Endoscope Image Layout for Multi-Lesion Viewing Without Occlusion
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Solution Overview
Problem
Existing endoscope systems struggle to enable users to visually recognize multiple observation target regions in medical images without impairing the visibility of the main image, particularly in determining the characteristics such as size and position of lesions, which is crucial for accurate medical diagnosis.
Innovation Solution
A medical support device and method that utilizes a processor to acquire and display medical images with separate display regions, one for the main image and another for extracted images of target regions, allowing for visual identification of characteristics like size and position, using machine learning for object recognition and grouping by characteristics or ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple observation target regions are highlighted or marked on the medical image, then the characteristics of each region can be identified, but the visibility of the main medical image is impaired
Solution Approach 1:
The display screen is divided into a first display region showing the main medical image and a second display region showing extracted images of observation target regions. This spatial segmentation allows characteristic information to be displayed without obscuring the main image, as each region serves a distinct display function.
Solution Approach 2:
Observation target regions are extracted from the main medical image and displayed separately in the second display region. This extraction allows the characteristics of specific regions to be highlighted without interfering with the overall visibility of the main medical image in the first display region.
2Measurement precision
If extracted images of observation target regions are displayed, then characteristics such as size and position can be analyzed, but the device complexity increases
Solution Approach 1:
The processor performs multiple functions including acquiring medical images, recognizing observation target regions, extracting characteristic information, and displaying results in different regions. This multi-functionality reduces the need for separate dedicated devices for each function, thereby managing system complexity while maintaining measurement precision.
Solution Approach 2:
The system creates a copy of the medical image data and processes it to extract observation target regions and their characteristics. This copying allows the original image to remain intact for reference while enabling detailed analysis of specific regions without altering the source material.
3Ease of operation
If observation target regions are marked directly on the medical image, then the user can quickly locate lesions, but the user cannot simultaneously grasp the characteristics of multiple regions
Solution Approach 1:
The display is segmented into two functional regions: the first display region maintains the complete medical image for easy location, while the second display region presents extracted images with characteristic information for comprehensive analysis. This segmentation allows users to simultaneously access both quick location capabilities and detailed characteristic information.
Solution Approach 2:
The system transitions from a two-dimensional overlay approach to a multi-dimensional display architecture by adding a second display region. This dimensional expansion allows characteristic information to be presented in a separate spatial dimension, enabling users to grasp multiple region characteristics without sacrificing the ease of locating lesions in the main image.
Data Source
AI summary
A medical support device includes a processor. The processor is configured to acquire a characteristic of each of a plurality of observation target regions, the plurality of observation target regions being recognized by performing a recognition process on a medical image in which the plurality of observation target regions appear. The processor is configured to display the medical image in a first display region. The processor is configured to display, in accordance with the characteristic, a plurality of extracted images in a second display region outside the first display region, the plurality of extracted images being images in which the plurality of observation target regions have been individually extracted from the medical image.