Medical Image Correspondence Corridor Detection
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Solution Overview
Problem
Current medical imaging technologies face challenges in accurately and efficiently detecting and visualizing anatomical structures and corresponding regions of interest across different medical images, particularly due to variations in imaging modalities and obstructed views in projective images like X-rays.
Innovation Solution
A method that identifies anatomical landmarks and structures in multiple images, corrects for in-plane rotations, and calculates a correspondence matrix to automatically locate and visualize regions of interest, using a combination of image processing techniques and spatial relationship schemes to facilitate accurate detection across various imaging modalities and time points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If feature based recognition techniques are used to detect anatomical structures, then processing speed is improved, but recognition accuracy deteriorates
Solution Approach 1:
The patent introduces anatomical landmarks as intermediary reference points that bridge the primary image and secondary images. These landmarks serve as mediators to establish correspondence relationships between different imaging modalities, enabling accurate region localization without relying solely on feature-based recognition that compromises accuracy for speed.
2Measurement precision
If direct point-to-point correspondence is attempted in projective images, then localization precision is improved, but feasibility deteriorates due to obstructed views
Solution Approach 1:
The patent transitions from attempting direct 2D point-to-point correspondence in projective images to establishing correspondence in a higher-dimensional space using 3D volumetric images. By projecting anatomical structures into a common 3D coordinate system, the system achieves accurate localization despite obstructions and perspective variations in the 2D projective images.
Solution Approach 2:
The patent uses 3D volumetric images as an intermediary medium to bridge the gap between 2D projective images with obstructed views. The volumetric data serves as a common reference framework where anatomical structures can be accurately identified and correlated across different imaging modalities, overcoming the limitations of direct 2D correspondence.
3Measurement precision
If anatomical landmarks are used for correlation, then correspondence accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent segments the complex task of image correlation into distinct manageable steps: (1) detecting anatomical landmarks in each image, (2) matching landmarks across images using predefined correspondence rules, (3) calculating transformation parameters, and (4) applying transformations to locate regions of interest. This segmentation reduces computational complexity by breaking down the complex correlation problem into simpler sequential operations.
Data Source
AI summary
A method is provided for detecting a corresponding region of interest in digital medical images, the method including receiving a plurality of digital images including a primary image, at least one of the images being a projective image, identifying anatomical landmarks and structures within each of the images and correlating the images based on the identified anatomical landmarks and structures identifying a location of interest in the primary image, and automatically identifying a region of interest in the rest of the images, the region of interest corresponding to the identified location of interest in the primary image.