Intravascular Fluorescence Imaging Background Subtraction
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Solution Overview
Problem
Intravascular fluorescence imaging is hindered by background fluorescence, which complicates the detection of true fluorescence signals from plaque due to autofluorescence from unwanted sources, such as tissue components and instrument setup, leading to inaccurate visualization of molecular processes and morphological features.
Innovation Solution
A method involving an imaging system that calculates a threshold background fluorescence value based on the central tendency of detected fluorescence values, adjusts the data accordingly, and generates images using adjusted fluorescence values to suppress background fluorescence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fluorescence imaging is performed to detect molecular processes, then functional information is obtained, but background fluorescence from unwanted sources complicates detection and reduces accuracy
Solution Approach 1:
The patent extracts and removes background fluorescence from the detected signal by calculating a background value based on the central tendency (mean or median) of fluorescence values from regions known to contain only background (e.g., blood pool or reference regions), then subtracting this background component from the total detected fluorescence signal to isolate the true molecular signal
Solution Approach 2:
The patent introduces an intermediary processing step that uses statistical measures (central tendency calculations) to mediate between the raw detected fluorescence values and the final quantified molecular signal, allowing separation of background and specific signals through mathematical transformation
2Loss of information
If autofluorescence from tissue components like red blood cells and collagen is present, then intrinsic fluorescence signals are detected, but it becomes difficult to discern true fluorescence from plaque
Solution Approach 1:
The patent extracts the autofluorescence component by identifying regions where only autofluorescence is present (such as blood pool or connective tissue areas) and using these to calculate a background spectrum or intensity profile, which is then removed from the total signal to reveal the specific molecular fluorescence
Solution Approach 2:
The patent applies different processing strategies to different regions of the image based on their local characteristics - using background subtraction with centrally-tended values for regions dominated by autofluorescence, while preserving full signal intensity in regions where specific molecular fluorescence is expected, thereby adapting the noise reduction approach to local tissue composition
3Measurement precision
If fluorescence values are directly used for image generation, then imaging speed is maintained, but background fluorescence reduces image quality and quantification accuracy
Solution Approach 1:
The patent implements a self-service background correction mechanism where the system uses its own detected fluorescence data to automatically calculate and remove background contributions, requiring no external reference measurements or additional calibration procedures - the background is derived entirely from the imaging data itself through central tendency analysis
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 effectively reduces background fluorescence interference, improving the accuracy of fluorescence emission quantification and image generation in intravascular imaging, enabling better characterization of plaque and other vascular features.
Implementation Method 1
scanning a bodily lumen with an imaging catheter that transmits light of wavelength capable of stimulating emission of fluorescence light from within the bodily lumen
Data Source
AI summary
Devices, systems, and methods perform optical-scanning operations to acquire fluorescence data values corresponding to fluorescence data collected from inside a bodily lumen. A processor receives the fluorescence data; calculates a threshold background fluorescence value based on a central tendency of at least part of the fluorescence data values; discards fluorescence data values that are lower than the threshold background fluorescence value, thereby creating corrected fluorescence data values; and generates an image of the bodily lumen based on the corrected fluorescence data values.