Enhanced Optical Coherence Tomography Scan Control
Legal Citation
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
| Section | Class | Group |
|---|---|---|
| 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 |
Section 103 Obviousness Analysis (PHOSITA)
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
Original Patent Information
| Patent Number | US 11,857,256 |
|---|---|
| Title | Optical coherence tomography scan control |
| Assignee(s) | OPTOS PLC |