Medical Image ROI Display by Detection Position and Accuracy
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Solution Overview
Problem
Existing medical image processing systems face issues with varying detection accuracy and attention focus on regions of interest, particularly in endoscopic images, leading to potential misdiagnosis due to differences in detection accuracy between the center and peripheral regions.
Innovation Solution
A medical image processing system that adjusts the display style of detected regions of interest based on their positional accuracy and likelihood of oversight, using varying geometric shapes, colors, transparencies, and display times to highlight or diminish the visibility of detected regions based on their location within the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the detection result is displayed uniformly across all regions, then the display process is simple, but the diagnostic accuracy decreases due to varying detection accuracy between center and peripheral regions
Solution Approach 1:
The patent applies local quality by differentiating the display style of detection results based on their location within the image. Regions are divided into a first region (e.g., center) and a second region (e.g., periphery), with each region assigned different display characteristics such as color, size, or marking style. This ensures that detection results in the center region, which have higher detection accuracy, are displayed differently from those in the peripheral region, thereby maintaining diagnostic accuracy while managing display complexity through systematic regional differentiation.
2Reliability
If the detection result in the peripheral region is displayed with the same prominence as the center region, then all regions receive equal attention, but the likelihood of overlooking peripheral regions remains high due to natural attention bias
Solution Approach 1:
The patent employs color changes as a visual attention guide to direct the user's focus to specific regions of interest. Different colors or color intensities are assigned to detection results based on their location and importance, making peripheral regions more visually prominent when necessary. This compensates for the natural tendency of users to focus on center regions, thereby improving the reliability of detection results across all regions without requiring additional operational effort from the user.
3Measurement precision
If the display style is adjusted based on detection position, then the diagnostic accuracy improves, but the device complexity increases due to multiple display parameters
Solution Approach 1:
The patent applies segmentation by dividing the image into distinct regions (first region and second region) and assigning specific display parameters to each region. This systematic segmentation allows for manageable control of display complexity, as each region can be configured with a predefined set of display characteristics. The segmentation approach enables the system to improve diagnostic accuracy through position-based differentiation while keeping the complexity of managing multiple display parameters organized and controllable through regional grouping.
Data Source
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AI summary
Provided is a medical image processing system capable of providing a notification of, when detecting a region of interest based on a medical image, a detection result of the region of interest in accordance with the detection accuracy and preventing the detection result of the region of interest from being overlooked using the detection position of the region of interest. A medical image obtained by imaging of an observation target is acquired. A region of interest including a target of interest is detected from the medical image. A detection result of the region of interest is displayed on a monitor (34) using a display style that differs depending on at least a detection position of the region of interest.