Handheld OCT Image Reconstruction via Motion Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Hand-held imaging devices, such as OCT-based endoscopes, face significant challenges in maintaining image quality due to shaking and vibration, which introduce distortion and skew, complicating the reconstruction of clear images during procedures like vitrectomy.
Innovation Solution
A position and motion tracking system is employed to record the relative position changes between the image acquirer and the object, using laser/LED beam-assisted position tracking and motion sensors to correct for displacement and vibration, enabling accurate image reconstruction by synchronizing data from position and motion tracking stages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If hand-held imaging devices are used for deep-tissue imaging, then accessibility and flexibility are improved, but image quality deteriorates due to shaking and vibration
Solution Approach 1:
The system performs preliminary tracking of the imaging device position and motion before image acquisition, storing this motion data for subsequent correction. By capturing position and acceleration information in advance, the system prepares the reference data needed to compensate for shaking and vibration effects during image reconstruction.
Solution Approach 2:
The system implements a feedback mechanism where motion sensors continuously monitor the imaging device's position and acceleration, and this information is fed back to correct the acquired images. The tracking data is used to transform and adjust the image coordinates, creating a closed-loop system that compensates for hand-held operation instability.
2Measurement precision
If position and motion tracking are implemented, then image reconstruction accuracy is improved, but device complexity increases
Solution Approach 1:
The imaging device integrates multiple functions into a single system: image acquisition, position tracking, motion sensing, and image correction. By combining these functions in one integrated platform, the system avoids the complexity of separate independent systems while achieving high measurement precision through coordinated operation of all components.
Solution Approach 2:
The patent introduces computational algorithms as an intermediary between the physical tracking sensors and the final image output. These algorithms process the raw position and acceleration data, transforming it into correction factors that adjust the image coordinates. This computational intermediary simplifies the overall system architecture by providing a unified processing layer.
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 approach effectively eliminates distortion and skew caused by operator-induced vibrations, resulting in clear and stable image reconstruction for hand-held endoscopic applications, enhancing the precision and reliability of imaging during surgeries.
Implementation Method 1
laser/LED beam-assisted position tracking
Implementation Method 2
motion sensors to correct for displacement and vibration
Data Source
AI summary
A system, method, and apparatus provide the ability to reconstruct an image from an object. A hand-held image acquisition device is configured to acquire local image information from a physical object. A tracking system obtains displacement information for the hand-held acquisition device while the device is acquiring the local image information. An image reconstruction system computes the inverse of the displacement information and combines the inverse with the local image information to transform the local image information into a reconstructed local image information. A display device displays the reconstructed local image information.