Image processing apparatus, image processing method, and image processing program
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Solution Overview
Problem
The registration between three-dimensional and two-dimensional medical images, such as during a transbronchial lung biopsy, often results in reduced accuracy due to local optimal solutions and increases the user's burden, especially when manual intervention is required.
Innovation Solution
An image processing apparatus and method that derives multiple transformation parameters through different registration methods, allows user validation of initial composite images, and generates alternative composite images based on user input, thereby refining the registration process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple transformation parameters are derived through different registration methods, then registration accuracy is improved, but device complexity and processing time increase
Solution Approach 1:
The system performs preliminary registration processing to derive multiple transformation parameters before final composite image generation. By pre-calculating multiple transformation parameters using different registration methods (rigid, affine, perspective) and storing them, the system avoids complex real-time calculations when generating composite images, thus improving registration accuracy while managing processing complexity.
Solution Approach 2:
The registration process is segmented into multiple independent transformation parameter derivations. Each transformation parameter (first, second, third) is derived through separate registration methods, allowing the system to selectively combine them. This segmentation enables the system to achieve high registration accuracy by choosing the most appropriate transformation parameters for different image regions without overwhelming processing complexity.
2Measurement precision
If user validation of composite images is required, then registration accuracy is improved, but user burden and processing time increase
Solution Approach 1:
The system generates multiple composite images (first, second, third composite images) using different transformation parameters, allowing the user to validate only the necessary portions. The user can select from pre-generated options rather than performing complete manual registration, achieving high accuracy through partial validation rather than full manual intervention.
Solution Approach 2:
The system creates multiple copies of composite images with different transformation parameters applied. Instead of requiring the user to perform complex manual registration, the system provides multiple pre-processed copies for selection, reducing user burden while maintaining the ability to achieve high registration accuracy through validation of these copies.
3Measurement precision
If multiple composite images are generated for user selection, then registration accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
Multiple composite images are generated in advance using different transformation parameters before final user selection. By pre-computing the first, second, and third composite images with their respective transformation parameters, the system avoids time-consuming calculations during the user selection phase, thus improving registration accuracy while minimizing additional processing time.
Solution Approach 2:
The system dynamically selects which transformation parameters to apply based on the specific registration scenario. Instead of always generating all possible composite images, the system can adaptively choose the most appropriate transformation parameters (rigid, affine, or perspective) for the given medical imaging context, improving accuracy while reducing unnecessary processing time.
Data Source
AI summary
An image processing apparatus acquires a first image and a second image, derives a first transformation parameter by performing registration between the first image and the second image, performs a control of displaying a first composite image in which the first image is superimposed on the second image using the first transformation parameter, acquires a second transformation parameter different from the first transformation parameter in a case where a user input represents that the first composite image is not valid, and performs a control of displaying a second composite image obtained by composing a plurality of images using one or more of the first transformation parameter and the second transformation parameter.