OCT Imaging UI for Automated Data Registration
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Solution Overview
Problem
Current medical imaging systems face challenges in efficiently displaying and analyzing large OCT imaging data sets, particularly in tracking changes over time, which is crucial for conditions like macular degeneration and glaucoma, due to the complexity of navigating and aligning multiple image datasets.
Innovation Solution
The development of a user interface that allows for real-time alignment of imaging systems before data acquisition, automatic registration of imaging data across multiple visits, and synchronized display of image movies to facilitate the identification of changes, utilizing features like confidence maps and thumbnail combinations for efficient data retrieval and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional multi-planar reconstruction is used to display 3-D volume data, then images from different viewing angles can be displayed simultaneously, but the user experience becomes time-consuming and difficult to navigate for finding relevant images
Solution Approach 1:
The system performs preliminary actions by automatically detecting features of interest in the 3-D volume data and pre-selecting relevant image slices before user interaction. This eliminates the need for users to manually scroll through volumes, as the system has already identified and prepared the most relevant images for display.
Solution Approach 2:
The system extracts only the relevant image slices from the complete 3-D volume data based on automated feature detection. Instead of requiring users to navigate through all slices, the system takes out and presents only the medically significant portions, reducing navigation time and improving access efficiency.
2Loss of information
If volume rendering is used to present features of interest, then computational power can identify and display relevant features, but expert users still benefit from observing individual slices directly which requires time-consuming selection
Solution Approach 1:
The system performs preliminary feature detection and automatically selects individual slices that contain medically relevant information. This preliminary action prepares the optimal set of slices for expert review, eliminating the time-consuming manual selection process while maintaining the ability to view individual slices directly.
Solution Approach 2:
The system acts as an intermediary between volume rendering and individual slice display by using automated feature detection to bridge these approaches. It processes the volume data to identify relevant features, then presents both the rendered overview and the specific individual slices containing those features, combining the benefits of both methods.
3Measurement precision
If alignment and registration of multiple image datasets is performed manually, then precise alignment can be achieved, but the process becomes complex and time-consuming for tracking changes over time
Solution Approach 1:
The system performs self-service alignment and registration by automatically detecting anatomical features in multiple image datasets and computing the transformations needed to align them. This eliminates the need for manual alignment operations while maintaining high precision through automated feature-based registration algorithms.
Solution Approach 2:
The system changes parameters automatically by using feature detection to determine optimal alignment transformations. Instead of requiring manual adjustment of alignment parameters, the system computes the necessary spatial, rotational, and scaling transformations based on detected anatomical landmarks, achieving precise alignment efficiently.
Data Source
AI summary
The present invention is an OCT imaging system user interface for efficiently providing relevant image displays to the user. These displays are used during image acquisition to align patients and verify acquisition image quality. During image analysis, these displays indicate positional relationships between displayed data images, automatically display suspicious analysis, automatically display diagnostic data, simultaneously display similar data from multiple visits, improve access to archived data, and provide other improvements for efficient data presentation of relevant information.