Spatial Eye Mapping for Ophthalmic Feature Tracking
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Solution Overview
Problem
Ophthalmic surgical procedures face challenges in tracking and re-locating key clinical features, such as limbal relaxing incisions, retina breaks, and stent insertion sites, which become difficult to visualize as the surgery progresses, especially when they are outside the current field of view.
Innovation Solution
A system and method that generates a spatial map of the eye using intra-operative and pre-operative images, allowing for the storage and recall of clinical features, including navigation to these features using digital markers and automated tracking, thereby enhancing visualization and surgical planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a surgical microscope is used to provide magnified view of target anatomy, then visualization precision is improved, but the field of view is limited and key clinical features may fall outside the current view
Solution Approach 1:
The system transitions from a two-dimensional microscope view to a three-dimensional spatial map that encompasses the entire eye. The spatial map integrates multiple images taken at different positions and orientations, creating a comprehensive volumetric representation that allows surgeons to navigate and locate clinical features throughout the entire eye structure, not just within the limited microscope field of view.
2Measurement precision
If multiple images are captured during surgery to track clinical features, then tracking accuracy is improved, but the complexity of managing and correlating these images increases
Solution Approach 1:
The system merges multiple individual images into a unified spatial map by integrating them through registration algorithms. Instead of managing separate images independently, the system combines them into a single coherent three-dimensional representation where all clinical features are spatially correlated, significantly reducing the complexity of image management while maintaining high tracking accuracy.
Solution Approach 2:
The spatial map serves as an intermediary data structure that mediates between the captured images and the surgical navigation system. It provides a standardized framework for storing, organizing, and retrieving clinical feature locations, simplifying the interaction between multiple images and the surgical workflow.
3Adaptability or versatility
If surgeons manually track and re-locate clinical features during surgery, then flexibility is maintained, but time consumption and surgeon effort increase
Solution Approach 1:
The spatial map system enables self-service navigation by automatically storing and retrieving clinical feature locations based on spatial coordinates. The system autonomously tracks and recalls feature positions without requiring manual intervention, allowing surgeons to quickly locate features by navigating to their stored coordinates rather than manually searching through multiple images or relying on memory.
Data Source
AI summary
A system for tracking an ophthalmic surgery. The system includes at least one digital camera configured to generate images of an eye, a memory comprising executable instructions, and an electronic control unit (ECU) in data communication with the memory. The ECU is configured to execute the executable instructions to collect images of an eye with at least a portion of the images being obtained intra-operatively and to create a spatial map of the eye based at least partially on the images of the eye. The ECU is also configured to execute the executable instructions to store at least one parameter regarding a clinical feature of the eye in connection with a spatial registration of clinical feature in the spatial map and recall a location of the clinical feature by tracking a location of the clinical feature in the spatial map.