Enhanced Optical Coherence Tomography Scan Control

Publication ID: 24-11857256_0001_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Optical Coherence Tomography Scan Control,” Published Technical Disclosure No. 24-11857256_0001_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857256_0001_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 system and method for improving the accuracy and efficiency of optical coherence tomography (OCT) scans by leveraging machine learning, real-time feedback, and advanced image processing algorithms.

Background and Problem Solved

Conventional OCT scan control methods often rely on manual input and may result in inaccurate or incomplete scans. The original patent addressed this issue by introducing a computer-readable storage medium for designating OCT scan locations. However, limitations in the original patent include the lack of real-time feedback, limited accuracy, and inadequate handling of irregularly shaped eyes. The new inventive concept addresses these limitations by incorporating machine learning algorithms, real-time user feedback, and advanced image processing techniques.

Detailed Description of the Inventive Concept

The enhanced OCT scan control system comprises a machine learning module that predicts optimal scan locations based on patient data and prior scan results. The system also incorporates real-time feedback from a user, which is used to adjust the scan location and parameters in real-time. Additionally, the system includes advanced image processing algorithms to compensate for irregularly shaped eyes and automatically detect and correct for eye movement during the scan. The system is implemented using a high-resolution display and a touch-sensitive input device, enabling users to intuitively select and adjust scan locations and parameters using touch gestures.

Novelty and Inventive Step

The new inventive concept introduces the novel combination of machine learning algorithms, real-time user feedback, and advanced image processing techniques to improve the accuracy and efficiency of OCT scans. The use of machine learning to predict optimal scan locations, real-time feedback to adjust scan parameters, and advanced image processing to handle irregularly shaped eyes represents a significant departure from the original patent and existing OCT scan control methods.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept may include the use of different machine learning algorithms, varying levels of user feedback, or alternative display and input devices. Variations may also include the application of the inventive concept to other medical imaging modalities or the integration of additional features, such as automated scan protocol optimization or real-time quality control.

Potential Commercial Applications and Market

The enhanced OCT scan control system has significant commercial potential in the ophthalmology and medical imaging industries, where accurate and efficient scans are critical for diagnosis and treatment. The system's ability to improve scan accuracy, reduce errors, and enhance user experience makes it an attractive solution for hospitals, clinics, 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 a focus on user interface design, image processing, and diagnostic scanning techniques in ophthalmology

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical imaging specialist with expertise in optical imaging technologies, computer vision, human-computer interaction, and medical diagnostic software with advanced knowledge of touch-based interfaces and machine learning applications in medical imaging

Obviousness Rationale

A person having ordinary skill would recognize that the PTD's machine learning and real-time feedback enhancements represent predictable improvements to the existing OCT scan control methodology disclosed in the source patent. The integration of machine learning algorithms for scan optimization and touch-based interface refinements are logical extensions of the existing technological framework, applying known techniques to enhance diagnostic imaging precision and user interaction.

Obvious Combinations & Variations

Source Patent Element
Touch-sensitive input device for OCT scan location designation
PTD Variation
Machine learning-enhanced touch interface for predicting and adjusting scan locations based on patient data
Obviousness Reasoning
Applying machine learning to existing touch interface technologies represents a predictable enhancement that a skilled practitioner would find obvious as an incremental improvement in medical imaging user interfaces
Source Patent Element
Basic OCT scan location selection method
PTD Variation
Real-time feedback mechanism for dynamically adjusting scan parameters during imaging process
Obviousness Reasoning
Implementing adaptive scanning techniques is a known approach in medical imaging, representing an obvious optimization of existing scan control methodologies
Source Patent Element
Standard OCT scanning approach
PTD Variation
Advanced image processing algorithms to compensate for eye movement and irregular eye shapes
Obviousness Reasoning
Developing computational techniques to improve imaging accuracy is a standard problem-solving approach in medical imaging technologies
Source Patent Element
Basic touch-based image interaction
PTD Variation
Intuitive touch gestures for comprehensive scan parameter manipulation
Obviousness Reasoning
Expanding touch interface capabilities represents a predictable design evolution in user interaction technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857256 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The combination of known medical imaging techniques, machine learning algorithms, and touch-based interface technologies demonstrates that the claimed subject matter represents an obvious extension of existing technological capabilities in optical coherence tomography scanning systems.

Original Patent Information

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