Enhanced Functional OCT Image Data Processing through Synergistic Combinations
Legal Citation
Summary of the Inventive Concept
This inventive concept integrates functional OCT image data processing with advanced technologies like AI, blockchain, IoT, and more to provide a more powerful system for analyzing retinal responses to light stimuli.
Background and Problem Solved
The original patent's functional OCT image data processing has limitations in terms of accuracy, security, and scalability. This new concept addresses these limitations by incorporating synergistic combinations of distinct technologies to enhance the processing of functional OCT image data.
Detailed Description of the Inventive Concept
The inventive concept involves integrating an OCT imaging device with advanced technologies such as artificial intelligence algorithms, blockchain-based secure data processing, machine learning algorithms, IoT-based data transmission protocols, graph-based neural networks, and natural language processing algorithms to calculate the rolling window correlation between OCT image data and stimulus indicators. This enables the generation of a more accurate indication of a response of the retina to the light stimulus, as well as enhanced security, scalability, and visualization capabilities.
Novelty and Inventive Step
The new claims introduce novel combinations of functional OCT image data processing with advanced technologies, providing an inventive step beyond the original patent. The use of AI, blockchain, IoT, and other technologies enables a more powerful and efficient system for analyzing retinal responses.
Alternative Embodiments and Variations
Alternative embodiments may include using different AI algorithms, blockchain protocols, or IoT transmission protocols. Variations may also include integrating the inventive concept with other medical imaging modalities or using it for analyzing responses to different types of stimuli.
Potential Commercial Applications and Market
The enhanced functional OCT image data processing system has potential commercial applications in the medical imaging industry, particularly in ophthalmology and optometry. The target market includes hospitals, clinics, and research institutions seeking to improve their retinal analysis capabilities.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B3/102 |
| A | A61 | A61B3/0008 |
| A | A61 | A61B3/0025 |
| G | G06 | G06T7/0012 |
| G | G06 | G06T7/11 |
| G | G06 | G06T2207/30041 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging and signal processing, specifically optical coherence tomography (OCT) data analysis, involving interdisciplinary techniques in medical imaging, computer vision, and signal processing technologies
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with advanced degrees in biomedical engineering, medical imaging, or computer science, possessing expertise in signal processing algorithms, medical image analysis, and emerging computational technologies
Obviousness Rationale
A person having ordinary skill would recognize that integrating advanced computational technologies like AI, blockchain, and machine learning into existing OCT data processing methods represents a predictable extension of known signal processing techniques. The source patent's fundamental approach of correlating OCT image data with stimulus indicators provides a clear technical foundation for incorporating emerging computational methodologies. These technological integrations represent straightforward algorithmic enhancements that would be apparent to a skilled practitioner seeking to improve functional OCT data processing capabilities.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,257 |
|---|---|
| Title | Functional oct data processing |
| Assignee(s) | OPTOS PLC |