Medical Image Alignment Reliability Feedback System
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Solution Overview
Problem
Existing image alignment techniques struggle to accurately align medical images captured from different postures and modalities, making it difficult for doctors to identify lesion regions and compare images effectively, as the quality of alignment results is uncertain, and users lack guidance on improving alignment accuracy.
Innovation Solution
An image processing apparatus that obtains corresponding point information, calculates reliability degrees based on distances between points of interest and corresponding points, and presents a reliability degree map and satisfaction degree to users, enabling them to determine the accuracy of alignment and improve it by inputting corresponding points in low-reliability regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual corresponding point information is provided for image alignment, then alignment can be performed between images, but the quality of alignment result is uncertain and users cannot determine how to improve alignment accuracy
Solution Approach 1:
The patent implements feedback by calculating and presenting satisfaction degrees and reliability degrees to users. The satisfaction degree evaluating unit computes satisfaction degrees for multiple regions based on corresponding point information, and the reliability degree calculating unit determines reliability degrees for each region. These metrics are then presented to users through the presentation unit, providing feedback on alignment quality and guiding users to improve alignment accuracy by adding or adjusting corresponding points in low-reliability regions.
2Ease of operation
If corresponding point information is obtained for alignment, then image alignment can be achieved, but users lack guidance on where to improve alignment
Solution Approach 1:
The patent applies local quality by dividing the image into multiple regions and calculating satisfaction degrees and reliability degrees for each region separately. The reliability degree calculating unit determines reliability degrees for each region based on the distribution of corresponding points, allowing users to identify specific areas where alignment quality is poor. This localized information enables users to focus their efforts on specific regions that need improvement rather than treating the entire image uniformly.
3Reliability
If alignment is performed without quality evaluation, then the process is simple, but the reliability of alignment result cannot be determined
Solution Approach 1:
The patent implements preliminary action by calculating satisfaction degrees and reliability degrees before presenting the final alignment result to the user. The satisfaction degree evaluating unit computes satisfaction degrees for multiple regions, and the reliability degree calculating unit determines reliability degrees based on the distribution of corresponding points. This preliminary evaluation provides users with confidence in the alignment result or identifies areas needing improvement before finalizing the alignment, ensuring reliable results without requiring complex iterative adjustments.
Data Source
AI summary
An image processing apparatus comprises a corresponding point information obtaining unit configured to obtain corresponding point information input for alignment between images; a satisfaction degree obtaining unit configured to obtain a satisfaction degree of the corresponding point information based on the corresponding point information; and a presentation control unit configured to control presentation of information about the satisfaction degree.