Medical Image Slippage Calculation via Candidate Deformation
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Solution Overview
Problem
Existing medical image processing techniques face challenges in accurately calculating the degree of slippage between medical images taken at different time phases when the region of interest moves, making it difficult to assess movement and adhesion in organs like the lungs and heart.
Innovation Solution
An image processing apparatus that acquires and combines moving images from different positions, generates combined images by associating time phase images with similar phase parameters, and calculates the degree of slippage based on deformation information, enabling accurate display of movement and adhesion near the organ's contour.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a plurality of medical images in different time phases are used to observe moving organs, then the ability to assess movement and adhesion is improved, but the accuracy of calculating degree of slippage deteriorates when the region of interest moves between images
Solution Approach 1:
The patent segments the image analysis process into distinct phases: generating multiple candidate images by applying different deformation models, evaluating each candidate's registration accuracy, and selecting the best match. This segmentation allows the system to handle moving regions by systematically comparing multiple hypotheses rather than relying on a single fixed model.
Solution Approach 2:
The patent changes the deformation parameters between candidate images to account for different possible movements of the region of interest. By generating candidate images with varying deformation characteristics and selecting the one with the highest registration accuracy, the system adapts to moving organs while maintaining measurement precision.
2Adaptability or versatility
If the region of interest moves between different time phase images, then the observation of organ dynamics is improved, but the difficulty of detecting and measuring slippage increases
Solution Approach 1:
The patent performs preliminary actions by generating multiple candidate images with pre-calculated deformation models before the actual slippage measurement. This preliminary generation of various possible states allows the system to quickly identify the correct alignment without difficulty, as the search space is already prepared and structured.
Solution Approach 2:
The patent implements feedback through the evaluation process that compares each candidate image's registration accuracy. The system uses this feedback to select the candidate with the highest accuracy, thereby automatically adapting to the actual motion of the region of interest and simplifying the detection of slippage despite organ movement.
3Ease of operation
If conventional techniques are used to calculate slippage between moving regions, then the process simplicity is maintained, but the measurement precision of slippage calculation deteriorates
Solution Approach 1:
The patent introduces dynamics into the calculation process by allowing multiple deformation models and selecting the best match based on registration accuracy. While this increases computational steps, it maintains ease of operation through automated selection and provides high measurement precision by adapting to actual organ movement patterns.
Solution Approach 2:
The patent uses candidate images as intermediaries between the input medical images and the final slippage measurement. These intermediate candidate images with different deformation characteristics serve as a bridge, allowing the system to accurately determine slippage by comparing against multiple possible states before selecting the best match.
Data Source
AI summary
An image processing apparatus according to the present invention calculates, even in a case where a region of a part as an observation target included in an image capturing range is different between a plurality of medical images in different time phases, a degree of slippage of the region of the part as the observation target with high accuracy.