Bragg Scattering Detection in X-Ray Inspection
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Solution Overview
Problem
Conventional x-ray scanning systems struggle to accurately detect crystalline or polycrystalline materials, such as plastic explosives and drugs, due to their ability to scatter x-rays, leading to incomplete information about material composition and difficulty in distinguishing between organic and inorganic materials.
Innovation Solution
The method employs a broadband x-ray or gamma-ray source and a detector system capable of generating spectroscopic information across a wide range of energies, focusing on the absence of characteristic energy bands in the primary beam to identify characteristic Bragg scattering, allowing for the detection of target materials without the need for secondary detectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional x-ray scanning systems are used, then the system structure is simple, but the ability to detect crystalline or polycrystalline materials is poor due to x-ray scattering
Solution Approach 1:
The patent introduces a computational intermediary (software algorithm) that processes the transmitted x-ray signal to identify Bragg scattering patterns. Instead of adding physical detectors at scatter angles, the system uses software to analyze energy spectrum distortions caused by Bragg scattering, thereby improving crystalline material detection without significant hardware complexity increases
Solution Approach 2:
The patent replaces the mechanical/detector-based approach of placing secondary detectors at specific scatter angles with a computational method. The system substitutes physical measurement of scattered beams with mathematical analysis of energy spectrum changes in the transmitted beam, identifying characteristic Bragg scattering patterns through software processing
2Measurement precision
If dual-energy detectors are used to differentiate materials by atomic number, then some material differentiation is achieved, but the ability to identify specific crystalline materials is insufficient
Solution Approach 1:
The patent performs preliminary identification of potential crystalline materials by detecting characteristic Bragg scattering energy patterns before conducting full material analysis. The system first identifies the presence of crystalline structures through energy spectrum analysis, then can proceed with more detailed compositional analysis if needed
Solution Approach 2:
The patent changes the approach from measuring only transmission intensity to analyzing the energy spectrum parameters of transmitted x-rays. By examining changes in energy distribution and identifying characteristic Bragg scattering energies, the system extracts additional material information without requiring multiple detectors
3Reliability
If secondary detectors are placed at scatter angles to detect Bragg scattering, then crystalline material detection is improved, but the device complexity and false positives from superimposed objects increase
Solution Approach 1:
The patent extracts the detection function from physical secondary detectors and relocates it to computational analysis of the transmitted beam. By taking out the need for complex detector arrangements and performing Bragg scattering detection through software analysis of energy spectrum changes, the system maintains high detection reliability while reducing device complexity
Solution Approach 2:
The patent makes the primary transmitted beam detector serve multiple functions: it simultaneously measures transmission intensity for density analysis and energy spectrum changes for crystalline material identification. This multi-functional approach eliminates the need for separate secondary detectors while maintaining comprehensive material characterization capability
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 enables more precise identification of materials by analyzing reductions in transmitted signal intensity at specific frequency bands, providing detailed information about material composition and reducing false positives from superimposed objects, thereby improving the detection of crystalline and polycrystalline materials.
Implementation Method 1
focusing on the absence of characteristic energy bands in the primary beam to identify characteristic Bragg scattering
Implementation Method 2
X-Ray absorption has been used as the basis for screening objects to create some form of representational image of the contents or components thereof
Data Source
Figure 1
Figure 2a~2b
Figure 3
AI summary
A method of and apparatus for obtaining radiation transmission data and especially an image of an object which involves providing a radiation source such as an x-ray or gamma-ray source and a radiation detector system such as an x-ray or gamma-ray detection system spaced therefrom to define a scanning zone therebetween, the detector system being capable of detecting and collecting spectroscopically resolvable information about incident radiation; collecting a dataset of information about radiationincident at the detector and hence transmissivity of an object in the scanning zone at at least one and preferably a plurality of scanning positions from radiation transmitted through the object and received at the detector system; resolving each such dataset spectroscopically across a plurality of frequency bands within the spectrum of the source; wherein at least one of the said plurality of frequency bands corresponds to a characteristically scattered wavelength of a target species to be identified, andwherein the absence of or substantial reduction in a transmitted signal intensity at the frequency band is interpreted as the presence of the said target species. The resolved data is preferably resolved as one or more images.