OCT Motion Contrast Data Analysis Using Integrated Chart
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Solution Overview
Problem
Current methods for analyzing motion contrast data from optical coherence tomography (OCT) are inefficient, requiring significant effort and making it difficult to compare analysis results, especially when dealing with multiple data items.
Innovation Solution
An OCT motion contrast data analysis apparatus and method that acquires and analyzes OCT motion contrast data using a processor and memory, employing an analysis chart to set and adjust analysis regions and reference positions, allowing for efficient extraction and measurement of vascular channels and layer thickness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If independent analysis methods are used for motion contrast data and OCT data, then analysis flexibility is maintained, but analysis effort and time increase significantly
Solution Approach 1:
The patent combines motion contrast data analysis and OCT data analysis into a unified analysis system. The analysis unit integrates both data types and applies coordinated analysis processes, allowing simultaneous processing while maintaining the ability to perform either analysis independently when needed. This merging reduces redundant operations and enables efficient comparison between motion contrast and structural findings.
Solution Approach 2:
The analysis unit is designed with multi-functional capabilities to handle both motion contrast data and OCT data through a single integrated interface. It can perform motion contrast analysis, OCT analysis, and comparative analysis using the same hardware and software platform, eliminating the need for separate independent analysis systems and reducing overall analysis time.
2Loss of information
If multiple motion contrast data items are analyzed separately, then comprehensive vascular information is obtained, but analysis effort and complexity increase
Solution Approach 1:
The analysis unit merges multiple motion contrast data items into a unified analysis framework. It processes multiple datasets simultaneously, integrating vascular information from different time points or conditions while maintaining the ability to analyze individual datasets when needed. This approach comprehensively captures vascular dynamics without requiring separate manual analysis of each dataset.
Solution Approach 2:
The system performs preliminary processing and organization of multiple motion contrast data items before detailed analysis. It pre-aligns datasets, establishes reference frameworks, and prepares data structures that facilitate efficient comparative analysis. This preliminary action reduces the complexity of subsequent analysis operations while ensuring comprehensive vascular information is captured.
3Measurement precision
If manual analysis methods are used for motion contrast data, then analysis precision can be maintained, but productivity and efficiency decrease
Solution Approach 1:
The analysis unit implements automated analysis algorithms that perform motion contrast measurement and evaluation with high precision. The system self-calibrates using built-in reference data, automatically identifies vascular structures, and computes hemodynamic parameters without requiring manual intervention. This automation maintains measurement precision while dramatically improving analysis efficiency and productivity.
Solution Approach 2:
The patent replaces manual mechanical analysis methods with automated computational algorithms. Instead of manual measurement and interpretation, the system uses computer-based image processing, signal analysis, and data interpretation algorithms that maintain or exceed human precision while operating at much higher speeds and efficiencies.
Data Source
AI summary
An OCT motion contrast data analysis apparatus includes: a processor; and memory storing computer readable instructions, when executed by the processor, causing the OCT motion contrast data analysis apparatus to execute: acquiring OCT motion contrast data of a subject by an optical coherence tomography; and performing an analysis process with respect to the OCT motion contrast data based on an analysis chart set on image data different from the OCT motion contrast data.