Multispot OCT Monitoring for Analyte Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current optical coherence tomography (OCT) devices face challenges in efficiently and accurately estimating analyte levels, such as glucose, due to the need for extensive data collection and analysis, which is time-consuming and dependent on precise sensor placement, and are limited by the non-uniform distribution of analyte correlating regions in tissue.
Innovation Solution
The implementation of OCT systems that utilize multiple tissue site scanning and fluid flow detection methods, including speckle analysis and fringe-frequency modulation, to identify regions with blood flow, allowing for focused data collection in analyte correlating regions and reducing the impact of non-analyte structures, thereby improving the speed and accuracy of analyte level estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extensive data collection is performed to improve measurement precision, then analyte level estimation accuracy is improved, but measurement time increases
Solution Approach 1:
The measurement process is divided into multiple discrete spots across the tissue surface, with each spot providing independent data. This segmentation allows parallel data collection from multiple locations simultaneously, reducing total measurement time while maintaining comprehensive coverage for accurate analyte estimation.
Solution Approach 2:
The system performs preliminary identification of analyte correlating regions through flowmetry assessment before conducting detailed OCT measurements. This preliminary action filters out non-informative regions, allowing the system to focus data collection efforts only on areas likely to contain analyte information, thereby reducing unnecessary measurement time.
2Reliability
If multiple tissue sites are scanned to improve measurement reliability, then analyte level estimation accuracy is improved, but device complexity increases
Solution Approach 1:
The OCT system is enhanced with multi-functionality by integrating flowmetry assessment capabilities into the existing scanning apparatus. This universal system can perform both standard OCT imaging and flowmetry-based analyte correlation analysis using the same hardware infrastructure, avoiding the need for separate specialized devices and reducing overall system complexity.
Solution Approach 2:
The scanning system dynamically adjusts its operation based on real-time flowmetry feedback. Regions identified as having low blood flow or lacking analyte correlation are automatically excluded from detailed measurement, while high-value regions receive enhanced scanning attention. This dynamic adaptation optimizes the balance between measurement reliability and system complexity.
3Measurement precision
If sensor placement precision is increased to improve measurement accuracy, then analyte level estimation accuracy is improved, but ease of operation decreases
Solution Approach 1:
The system performs self-assessment through automated flowmetry evaluation to identify suitable measurement regions. By automatically detecting blood flow characteristics and analyte correlating regions, the system eliminates the need for manual optimization of sensor placement by the operator, significantly improving ease of operation while maintaining measurement accuracy through objective, automated region selection.
Solution Approach 2:
Real-time flowmetry feedback is provided during the scanning process, allowing the system to dynamically identify and lock onto optimal measurement regions. This feedback mechanism guides the measurement process automatically, reducing the operational burden on the user while ensuring accurate sensor positioning through automated detection and adjustment.
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 enables faster and more accurate analyte level estimation by identifying regions with blood flow, reducing the need for extensive data collection and improving the system's sensitivity and stability, making the OCT technique less dependent on sensor placement and more robust against physiological variations.
Implementation Method 1
Such techniques can utilize the speckle from an OCT scan and/or the fringe-frequency modulation to identify flow
Implementation Method 2
Such techniques can utilize the speckle from an OCT scan and/or the fringe-frequency modulation to identify flow
Implementation Method 3
the high depth resolution of this technique is able to measure, with a high degree of accuracy, the scattering properties of a subject's tissue
Data Source
AI summary
Optical coherence tomography (herein “OCT”) based analyte monitoring systems are disclosed. In one aspect, techniques are disclosed that can identify fluid flow in vivo (e.g., blood flow), which can act as a metric for gauging the extent of blood perfusion in tissue. For instance, if OCT is to be used to estimate the level of an analyte (e.g., glucose) in tissue, a measure of the extent of blood flow can potentially indicate the presence of an analyte correlating region, which would be suitable for analyte level estimation with OCT. Another aspect is related to systems and methods for scanning multiple regions. An optical beam is moved across the surface of the tissue in two distinct manners. The first can be a coarse scan, moving the beam to provide distinct scanning positions on the skin. The second can be a fine scan where the beam is applied for more detailed analysis.