Spectral CT Imaging with Energy Discriminating Contrast Agents
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Solution Overview
Problem
Current medical imaging technologies, such as CT scanners, face challenges in differentiating between contrast materials that have similar radiation attenuations, leading to high contrast background noise and false positive accumulation sites, especially when using targeted contrast agents with heavy element nanoparticles that accumulate in non-target regions.
Innovation Solution
An imaging system that utilizes a contrast agent with nanoparticles exhibiting different spectral characteristics when attached to a target versus when not attached, employing hybridization chain reaction (HCR) techniques to differentiate and amplify signal specificity, allowing for improved detection and sensitivity by altering x-ray attenuation or nuclear magnetic resonance responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CT scanning with single energy spectrum is used, then the imaging system is simple and easy to operate, but the ability to differentiate between contrast materials with similar radiation attenuations is limited
Solution Approach 1:
The patent applies parameter changes by utilizing multiple x-ray energy spectra (dual-energy or multi-energy CT) to differentiate contrast materials. By acquiring images at different energy levels and analyzing the spectral characteristics, the system can distinguish between contrast agents with similar attenuations at a single energy level, thereby improving measurement precision without requiring fundamentally new imaging hardware
Solution Approach 2:
The patent introduces an additional dimension of energy spectral analysis to the traditional CT imaging. By adding energy discrimination capability to the spatial imaging, the system creates a multi-dimensional dataset that enables material differentiation based on energy-dependent attenuation patterns, effectively adding a spectral dimension to the conventional two-dimensional spatial imaging
2Measurement precision
If targeted contrast agents with heavy element nanoparticles are used, then the contrast enhancement is improved, but background noise increases due to accumulation in non-target regions
Solution Approach 1:
The patent uses parameter changes by analyzing the energy spectral signature of the contrast material. Different materials exhibit characteristic attenuation patterns across multiple energy levels, allowing the system to distinguish between target-specific contrast accumulation and non-specific background accumulation based on spectral fingerprinting rather than just intensity thresholds
Solution Approach 2:
The patent applies the concept of color changes metaphorically through spectral differentiation. By analyzing how contrast materials attenuate x-rays at different energy levels (analogous to different colors), the system can identify and differentiate between specific contrast agents and background materials, effectively using spectral 'color' information to reduce false positives from background noise
3Measurement precision
If spectral CT scanning with multiple energy spectra is employed, then material composition analysis is improved, but the scanning time and data processing complexity increase
Solution Approach 1:
The patent applies periodic action by using alternating or sequential acquisition of different energy spectra during the scanning process. This allows the system to collect multi-energy data through repeated measurements at different energy levels, enabling material decomposition and composition analysis while managing scan time through efficient periodic sampling
Solution Approach 2:
The patent uses preliminary action by performing material decomposition and spectral analysis during the image reconstruction process rather than as a separate post-processing step. This integrated approach allows the system to prepare and analyze spectral data concurrently with image formation, reducing overall processing time and avoiding additional scanning delays
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
Enhances the ability to specifically target and detect biological components, reducing background noise and improving the concentration of contrast material at target sites, thereby enhancing image clarity and accuracy.
Implementation Method 1
a contrast agent administered to the subject changes an x-ray attenuation spectrum when attached to a target
Implementation Method 2
a detector that detects radiation traversing the examination region and produces a signal indicative of the energy of the detected radiation
Data Source
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AI summary
An imaging system includes a radiation source (110) that emits radiation that traverses an examination region and a detector (116) that detects radiation traversing the examination region and a subject disposed therein, and produces a signal indicative of the energy of the detected radiation. A data selector (122) energy discriminates the signal based on an energy spectra setting corresponding to first and second spectral characteristics of a contrast agent administered to the subject, wherein the contrast agent has a first attenuation spectral characteristic when attached to the target and a second different spectral characteristic when not attached to the target. A reconstructor (134) reconstructs the signal based on the first and second spectral characteristics and generates volumetric image data indicative of the target.