VR 3D Eye-Inspection via Multi-Modal Image Registration
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Solution Overview
Problem
Current medical visualization systems for eye examination and surgery lack the ability to seamlessly combine images from multiple optical imaging modalities into a coherent, real-time virtual reality image, especially in complex optical systems like the eye, which complicates surgical procedures due to varying focal lengths, fields of view, and motion during surgery.
Innovation Solution
A medical visualization apparatus comprising multiple imaging devices mounted on robotic arms with magnetic sensors for position tracking, allowing the processor to estimate and align the viewing directions and positions of these devices, combining images into a virtual reality image presented on virtual reality eyeglasses, enabling enhanced visualization and freedom of viewing directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple imaging devices with different focal lengths and fields of view are used to examine the eye, then comprehensive visualization of eye structures is improved, but image alignment and registration complexity increases
Solution Approach 1:
A coordinate system registration module acts as an intermediary between multiple imaging devices with different focal lengths and fields of view. This module establishes a unified coordinate system that enables automatic alignment and integration of images from various modalities (OCT, microscope, camera), transforming the complex registration problem into a standardized coordinate transformation process.
Solution Approach 2:
The system employs a universal coordinate system framework that can handle multiple imaging modalities simultaneously. This multi-functional approach allows the same registration and visualization infrastructure to process images from OCT devices, microscopes, and cameras, each with different optical characteristics, without requiring modality-specific alignment procedures.
2Reliability
If real-time image combination from multiple moving imaging devices is implemented, then surgical visualization quality is improved, but computational processing requirements increase
Solution Approach 1:
The system performs preliminary coordinate system registration and transformation matrix calculation before the actual surgical procedure. By pre-establishing the spatial relationships between different imaging devices and pre-computing transformation matrices, the system reduces the computational burden during real-time surgery to simple matrix applications rather than complex registration calculations.
Solution Approach 2:
The system replaces complex real-time mechanical coordinate registration with computational matrix transformations. Instead of physically aligning devices during surgery, the system uses pre-computed transformation matrices to mathematically align images in the unified coordinate system, significantly reducing real-time computational requirements.
3Measurement precision
If position tracking of robotic arms is implemented to maintain imaging device stability, then image registration accuracy is improved, but system complexity increases
Solution Approach 1:
The robotic arms are equipped with integrated position tracking sensors that automatically monitor and report their own positions and orientations. This self-service capability allows the system to continuously update the coordinate transformations based on actual device positions without requiring external tracking infrastructure, maintaining high registration accuracy while minimizing additional system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution allows for improved visualization and easier performance of eye surgeries by providing a comprehensive, real-time, multi-modal 3D virtual reality image, reducing hazards and enhancing surgical precision by compensating for motion and registration issues between different imaging modalities.
Implementation Method 1
multiple magnetic sensors, which are coupled with the two or more imaging devices, are configured to output, in response to a magnetic field of a position tracking system, signals indicative of positions and viewing directions of the two or more imaging devices
Data Source
AI summary
A medical visualization apparatus includes two or more imaging devices, two or more robotic arms, multiple magnetic sensors coupled with the imaging devices, and a processor. The two or more imaging devices are configured to acquire images of an organ of a patient. The two or more robotic arms are configured to move the respective imaging devices. The multiple magnetic sensors are configured to output, in response to a magnetic field of a position tracking system, signals indicative of positions and viewing directions of the imaging devices. The processor is configured to estimate a position and a viewing direction of each of the imaging devices based on the signals, and, using the estimated positions and viewing directions, combine the images of the organ acquired by the imaging devices into a virtual reality (VR) image of the organ, and present the VR image to a user on a VR viewer.