Published Technical Disclosure Archive

Synergistic Functional OCT Data Processing

Publication ID: 24-11857257_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Functional OCT Data Processing,” Published Technical Disclosure No. 24-11857257_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857257_0008_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,257.

Summary of the Inventive Concept

Integrating functional OCT image data processing with distinct technologies such as AI, IoT, blockchain, and new materials to create a more powerful system for generating indications of retinal response to light stimuli.

Background and Problem Solved

The original patent disclosed a method for processing functional OCT image data to generate an indication of retinal response to light stimuli. However, the patent's approach was limited to a single technology and lacked the benefits of synergistic combinations. The new inventive concept addresses this limitation by integrating functional OCT data processing with other distinct technologies, enabling more accurate, secure, and efficient processing of retinal response data.

Detailed Description of the Inventive Concept

The synergistic system comprises a receiver module configured to receive OCT image data and stimulus data, a correlation calculator module utilizing AI-based correlation calculation, an IoT-enabled receiver module for receiving data from multiple OCT imaging devices, a blockchain-based storage module for secure storage of calculated correlation values, and a machine learning-based analyzer module for identifying patterns in the calculated correlation values. The system can generate 3D printed models of the retina based on the calculated correlation values and display the results in a graphical format.

Novelty and Inventive Step

The new claims introduce novel synergistic combinations of functional OCT data processing with AI, IoT, blockchain, and new materials, providing a non-obvious improvement over the original patent by enabling more accurate, secure, and efficient processing of retinal response data.

Alternative Embodiments and Variations

Alternative embodiments may include integrating functional OCT data processing with other technologies such as cloud computing, edge computing, or advanced materials. Variations may include adapting the system for use in different medical applications, such as processing OCT data for cancer detection or monitoring.

Potential Commercial Applications and Market

The synergistic functional OCT data processing system has significant commercial potential in the medical imaging and diagnostics industry, particularly in ophthalmology and optometry. The system's ability to provide more accurate and efficient processing of retinal response data can improve diagnosis and treatment of retinal diseases, leading to increased market demand and potential revenue growth.

CPC Classifications

SectionClassGroup
A A61 A61B3/102
A A61 A61B3/0008
A A61 A61B3/0025
G G06 G06T7/0012
G G06 G06T7/11
G G06 G06T2207/30041

Field of Art

Medical imaging technologies, specifically optical coherence tomography (OCT) data processing, involving interdisciplinary skills in medical imaging, signal processing, machine learning, and data analysis 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 PHOSITA would recognize that the PTD's integration of AI, blockchain, and IoT technologies with the foundational OCT data processing method represents predictable combinations of known techniques in medical imaging and data management. The core rolling window correlation method remains substantially unchanged, with added computational and storage enhancements that would be considered routine optimization by a skilled practitioner. The variations represent straightforward extensions of the source patent's core technological framework using contemporaneous computational approaches.

Obvious Combinations & Variations

Source Patent Element
Rolling window correlation calculation between B-scans and stimulus indicators
PTD Variation
AI-based correlation calculation module replacing standard correlation methods
Obviousness Reasoning
Substituting machine learning algorithms for traditional statistical methods is a known technique in signal processing, representing a predictable improvement in computational efficiency and pattern recognition
Source Patent Element
Sequence of B-scans from a single OCT imaging device
PTD Variation
IoT-enabled receiver module for collecting data from multiple OCT imaging devices
Obviousness Reasoning
Expanding data collection across multiple devices is a standard architectural enhancement in medical imaging technologies, representing a straightforward scaling approach
Source Patent Element
Generation of correlation values from OCT image data
PTD Variation
Blockchain-based storage module for securing calculated correlation values
Obviousness Reasoning
Implementing blockchain for data integrity is a well-known technique in medical data management, representing a predictable security enhancement
Source Patent Element
Two-dimensional correlation calculations
PTD Variation
Machine learning-based analyzer module for identifying patterns in correlation values
Obviousness Reasoning
Applying advanced pattern recognition techniques to medical imaging data is a standard approach in contemporary computational medical technologies
Source Patent Element
OCT image data processing method
PTD Variation
3D printed model generation based on calculated correlation values
Obviousness Reasoning
Translating digital imaging data into physical models is a known technique in medical visualization, representing a predictable extension of existing data processing methods
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in this Published Technical Disclosure (PTD) would have been obvious to a Person Having Ordinary Skill In The Art at the time of invention, as the PTD represents a predictable combination of known techniques from US Patent 11857257, utilizing standard computational approaches to extend the original OCT data processing methodology through routine technological integrations.

Original Patent Information

Patent NumberUS 11,857,257
TitleFunctional oct data processing
Assignee(s)OPTOS PLC