Spectral Imaging Using Energy-Resolving Detectors for K-Edge Material Differentiation
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Solution Overview
Problem
Conventional CT scanners expose patients to ionizing radiation, limiting their use in non-invasive differentiation of chest pain and other procedures due to potential harm and increased cancer risk, and they do not effectively utilize spectral characteristics for diagnosis.
Innovation Solution
A method and system that analyze spectral projection images to quantify target-specific contrast materials, generate signals based on threshold levels, and provide recommendations for patient care, using energy-resolving detectors and K-edge imaging to reduce radiation exposure and enhance diagnostic accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional CT scanners are used for non-invasive imaging, then diagnostic information is obtained, but patient radiation exposure increases leading to potential harm and cancer risk
Solution Approach 1:
The patent segments the broad x-ray energy spectrum into multiple discrete energy bins using energy-resolving detectors. This allows the system to capture spectral information at different energy levels, enabling material differentiation through K-edge imaging while reducing the overall radiation dose required for accurate diagnosis
Solution Approach 2:
The patent changes the parameter of radiation energy resolution by using detectors that can resolve photon energies into multiple bins. This parameter change enables the system to exploit K-edge absorption characteristics of specific materials, improving diagnostic accuracy at lower doses by targeting specific energy ranges where contrast materials exhibit unique absorption properties
2Loss of information
If spectral CT scanning is performed with multiple x-ray tubes or voltage switching, then spectral characteristics are captured, but device complexity increases
Solution Approach 1:
The patent makes a single x-ray tube and detector system perform multiple functions by enabling the detector to resolve energies across a broad spectrum. This universal approach allows one system to capture spectral information that would otherwise require multiple specialized tubes or detector configurations, simplifying the overall device architecture
Solution Approach 2:
The patent changes the operational parameter of the detector from single-energy detection to multi-energy resolution. This parameter change allows a single detector system to function as multiple energy-specific detectors would, capturing spectral characteristics without requiring physical multiplication of x-ray sources or detector arrays
3Loss of information
If conventional CT imaging is used, then anatomical structures are visualized, but spectral characteristics for material differentiation are lost
Solution Approach 1:
The patent segments the detected x-ray spectrum into multiple energy bins, preserving spectral information that would be lost in conventional integration. This segmentation allows the system to analyze attenuation characteristics at different energy levels, enabling precise material composition analysis through K-edge imaging while maintaining complete spectral data
Solution Approach 2:
The patent introduces energy-resolving detectors as an intermediary between the x-ray source and conventional CT imaging. These detectors act as a mediator that captures and resolves spectral information, enabling material differentiation without requiring multiple x-ray sources or complex post-processing of lost spectral data
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 reduces patient radiation dose and improves diagnostic accuracy by identifying target-specific contrast materials, facilitating differential diagnosis and treatment planning while minimizing exposure to ionizing radiation.
Implementation Method 1
an energy-resolving detector array with energy-resolving detectors (e.g., with photon counting detectors, at least two sets of photodiodes with different spectral sensitivities, etc.)
Implementation Method 2
K-edge spectral imaging leverages the phenomena that high-Z elements tend to attenuate photons to a much higher extent above a particular energy (the K-edge energy of the given element) relative to attenuating photons just below the K-edge energy
Data Source
AI summary
A method includes analyzing a spectral projection image of a portion of a subject, generating a value quantifying an amount of a target specific contrast material in a region of interest of the spectral projection image, and generating a signal indicative of a presence of the target in response to the value satisfying a predetermined threshold level.