Medical Image Registration With Deformation Abnormality Detection
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Solution Overview
Problem
Accurate registration between medical image data sets is challenging when the subject's position or posture significantly differs between the images, leading to difficulties in aligning anatomical structures.
Innovation Solution
An image processing apparatus that performs registration by first applying initial registration processing to a predetermined stage, determining deformation abnormalities, and then switching to a second registration method tailored to specific local anatomical structures to correct misalignments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional registration technique is used to align medical image data, then the processing can be completed efficiently, but the registration accuracy deteriorates when the subject's position or posture differs considerably between images
Solution Approach 1:
The registration process is divided into multiple stages: initial registration processing to establish a baseline alignment, determination processing to detect deformation abnormalities, and second registration processing to correct specific misalignments. This segmentation allows the system to handle different types of misalignment systematically, improving both accuracy and adaptability to various position and posture differences.
Solution Approach 2:
The determination processing unit analyzes intermediate deformation information and provides feedback about deformation abnormalities to the second registration processing unit. This feedback mechanism enables the system to detect registration failures or abnormalities and automatically adjust the registration approach, thereby maintaining high accuracy even when subject position or posture differs considerably between images.
2Measurement precision
If the system performs complete registration processing from scratch, then the registration accuracy is maintained, but the processing time increases
Solution Approach 1:
The initial registration processing is performed as a preliminary action to establish a baseline alignment before the determination and second registration processing. This preliminary step reduces the complexity of subsequent processing by pre-aligning the images, thereby maintaining registration accuracy while reducing the overall processing time compared to performing complete registration from scratch.
Solution Approach 2:
Instead of always performing complete registration processing, the system performs partial registration processing (initial registration) followed by selective second registration processing only when deformation abnormalities are detected. This partial action approach maintains accuracy for most cases while significantly reducing processing time for images that require only basic alignment.
3Adaptability or versatility
If the system uses a single registration method for all cases, then the device complexity is reduced, but the ability to handle different deformation abnormalities is limited
Solution Approach 1:
The registration system is designed to be dynamic rather than static. The determination processing unit dynamically analyzes the deformation characteristics of each image pair and automatically selects the appropriate second registration processing method based on the detected abnormalities. This dynamic adaptation allows the system to handle various deformation types effectively while managing complexity through automated decision-making rather than requiring multiple manually configured methods.
Data Source
AI summary
An image processing apparatus includes an acquisition unit configured to acquire first medical image data and second medical image data obtained by imaging a subject, an intermediate deformation information acquisition unit configured to acquire intermediate deformation information obtained by applying registration processing up to a predetermined stage in first registration processing including a plurality of stages to the acquired first medical image data and second medical image data, a determination unit configured to perform determination of a deformation abnormality with respect to the acquired intermediate deformation information, and a deformation unit configured to perform, in a case where the determination unit determines that there is the deformation abnormality, second registration processing different from the first registration processing with respect to the first medical image data and the second medical image data and calculate deformation information.