Adaptive Retinal Imaging System with Real-Time Eye Movement Correction
Legal Citation
Summary of the Inventive Concept
A next-generation retinal camera system that leverages machine learning, artificial intelligence, and modular design to dynamically adapt to eye movement, ensuring high-quality fundus images and revolutionizing ophthalmic imaging.
Background and Problem Solved
The original patent disclosed retinal cameras with movable optical stops, but these systems were limited by their inability to adapt to real-time eye movement, resulting in distorted images. The new inventive concept addresses this limitation by incorporating advanced technologies to predict and correct for eye movement, providing a paradigm shift in retinal imaging.
Detailed Description of the Inventive Concept
The adaptive retinal imaging system features a dynamically adjustable optical stop, repositioned in real-time based on machine learning-based predictions of eye movement patterns. The system incorporates an infrared light source, an eye tracker, and a controller configured to correct for distortions caused by eye movement during imaging. The modular design enables rapid customization and adaptation to diverse ophthalmic imaging applications. The system can also utilize artificial intelligence to identify and correct for distortions caused by eye movement during imaging.
Novelty and Inventive Step
The new inventive concept introduces a novel combination of machine learning, artificial intelligence, and modular design to enable real-time eye movement correction, distinguishing it from the original patent's mechanical approach. The inventive step lies in the integration of these advanced technologies to provide a more accurate and efficient retinal imaging system.
Alternative Embodiments and Variations
Alternative embodiments may include the use of different machine learning algorithms, varied optical stop designs, or integration with other ophthalmic imaging modalities. Variations may also include the use of the system for other medical imaging applications, such as imaging the anterior segment of the eye.
Potential Commercial Applications and Market
The adaptive retinal imaging system has significant commercial potential in the ophthalmic imaging market, particularly in the diagnosis and monitoring of retinal diseases. The system's ability to provide high-quality images and adapt to diverse imaging applications makes it an attractive solution for ophthalmologists, optometrists, and medical researchers.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B3/14 |
| A | A61 | A61B3/113 |
| A | A61 | A61B3/12 |
| G | G02 | G02F1/1334 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Ophthalmic imaging systems, specifically retinal camera technologies involving optical stop mechanisms, eye tracking, and image capture techniques. Requires expertise in optical engineering, medical imaging, and electronic control systems
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or optical systems designer with advanced degrees in engineering, proficient in medical imaging technologies, optical design, machine learning, and electronic control systems with 5-10 years of professional experience in ophthalmic imaging development
Obviousness Rationale
A PHOSITA would recognize that integrating machine learning and AI-driven eye movement correction into an existing retinal camera system represents a predictable technological evolution. The source patent's foundational teachings of dynamic optical stop repositioning provide a clear technical framework that naturally suggests incorporating advanced tracking and correction technologies. The PTD's variations represent incremental improvements using known techniques in machine learning and adaptive imaging systems.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,260 |
|---|---|
| Title | Retinal cameras having movable optical stops |
| Assignee(s) | VERILY LIFE SCIENCES LLC |