Stitched Panoramic View for Medical Imaging Data Review
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Solution Overview
Problem
Current medical imaging technologies, such as wide-field OCT, generate large datasets that are challenging and time-consuming to review manually, necessitating improved systems for efficient visualization and analysis of imaging data to facilitate accurate diagnostic assessments.
Innovation Solution
A visual user interface is provided that generates a stitched panoramic view of diagnostically relevant areas identified by computer-assisted detection algorithms, allowing users to navigate efficiently through large datasets and confirm diagnoses quickly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of imaging data is performed, then diagnostic accuracy can be maintained, but time consumption increases significantly
Solution Approach 1:
The patent segments the large imaging dataset into multiple smaller tile images that can be processed and reviewed independently. This segmentation allows the system to present only relevant portions of the data to the user, reducing the overall time required for review while maintaining diagnostic accuracy through systematic coverage of all segments.
Solution Approach 2:
The patent introduces an automated analysis system as an intermediary between the raw imaging data and the human reviewer. This intermediary pre-processes the data, identifies suspicious areas, and presents them in an organized manner, thereby reducing the time burden on human reviewers while preserving diagnostic accuracy through human verification of automated findings.
2Reliability
If complete imaging datasets are reviewed, then comprehensive diagnostic assessment is achieved, but review efficiency decreases
Solution Approach 1:
The patent extracts and highlights only the suspicious or diagnostically relevant areas from the complete imaging dataset, separating these critical regions from the rest of the data. This extraction allows reviewers to focus on important findings while the system maintains awareness of the complete dataset, thereby improving efficiency without sacrificing comprehensive assessment.
Solution Approach 2:
The patent performs preliminary automated analysis of the complete imaging dataset before human review, identifying and flagging suspicious areas in advance. This preliminary action prepares the data in a way that enables efficient human review of only the most relevant portions, maintaining comprehensive diagnostic assessment while significantly improving review efficiency.
3Loss of time
If automated detection algorithms are used, then review time is reduced, but system complexity increases
Solution Approach 1:
The patent implements a multi-functional system that performs multiple tasks including automated image analysis, suspicious area detection, result visualization, and navigation assistance within a single integrated platform. This universal approach reduces review time through automation while managing system complexity by consolidating multiple functions into one cohesive system rather than requiring separate tools for each task.
Data Source
AI summary
Medical imaging data can include imaging data of tissue portions, such as, for example, tissue samples. A processor is configured to receive imaging data obtained from imaging tissue. The imaging data includes a two-dimensional scan of tissue, such as, for example, a B-scan. The processor is configured to analyze the imaging data, and to identify imaging data associated with suspicious areas. The processor is configured to generate a visual interface that displays the imaging data associated with the suspicious areas in a stitched view. The processor, via the visual interface, enables a user to navigate to locations in the two-dimensional scan that correspond to imaging data associated with suspicious areas that the user determines to be positive for a characteristic (e.g., cancer).