented system with energy-resolving bins that dynamically adjust based on photon counts, allowing for real-time modulation of energy thresholds and bin configurations to enhance material classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple stacked detectors are used to measure high-energy and low-energy contributions, then material classification capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent segments the energy spectrum into multiple bins (e.g., 5-10 bins) using a single detector type, allowing differentiation of material densities at various energy ranges without requiring multiple stacked detectors. This maintains material classification capability while reducing system complexity.
Solution Approach 2:
A single detector configuration is designed to perform multiple functions by measuring photons across different energy bins, eliminating the need for separate dedicated detectors for different energy ranges. The same detector array handles both low-energy and high-energy measurements simultaneously.
2Measurement precision
If dual-energy mode is used with pulsed sources, then material classification is improved, but productivity decreases due to interlaced beam requirements
Solution Approach 1:
The patent enables continuous single-energy X-ray beams to be processed by creating multiple energy bins from the continuous spectrum. This eliminates the need to interrupt the beam for dual-energy pulsing, maintaining continuous scanning capability while achieving material classification through energy bin analysis.
Solution Approach 2:
The continuous X-ray spectrum is segmented into multiple energy bins through software processing, allowing the system to analyze different energy ranges simultaneously from a single continuous beam pass, thereby maintaining high scan throughput.
3Device complexity
If fixed energy thresholds are used, then system simplicity is maintained, but adaptability to different scan modes and objects is reduced
Solution Approach 1:
The patent implements dynamic energy bin thresholds that can be automatically adjusted based on scan mode, object type, and detected photon energy distributions. The system adapts bin boundaries in real-time to optimize material classification for different inspection scenarios without manual reconfiguration.
Solution Approach 2:
The system uses feedback from detected photon counts and energy distributions to automatically adjust energy bin thresholds. This feedback mechanism allows the system to optimize its performance for different scan modes and objects while maintaining operational simplicity through automated adaptation.
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
Improves material classification accuracy and reduces system complexity and cost by optimizing energy separation, enabling deployment in cargo and vehicle inspection modalities.
Implementation Method 1
The detectors are inorganic scintillating crystals, with decay times on the order of approximately 1 μs (micro-second). The optical signal generated through the scintillation process is converted to an electrical signal through a photodiode
Implementation Method 2
The optical signal generated through the scintillation process is converted to an electrical signal through a photodiode
Implementation Method 3
X-rays are attenuated, following the relationship outlined by the Beer Lambert equation, such that the X-ray signal on the far side of the object under inspection reflects the density composition of the object's components
Data Source
AI summary
X-ray scanning systems include a source operating in first and second modes and a detector for receiving X-ray photons released from a first object and a second object during the first mode and second mode, respectively. A processor implements a first binning scheme in response to the first mode to determine a first count of X-ray photons. When the source is triggered to operate in the second mode, the processor generates a second binning scheme. An object is swept once in the second mode and the processor determines a second count of X-ray photons using the second binning scheme. If two or more lower energy-resolving bins in the second binning scheme have photon counts of zero, the processor generates a third binning scheme. The object is continued to be scanned in the second mode and the processor determines a third count of X-ray photons using the third binning scheme.


