Shared Object Registration for Surgical Imaging Alignment
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Solution Overview
Problem
Existing medical systems struggle to effectively coordinate interactions between multiple smart devices, particularly in surgical settings, due to static coordination methods that do not adapt to changing circumstances or patient parameters, leading to potential instability and predictability failures in patient care and monitoring.
Innovation Solution
The implementation of shared object registration allows systems to identify common objects in their respective fields of view, enabling accurate alignment of independent local reference planes and facilitating coordination between systems, even when they capture images from different angles or positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If systems use independent local reference planes to capture images from different angles, then the systems can operate independently and view objects from different perspectives, but the reference planes cannot be aligned accurately leading to coordination failures
Solution Approach 1:
The patent introduces a global reference frame as an intermediary that mediates between multiple independent local reference planes. Each local reference plane maintains its independence for capturing images from different angles, while the global reference frame provides a common coordinate system that enables accurate alignment and coordination between all local systems through transformation matrices.
2Device complexity
If systems use static coordination methods, then the systems can operate with simple coordination mechanisms, but the methods do not adapt to changing patient parameters leading to instability
Solution Approach 1:
The patent transforms static coordination methods into dynamic adaptive coordination. The system continuously monitors patient parameters and automatically updates transformation matrices between reference planes in real-time. This dynamic adjustment enables the coordination mechanism to adapt to changing patient positions and conditions while maintaining system stability and reliability.
3Loss of information
If systems share object registration data, then the systems can identify common objects and improve coordination, but the systems must manage complex reference plane transformations adding computational complexity
Solution Approach 1:
The patent segments the complex reference plane transformation management into modular components. Each local reference plane maintains its own transformation matrix relative to the global reference frame, and these transformations are composed systematically when sharing object registration data. This segmentation approach enables accurate object identification across multiple systems while managing computational complexity through structured organization.
Data Source
AI summary
Devices, systems, and techniques for a shared set of object registrations for devices with independent reference planes. An example imaging device may capture a first imaging data stream of a visualized surgical structure. The imaging device may communicate registration information with another surgical imaging device capturing a second imaging data stream of the visualized surgical structure. The imaging device may identify, based on the registration information, a first location, within the first imaging data stream, associated with the visualized surgical structure. The first location may be determinable based on: a first reference geometry associated with a field of view of the first surgical imaging device, a second reference geometry associated with a field of view of the second surgical imaging device, a transformation between the first reference geometry and the second reference geometry, and a reference landmark common to the first imaging data stream and the second imaging data stream.