3D Image Registration Error Visualization
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Solution Overview
Problem
In medical image diagnosis, comparing images from different postures and imaging apparatuses with varying parameters is challenging due to registration errors, making it difficult to understand the overall trend in registration errors across target cross sections.
Innovation Solution
An image processing apparatus that acquires estimated registration error values, designates target cross sections, and displays statistical values of these errors, allowing users to visualize the extent of registration errors in three-dimensional images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If registration between different images is performed to compare lesion portions, then comparison accuracy is improved, but understanding of overall registration error trends becomes difficult
Solution Approach 1:
The patent divides the three-dimensional image into multiple cross-sections and calculates registration error statistics for each cross-section separately. This segmentation allows the system to present detailed local error information while maintaining an organized structure that reveals overall error trends across the entire volume.
Solution Approach 2:
The patent transitions from displaying only two-dimensional cross-sectional error data to visualizing three-dimensional error distribution patterns. By aggregating statistical values across multiple cross-sections and presenting them in a coordinated 3D view, the system enables comprehension of overall error trends while preserving local detail information.
2Measurement precision
If detailed local registration errors are displayed, then local accuracy is improved, but overall error trend understanding deteriorates
Solution Approach 1:
The system segments the three-dimensional error data into multiple two-dimensional cross-sections, each displaying detailed local registration error statistics. This segmentation preserves local accuracy while organizing information in a structured manner that facilitates overall trend analysis.
Solution Approach 2:
The patent creates a multi-functional display system that simultaneously provides detailed local error statistics for individual cross-sections and aggregated statistical values representing overall error trends. This universal display approach serves multiple analytical needs without requiring separate visualization systems.
3Loss of information
If statistical values of registration errors are calculated for multiple positions, then comprehensive error analysis is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the three-dimensional volume into multiple cross-sections and calculates registration error statistics for each section independently. This segmentation approach comprehensively captures error information throughout the volume while maintaining manageable data processing through modular computation.
Solution Approach 2:
The system calculates statistical values for multiple cross-sections (excessive action) to ensure comprehensive error coverage, but applies efficient aggregation methods to prevent excessive computational complexity. The partial calculation approach focuses on key statistical metrics rather than exhaustive point-by-point analysis.
Data Source
AI summary
An image processing apparatus according an exemplary embodiment of the present invention estimates for a plurality of positions in a target image an estimated value of an error in registration for acquiring a third three-dimensional image by deforming at least one of a first three-dimensional image of a subject and a second three-dimensional image, one of the three-dimensional images being the target image, designates a cross section in the target image, acquires a statistical value of the error in the designated cross section based on the estimated value estimated for a plurality of positions in the cross section, and displays the statistical value.