Published Technical Disclosure Archive

Next-Generation Optical Coherence Tomography Scan Control

Publication ID: 24-11857256_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Optical Coherence Tomography Scan Control,” Published Technical Disclosure No. 24-11857256_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857256_0010_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. 11,857,256.

Summary of the Inventive Concept

A revolutionary OCT scan control system that leverages deep learning, machine learning, and artificial intelligence to dynamically adjust scan parameters in real-time, ensuring optimal imaging outcomes and enhancing diagnostic capabilities.

Background and Problem Solved

Conventional OCT scan control methods rely on manual input and static scan parameters, resulting in suboptimal imaging outcomes and limited diagnostic capabilities. The original patent addressed the need for improved OCT scan control, but its limitations are overcome by the next-generation system, which integrates advanced technologies to provide real-time adaptability and precision.

Detailed Description of the Inventive Concept

The next-generation OCT scan control system comprises a deep learning-based neural network for analyzing eye movement patterns and predicting optimal scan locations, a retinal imaging module for capturing high-resolution images of the retina, and a control module for dynamically adjusting scan parameters based on the predicted optimal scan locations. The system continuously updates and refines scan parameters in real-time based on the user's gaze patterns and pupil dilation, ensuring optimal imaging outcomes. Alternative embodiments include a gaze-tracking module, a machine learning-based algorithm for identifying areas of interest on the retina, and a hybrid system integrating conventional OCT scanners with artificial intelligence-powered modules.

Novelty and Inventive Step

The integration of deep learning, machine learning, and artificial intelligence in real-time OCT scan control, enabling dynamic adjustment of scan parameters, represents a significant departure from the original patent and constitutes a novel and non-obvious inventive step.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept include the use of wearable devices with integrated eye-tracking sensors, cloud-based servers for processing and analyzing eye-tracking data, and feedback loops for continuously refining scan parameters. Variations may also include the application of the inventive concept to other medical imaging modalities, such as ultrasound or MRI.

Potential Commercial Applications and Market

The next-generation OCT scan control system has significant commercial potential in the ophthalmology and medical imaging markets, offering improved diagnostic capabilities, enhanced patient outcomes, and increased efficiency for healthcare professionals. Target industries include medical device manufacturers, healthcare providers, and research institutions.

CPC Classifications

SectionClassGroup
A A61 A61B3/0033
A A61 A61B3/0025
A A61 A61B3/0041
A A61 A61B3/102
A A61 A61B3/1225
G G06 G06F3/03547
G G06 G06F3/0485
G G06 G06F3/04845
G G06 G06F3/04883
G G06 G06F2203/04808

Field of Art

Medical imaging technologies, specifically optical coherence tomography (OCT) systems with advanced user interface and scan control mechanisms, requiring expertise in biomedical engineering, computer vision, machine learning, and medical device design

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biomedical engineering or medical imaging, proficient in computer vision algorithms, neural network design, medical device interface development, and understanding of ophthalmological imaging techniques

Obviousness Rationale

A person having ordinary skill in the art would recognize that integrating machine learning and artificial intelligence into existing OCT scan control systems represents a predictable technological evolution. The source patent's touch-based scan control interface naturally suggests opportunities for more sophisticated, adaptive control mechanisms. The proposed deep learning and real-time parameter adjustment techniques are logical extensions of existing OCT scanning methodologies, utilizing well-established machine learning approaches to enhance diagnostic imaging capabilities.

Obvious Combinations & Variations

Source Patent Element
Touch-sensitive input device for OCT scan location designation
PTD Variation
Deep learning neural network for analyzing eye movement patterns and predicting optimal scan locations
Obviousness Reasoning
Extending touch-based input to gaze-tracking and predictive scanning represents a known technique in human-computer interaction, with predictable improvements in user experience and diagnostic precision
Source Patent Element
Computer-readable storage medium for OCT scan control
PTD Variation
Cloud-based server processing eye-tracking data for remote scan parameter adjustment
Obviousness Reasoning
Transitioning local computational methods to cloud-based processing is a standard technological progression with well-understood implementation strategies
Source Patent Element
Method of designating OCT scan location through touch interactions
PTD Variation
Machine learning algorithm for identifying areas of interest on the retina and dynamically adjusting scan parameters
Obviousness Reasoning
Applying machine learning to medical imaging analysis is a recognized approach for enhancing diagnostic capabilities, representing an obvious optimization of existing scanning techniques
Source Patent Element
OCT scanner with touch-sensitive input interface
PTD Variation
Hybrid OCT scan control system integrating artificial intelligence-powered modules for data enhancement
Obviousness Reasoning
Augmenting traditional medical imaging systems with AI-powered analysis modules is a predictable technological advancement with clear potential for improved diagnostic outcomes
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857256 and the published technical disclosure, a person having ordinary skill in the art would find the proposed OCT scan control variations obvious and lacking inventive step. The integration of machine learning, artificial intelligence, and adaptive scanning techniques represents a logical and predictable extension of existing optical coherence tomography imaging technologies, thereby rendering potential patent claims obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,256
TitleOptical coherence tomography scan control
Assignee(s)OPTOS PLC