Multi-material Decomposition in Dual Energy CT Scanners
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Solution Overview
Problem
Conventional dual-energy CT imaging systems are limited to decomposing images into only two pre-selected materials, failing to effectively distinguish and represent compositions of more than two materials in a voxel, due to the inherent constraints of their technology.
Innovation Solution
The method involves acquiring a dual-energy CT image pair, selecting a material basis, applying a physicochemical or mathematical model for multi-material decomposition, and imposing constraints to derive a material-decomposed image triplet or more, using models like the ideal solution to estimate mass attenuation curves and regularize the decomposition process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional dual-energy CT imaging is used, then two-material decomposition is achieved, but the system cannot distinguish compositions of more than two materials in a voxel
Solution Approach 1:
The patent extends the decomposition from two materials to three or more materials by adding dimensional complexity to the mathematical model. This is achieved by incorporating additional basis materials and corresponding attenuation coefficients into the decomposition equations, allowing the system to resolve compositions of multiple materials simultaneously rather than being limited to pairs of materials.
2Measurement precision
If multi-material decomposition is implemented, then more accurate material representation is achieved, but the computational complexity increases
Solution Approach 1:
The patent changes the parameters of the decomposition system by introducing additional basis materials and their corresponding attenuation coefficients. This allows the system to represent more materials accurately while managing computational complexity through structured mathematical formulations that build upon the existing two-material decomposition framework.
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 allows for the decomposition of images into three or more pre-selected materials, providing more accurate and interpretable results by enforcing non-negative weighting coefficients and using physicochemical models to constrain the solution, thereby expanding the capability of dual-energy CT scanners beyond the traditional two-material limit.
Implementation Method 1
The x-ray beam impinges on a detector assembly at the far side of the subject, comprising a plurality of detector modules, where the intensity of the x-ray beam detected is a function of the attenuation of the x-ray beam by the subject
Implementation Method 2
In medical CT, two physical processes dominate the x-ray attenuation: Compton scatter and the photoelectric effect
Implementation Method 3
In medical CT, two physical processes dominate the x-ray attenuation: Compton scatter and the photoelectric effect
Data Source
AI summary
A method for obtaining multi-material decomposition images of an object is presented. The method includes acquiring an image pair from a dual energy computed tomography scan of the imaged object. The method then includes selecting a material basis for multi-material decomposition of the image pair. The method further includes applying a physicochemical model for the material basis. Also, the method includes performing multi-material decomposition using at least one constraint imposed by the physicochemical model.