Ophthalmic Navigation Image Generation Using Magnification Acquisition
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Solution Overview
Problem
Existing ophthalmic surgery guidance systems face challenges in presenting navigation information with high speed and precision due to computational complexity from alignment processing, especially with changes in imaging conditions such as rotation, scale, and illumination.
Innovation Solution
An information processing apparatus that includes a magnification acquisition unit and an image generation unit, which utilize the magnification changes between reference and target images to generate navigation images, reducing computational complexity by using known magnification for image matching, particularly employing SIFT methods with narrowed search ranges for characteristic point detection and matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If alignment processing is performed to update navigation information in response to imaging condition changes, then precision of navigation information is improved, but processing speed deteriorates due to high computational complexity
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing feature point information from examination images before surgery. This allows the system to quickly retrieve and match pre-prepared navigation information during surgery without performing complex real-time alignment calculations, thereby maintaining high precision while improving processing speed.
Solution Approach 2:
The patent extracts and separates the alignment processing into distinct stages: preoperative feature extraction and storage, and intraoperative matching and retrieval. By taking out the computationally intensive feature extraction step and performing it beforehand, the system reduces real-time computational complexity while preserving navigation precision through accurate feature matching.
2Reliability
If comprehensive alignment processing is performed to account for rotation, scale changes, and illumination changes, then reliability of navigation information is improved, but device complexity increases
Solution Approach 1:
The patent segments the alignment processing into multiple independent modules: feature point detection, rotation alignment, scale adjustment, and illumination normalization. Each module handles a specific aspect of alignment independently, making the overall system more manageable and less complex while maintaining comprehensive alignment capability for reliable navigation information.
Solution Approach 2:
The patent employs parameter changes by adjusting alignment parameters (rotation angles, scale factors, illumination levels) based on detected feature point correspondences between examination and surgery images. This allows the system to adapt to various imaging conditions dynamically without requiring a completely different processing approach for each condition, thereby improving reliability while controlling complexity.
Data Source
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AI summary
[Object] To provide an information processing apparatus that is capable of presenting navigation information for ophthalmic surgery at high speed and with high precision. [Solving Means] An information processing apparatus according to the present technology includes a magnification acquisition unit and an image generation unit. The magnification acquisition unit acquires a magnification of a target image with respect to a reference image, the reference image being an image of an eye to be treated, the target image being an image of the eye picked up at a time different from an imaging time of the reference image. The image generation unit generates a navigation image including navigation information for guiding treatment of the eye on the basis of the magnification acquired by the magnification acquisition unit.