Enhanced Functional OCT Data Processing
Legal Citation
Summary of the Inventive Concept
An improved system and method for processing functional OCT image data, utilizing machine learning, GPU acceleration, adaptive window size selection, and parallel or distributed computing to enhance the accuracy and efficiency of retina response analysis.
Background and Problem Solved
The original patent disclosed an apparatus for processing functional OCT image data, but it had limitations in terms of processing time, accuracy, and adaptability. The new inventive concept addresses these limitations by introducing novel enhancements to the correlation calculator module, enabling faster, more accurate, and more efficient retina response analysis.
Detailed Description of the Inventive Concept
The enhanced system comprises a receiver module, a correlation calculator module, and a response generator module. The correlation calculator module utilizes machine learning algorithms trained on a dataset of known retina responses, GPU acceleration to reduce processing time by at least 50%, adaptive window size selection to optimize correlation calculation, or parallel or distributed computing architectures to further accelerate processing. These enhancements enable the generation of more accurate indications of retina responses to light stimuli, facilitating improved diagnosis and treatment of retinal diseases.
Novelty and Inventive Step
The new claims introduce novel enhancements to the correlation calculator module, including the use of machine learning algorithms, GPU acceleration, adaptive window size selection, and parallel or distributed computing architectures. These enhancements provide a significant improvement over the original patent, enabling faster, more accurate, and more efficient retina response analysis.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, varying GPU acceleration techniques, or alternative parallel or distributed computing architectures. Additionally, the system could be adapted for use with different types of OCT imaging devices or in combination with other diagnostic tools.
Potential Commercial Applications and Market
The enhanced system and method for processing functional OCT image data have significant commercial potential in the medical diagnostics industry, particularly in the diagnosis and treatment of retinal diseases such as age-related macular degeneration. The target market includes ophthalmology clinics, hospitals, and research institutions.
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 advanced computational techniques for medical diagnostic imaging
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with expertise in medical imaging, signal processing, machine learning, and high-performance computing, typically holding a PhD or equivalent professional experience in biomedical engineering, computer science, or related fields
Obviousness Rationale
A person having ordinary skill would recognize that the proposed enhancements to functional OCT data processing represent predictable improvements using standard computational techniques. The machine learning, GPU acceleration, and parallel processing approaches are well-established methods for enhancing computational performance and analysis accuracy in medical imaging domains. These variations represent straightforward extensions of the source patent's core methodology of correlating OCT image data with stimulus indicators.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,257 |
|---|---|
| Title | Functional oct data processing |
| Assignee(s) | OPTOS PLC |