Retinal OCT Circulatory Detection for Non-Invasive Thrombosis Screening
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for detecting the state of a patient's circulatory system are invasive and lack precision in identifying conditions such as thrombophilia, thrombus symptoms, sepsis, disseminated intravascular coagulation (DIC), and vascular occlusion.
Innovation Solution
A medical system utilizing optical methods like OCT and OCT-A to non-invasively acquire data from the eye fundus, process it using machine learning models, and transmit the generated information to a remote doctor's terminal for precise detection of circulatory system conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive methods are used to detect circulatory system conditions, then measurement precision may be improved, but the risk of infection and patient discomfort increases
Solution Approach 1:
The patent uses the retina as an intermediary organ to detect circulatory system conditions. Instead of directly accessing blood vessels, the system captures retinal images that reflect circulatory health through the shared vascular connection between ocular and systemic circulation. This intermediary approach enables non-invasive measurement while maintaining diagnostic value.
Solution Approach 2:
The patent replaces invasive mechanical procedures (such as blood draws or direct vessel access) with optical imaging technology. By using cameras and image processing algorithms to analyze retinal vasculature, the system substitutes physical intrusion with light-based detection, eliminating infection risk while preserving measurement capability.
2Ease of operation
If healthcare workers directly handle patient data and equipment, then data acquisition is straightforward, but the risk of infection transmission increases
Solution Approach 1:
The patent creates digital copies of patient data through automated image capture and processing. The retinal images and extracted circulatory parameters are stored as digital records, eliminating the need for healthcare workers to physically handle biological samples or maintain direct contact with patient-specific equipment, thereby reducing infection transmission risk.
Solution Approach 2:
The system enables self-service data acquisition where patients can undergo retinal imaging with minimal healthcare worker involvement. The automated image capture and analysis processes reduce the duration and intensity of interactions between healthcare workers and patients, lowering infection transmission risk while maintaining operational efficiency.
3Measurement precision
If advanced optical methods and machine learning are implemented, then detection precision is improved, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional integrated system where a single retinal imaging platform performs multiple functions: capturing retinal images, extracting vascular parameters, analyzing circulatory conditions, and generating diagnostic reports. This universal approach consolidates what could be multiple separate devices into one system, managing complexity while enhancing detection precision through diverse analytical capabilities.
Solution Approach 2:
The patent segments the detection process into distinct modular components: image acquisition module, image processing module, parameter extraction module, and diagnostic analysis module. Each module performs a specific function and can be independently optimized or replaced, managing overall system complexity while achieving high precision through specialized sub-systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables non-invasive, precise detection of circulatory system conditions, reducing the risk of infection for healthcare workers by allowing remote data processing and analysis.
Implementation Method 1
The OCT apparatus is configured to collect data by applying optical coherence tomography (OCT) scanning to the eye fundus
Implementation Method 2
the data processor is configured to generate information on a blood coagulation and fibrinolytic system based at least on blood flow data acquired by the OCT blood flow measurement
Implementation Method 3
The data processor includes a WSR calculator configured to calculate a wall shear rate (WSR) based at least on the blood flow velocity and the blood vessel diameter
Implementation Method 4
The WSS calculator is configured to calculate wall shear stress (WSS) based at least on the wall shear rate and the blood viscosity information
Data Source
AI summary
A medical system of an aspect example includes a data acquiring unit and a data processor. The data acquiring unit is configured to acquire data from an eye fundus of a patient using at least one optical method. The data processor is configured to process the data acquired by the data acquiring unit in order to generate information on the circulatory system of the patient.