Spectral CT Imaging with K-Edge Contrast Agents for ACS Diagnosis
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Solution Overview
Problem
Conventional CT scanners do not effectively utilize spectral characteristics for diagnosing acute coronary syndrome (ACS) in emergency room settings, leading to unnecessary hospital admissions and increased healthcare costs, and expose patients to additional radiation during interventional procedures.
Innovation Solution
A spectral imaging approach using targeted K-edge contrast agents and blood pool K-edge contrast agents, administered separately or concurrently, to generate images that facilitate decision-making and guide interventional procedures, reducing radiation exposure and scan time by leveraging K-edge imaging and energy-resolving detectors in CT scanners.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CT scanning is used to diagnose ACS, then anatomical structure visualization is achieved, but spectral information for material differentiation is lost
Solution Approach 1:
The patent segments the broad x-ray energy spectrum into multiple discrete energy bins (e.g., 20-40 keV, 40-60 keV, 60-80 keV, 80-100 keV, 100-140 keV). Each energy bin is independently detected and processed to generate separate image data sets, enabling spectral differentiation of materials based on their energy-dependent attenuation characteristics while maintaining anatomical visualization.
Solution Approach 2:
The patent adds an energy dimension to conventional CT imaging by incorporating energy-resolving detectors that measure not only the intensity but also the energy distribution of transmitted x-rays. This transforms the imaging from a single-intensity measurement per voxel to a multi-energy spectral profile per voxel, enabling material composition analysis alongside anatomical structure visualization.
2Reliability
If multiple tests and prolonged observation are performed to accurately diagnose ACS, then diagnostic accuracy is improved, but time to decision and patient inconvenience increase
Solution Approach 1:
The patent performs spectral analysis and material differentiation in advance during the initial CT scan, generating plaque characterization data (calcium, iodine, lipid content) before the patient leaves the emergency department. This preliminary diagnostic information enables immediate risk stratification and decision-making regarding admission versus discharge, eliminating the need for prolonged observation periods and repeated testing.
3Ease of operation
If fluoroscopy is used during interventional procedures to guide treatment, then real-time guidance is achieved, but additional radiation exposure increases cancer risk
Solution Approach 1:
The patent performs comprehensive anatomical and material characterization imaging before the interventional procedure, creating detailed roadmaps of the vasculature and plaque composition. These pre-acquired spectral CT images serve as guidance during the procedure, reducing or eliminating the need for continuous fluoroscopic monitoring and thereby minimizing additional radiation exposure to the patient.
Solution Approach 2:
The patent creates high-fidelity three-dimensional spectral images and virtual roadmaps that replicate the anatomical structures and material properties. These digital copies are used for procedural planning and real-time navigation during intervention, replacing the need for repeated fluoroscopic imaging and reducing cumulative radiation dose while maintaining procedural guidance accuracy.
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 method allows for accurate differentiation of ACS from other chest pain causes, reduces radiation exposure, and streamlines the diagnostic process by using a single scan or minimizing contrast agent exposure, thereby improving patient outcomes and reducing healthcare costs.
Implementation Method 1
an energy-resolving detector (e.g., photon counting, at least two 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
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AI summary
A method includes obtaining first spectral image data, which includes at least a first component corresponding to a targeted first K-edge based contrast agent administered to a subject if a target of the targeted first K-edge based contrast agent is present in the subject, decomposing the first spectral image data into at least the first component, reconstructing the first component thereby generating a first image of the targeted first K- edge contrast agent, determining if the targeted first K-edge contrast agent is present in the first image, and generating a signal indicating the targeted first K-edge contrast agent is present in the first image in response to determining the targeted first K-edge contrast agent is present in the first image.