Effective Atomic Number Computation for Material Composition Detection
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Solution Overview
Problem
Current CT and X-ray imaging systems are inadequate in determining the material composition of objects, as they rely on linear attenuation coefficients that fail to provide sufficient density information, especially when materials have different densities.
Innovation Solution
A method and system that compute the effective atomic number of materials by acquiring and analyzing monochromatic images at different energy levels, calculating the ratio of mass attenuation coefficients, and using this ratio to identify the material composition through a processor-based image analysis system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If linear attenuation coefficients are used for material characterization, then the imaging system can provide attenuation information, but the system cannot sufficiently distinguish materials with different densities
Solution Approach 1:
The patent transforms the imaging approach by changing from single-energy linear attenuation coefficient measurement to dual-energy mass attenuation coefficient ratio measurement. By acquiring images at two different energy levels and computing the ratio of mass attenuation coefficients, the system extracts additional material composition information that enables differentiation between materials of different densities, directly resolving the information loss problem
Solution Approach 2:
The patent adds an energy dimension to the measurement by acquiring images at two different energy levels. This transforms the single-parameter linear attenuation coefficient measurement into a two-dimensional mass attenuation coefficient ratio measurement, providing enhanced material characterization capability that distinguishes between materials with different densities
2Measurement precision
If dual-energy monochromatic images are acquired and mass attenuation coefficient ratios are computed, then material composition identification accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent introduces monochromatic images as an intermediary step between raw dual-energy images and material composition identification. By first converting dual-energy images into monochromatic representations at two different energy levels, and then computing the mass attenuation coefficient ratio from these intermediaries, the system simplifies the overall computation process and makes the complex task of effective atomic number determination more manageable
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
Enables accurate identification of material composition by providing a more precise measure of electrostatic interactions, enhancing the ability to distinguish between different materials, particularly in medical and security imaging applications.
Implementation Method 1
Both CT systems and conventional X-ray imaging modalities provide representations of objects under examination in terms of attenuation coefficients, that is, the degree to which X-rays are attenuated by intervening structures between the source and detector
Data Source
AI summary
A technique is provided for computing an atomic number of materials forming an object imaged by a radiological modality. The method includes accessing a first monochromatic image and a second monochromatic image of the object, the first monochromatic image acquired at a first energy level and the second monochromatic image acquired at a second energy level. A ratio of the mass attenuation coefficients between the first monochromatic image and the second monochromatic image may be obtained. The atomic number for a material of the object may be computed based upon the ratio of mass attenuation coefficients.