In-Vivo Image Stream Complementary Display for Diagnostic Review
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Solution Overview
Problem
Medical professionals face challenges when viewing large image streams from in-vivo imaging devices, such as ingestible capsules, as they need to navigate through thousands of images to identify specific frames or symptoms, requiring efficient methods to summarize and review image data.
Innovation Solution
A system and method for generating and displaying a complementary image stream, where a user can select and view only unreviewed images based on pre-defined criteria, allowing for efficient review by marking viewed images and generating a complementary stream of unviewed images for further analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a user views a complete image stream from in-vivo imaging, then comprehensive diagnostic information is obtained, but viewing time increases significantly
Solution Approach 1:
The patent segments the complete image stream into multiple subsets based on predetermined criteria (such as temporal intervals, anatomical regions, or image characteristics). This allows the system to present only relevant portions of the image stream to the user, reducing viewing time while maintaining diagnostic completeness through targeted sampling of the data.
Solution Approach 2:
The system performs preliminary processing of the image stream by pre-selecting and pre-organizing images according to predetermined criteria before the user begins viewing. This preliminary action filters and arranges the data in advance, enabling the user to access only the most relevant images without having to sift through the entire stream sequentially.
2Reliability
If a user reviews all images from the image stream, then no diagnostic details are missed, but the burden of data review increases
Solution Approach 1:
The patent applies different quality levels or types of image presentation to different portions of the image stream based on local characteristics. Images are selectively highlighted, enlarged, or annotated according to their diagnostic significance, allowing the user to focus attention on critical areas while maintaining an overview of the entire stream, thereby reducing review burden without compromising diagnostic accuracy.
Solution Approach 2:
The system incorporates feedback mechanisms that track which images have been viewed and allow users to mark images as reviewed or flagging for attention. This feedback loop enables the system to adapt subsequent presentations based on user interactions, reducing redundancy and guiding the user through the most diagnostically significant images first, thereby lowering the overall review burden while maintaining reliability.
3Quantity of substance
If the system displays all captured images, then complete diagnostic data is provided, but the time required for data processing and review increases
Solution Approach 1:
The patent implements partial action by selectively displaying only a subset of images that meet predetermined diagnostic criteria, rather than presenting the complete set. This approach provides sufficient diagnostic information for most cases while significantly reducing the quantity of data that requires processing and review, thereby improving diagnostic efficiency without sacrificing the necessary diagnostic depth.
Data Source
AI summary
A system and method may allow automatic display of un-viewed images of an image stream, which may be produced by an ingestible capsule. A set of images acquired by an in-vivo device disposed within a body lumen is received by a receiver or workstation, and a portion of the set of images is selected for display as an image stream. The selected portion of images is displayed as a first image stream, and a complementary portion of the set of images is displayed as a second image stream. The complementary portion includes unselected images from the set of images, and/or images which are indicated as unviewed images. A graphical user interface is provided for selecting a viewing mode which is determined based on previously viewed images and users' review history.