Ocular Scene Tracking via Calibration Image Comparison
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Solution Overview
Problem
Current methods for diagnosing eye diseases often fail to track changes in ocular scenes over time, leading to delayed detection and potentially more severe treatment outcomes, as they lack the capability to utilize prior images or history during routine check-ups.
Innovation Solution
A system comprising an imaging instrument with an eyepiece, light source, and processing system that captures and compares ocular scene images to calibration images, detecting landmarks and tracking changes using machine-readable instructions and non-transitory media to associate and analyze captured images with calibration images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If routine eye checkups are performed every 6 months to 2 years at a physician's office, then professional diagnosis is ensured, but diseases may develop and go undiagnosed for years between checkups
Solution Approach 1:
The system performs preliminary imaging and change detection between professional checkups by capturing images with a portable device and comparing them against calibration images taken during physician visits. This preliminary monitoring action enables early detection of ocular changes before the next scheduled professional examination, reducing the time diseases go undiagnosed while maintaining diagnostic reliability through physician-verified calibration standards.
2Extent of automation
If computer aided diagnosis software is used to analyze images, then assistance to the physician is provided, but the algorithms do not utilize prior history or other images of the subject's eye
Solution Approach 1:
The system implements feedback by continuously comparing newly captured ocular images against historical calibration images and previously detected landmarks. The processing system automatically identifies changes in ocular scene characteristics and landmarks over time, feeding this temporal information back into the diagnosis process. This enables the automated system to utilize prior image history and track progressive changes, improving diagnostic accuracy while maintaining high automation levels.
3Ease of operation
If imaging is performed repeatedly in a home environment, then convenience is improved and timely detection is enabled, but calibration and landmark detection must be performed without physician presence
Solution Approach 1:
The system performs preliminary calibration by capturing calibration images during physician visits when professional guidance is available, establishing accurate landmark positions and ocular scene characteristics as reference standards. These pre-established calibration data are then used to automatically guide and validate subsequent home-based imaging sessions, enabling convenient repeated imaging while maintaining measurement precision through comparison against physician-verified calibration standards.
Data Source
AI summary
Systems, methods and apparatus are provided through which in some aspects an ocular scene is imaged and changes in the ocular scene relative to a calibration image, are tracked. In one aspect, an imaging instrument includes an eyepiece, a light source operable to project light, an imaging system operable to image an ocular scene; and a processing system operable to receive a set of calibration images, and further operable to capture an image of the imaged ocular scene associated with a calibration image. In another aspect, a method to track changes in an ocular scene includes receiving a set of calibration images, receiving a set of landmarks on each calibration image, capturing a set of images of an ocular scene, associating each captured image with a calibration image, and detecting landmarks on each captured image wherein each detected landmark corresponds to a landmark on the associated calibration image.