Multi-Energy CT via Spectral Decomposition
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Solution Overview
Problem
Dual-energy CT imaging systems require specialized and costly hardware, and expose patients to higher doses of ionizing radiation due to the need for multiple x-ray energy spectra and complex data processing.
Innovation Solution
A system and method that uses a single polychromatic x-ray source to generate multi-energy CT images by acquiring and segmenting attenuation data, generating template and synthetic data, and reconstructing images weighted for different energy levels, eliminating the need for dual-energy hardware and reducing radiation dose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dual-energy CT systems use specialized hardware (two sources or fast kV switching), then multi-energy imaging capability is achieved, but device complexity and cost increase
Solution Approach 1:
The patent applies universality by enabling a standard single-source CT system to perform multi-energy imaging through software-based spectral decomposition. The system processes attenuation data from a conventional polychromatic source to generate multiple energy-specific images, making the standard system multi-functional without requiring specialized dual-source hardware or fast kV switching capabilities.
Solution Approach 2:
The patent creates synthetic copies of multi-energy data from single-energy attenuation measurements. By decomposing the polychromatic attenuation spectrum and reconstructing synthetic projection data for multiple energy levels, the system generates virtual multi-energy datasets that mimic what would be obtained from actual dual-energy acquisition, eliminating the need for complex hardware.
2Measurement precision
If dual-energy CT systems acquire multiple energy spectra, then material discrimination capability is improved, but patient radiation dose increases
Solution Approach 1:
The patent applies partial action by acquiring only a single polychromatic spectrum instead of multiple energy spectra, yet still achieves material discrimination through spectral decomposition. The system processes the attenuation data from one acquisition to extract energy-specific information, obtaining sufficient material discrimination capability without the excessive radiation dose of multiple acquisitions.
Solution Approach 2:
The patent introduces spectral decomposition as an intermediary process between single-energy attenuation data and multi-energy images. This computational mediator extracts energy-specific information from the polychromatic spectrum, enabling material discrimination without requiring actual multi-energy acquisition, thus reducing patient radiation exposure.
3Measurement precision
If specialized detectors (sandwich or photon counting) are used for energy resolving detection, then energy discrimination is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces the mechanical/physical complexity of energy-resolving detectors with computational processing. Instead of using sophisticated sandwich detectors or photon counting detectors that physically separate energy measurements, the system uses software-based spectral decomposition on data from conventional detectors, substituting physical complexity with computational algorithms.
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 multi-energy imaging without the need for specialized hardware and reduces patient radiation exposure, while maintaining image quality and accuracy.
Implementation Method 1
a polychromatic x-ray source configured to generate a polychromatic x-ray beam
Implementation Method 2
the detector array arranged to receive the polychromatic x-ray beam after traversing through the subject and generate attenuation data
Data Source
AI summary
A system and method for generating multi-energy computed tomography images of a subject using a polychromatic x-ray source with single spectrum includes acquiring a measure of a polychromatic spectrum of a polychromatic x-ray beam generated by the polychromatic x-ray source. The method also includes acquiring attenuation data generated by operating the polychromatic x-ray source, segmenting the attenuation data based on a plurality of component criteria to create plurality of segmented datasets, and generating template data from the segmented datasets. Using the template data and the measure of the polychromatic spectrum, polychromatic synthetic data is generated. Using the template data and each of the segmented datasets, component synthetic data is generated. Using the attenuation data, the polychromatic synthetic data, and the component synthetic data, a plurality of multi-energy images, including separable images weighted for each of the component criteria, is reconstructed.