Dual-Energy X-ray Material Recognition via Layered Synthesis
Solution Overview
Problem
X-ray inspection systems for security and nondestructive testing struggle to recognize materials situated behind each other in the beam path due to their fixed X-ray sources and detectors, limiting the ability to achieve three-dimensional reconstructions and detect hidden materials.
Innovation Solution
The method involves recording at least two absorption X-ray images at different energies using the dual-energy method, mathematically modeling the object into layers with assumed materials, calculating path-dependent factors, and synthesizing a new image that suppresses the contour of the material to be recognized, allowing for improved material detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed X-ray sources and detectors are used to simplify the inspection system, then device complexity is reduced, but the ability to recognize materials situated behind one another in the beam path deteriorates
Solution Approach 1:
The patent applies parameter changes by utilizing dual-energy X-ray imaging, where two absorption images are recorded at different energy levels. This allows the system to differentiate between materials with different energy absorption characteristics, enabling recognition of materials situated behind one another without changing the physical configuration of fixed sources and detectors.
2Measurement precision
If three-dimensional reconstruction is attempted to improve material recognition, then measurement precision is improved, but device complexity increases due to requiring multiple directions of irradiation
Solution Approach 1:
The patent creates a virtual three-dimensional representation through mathematical modeling rather than physical three-dimensional reconstruction. By modeling the inspection object with assumed material layers and calculating path-dependent factors from dual-energy images, the system generates synthetic images that reveal material composition without requiring physical multi-directional irradiation apparatus.
3Measurement precision
If mathematical modeling with multiple layers is performed to improve material detection, then measurement precision is improved, but loss of time increases due to additional calculation steps
Solution Approach 1:
The patent applies preliminary action by pre-defining a mathematical model with assumed material layers and their corresponding absorption characteristics before image analysis. This pre-prepared framework allows for efficient calculation of path-dependent factors and synthetic image generation, reducing the computational burden and processing time compared to performing material identification from scratch.
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 ability to recognize materials by providing a method to accurately determine the thickness and presence of materials, even if they are not directly adjacent, and allows for the detection of multiple materials by suppressing their contours in the synthetic image.
Implementation Method 1
the intensities of the attenuated radiation are detected
Implementation Method 2
the energies are advantageously selected such that the intensity of the X-ray radiation transmitted through the object is reduced by different physical effects
Data Source
AI summary
A method for improving the ability to recognize materials in an X-ray inspection system is provided that includes the steps of recording at least two absorption X-ray images of an object to be examined at different energies, mathematically modeling the object by a number of layers assuming a particular material for each layer, wherein an absorption value describes the absorptivity of a layer, the number of layers is less than or equal to the number of X-ray images and at least one layer is assumed to be a material to be recognized during the inspection, decomposing the absorption value of each layer into a path-dependent factor and an energy-dependent factor, calculating the path-dependent factors for all layers from the absorption X-ray images using the absorption equation, calculating at least one synthetic image from the sum of all layers of the product of the absorption values and the weighting factors, evaluating the synthetic image.