Eye Fundus OCT Imaging for Non-Invasive Coagulation Detection
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Solution Overview
Problem
Existing methods lack a non-invasive means to accurately detect the state of a patient's circulatory system, particularly in the context of thrombophilia, thrombus symptoms, and conditions like sepsis and disseminated intravascular coagulation (DIC), which are critical for managing infectious diseases.
Innovation Solution
A medical system utilizing optical coherence tomography (OCT) and OCT angiography to analyze the eye fundus for blood flow and vessel characteristics, combined with machine learning models, to generate information on blood coagulation, fibrinolysis, and circulatory health, enabling remote data processing and transmission to healthcare providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive methods are used to detect circulatory system state, then measurement precision is improved, but ease of operation deteriorates and object-affected harmful factors increase
Solution Approach 1:
The patent uses the eye fundus as an intermediary observation target. Instead of directly accessing the circulatory system, the system captures images of the eye fundus which contain indirect information about blood flow velocity, vessel diameter, and circulatory health. This intermediary approach allows non-invasive measurement while maintaining diagnostic value.
Solution Approach 2:
The patent replaces invasive mechanical procedures with optical imaging technology. By using cameras and image processing algorithms to analyze eye fundus images, the system substitutes direct physical contact and invasive sampling with non-contact optical methods, thereby eliminating infection risks while preserving measurement capability.
2Measurement precision
If complex medical knowledge and advanced techniques are required to detect disease symptoms, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent enables the eye fundus images to self-reveal circulatory system information through automated image processing. The system uses algorithms to automatically extract blood flow velocity, vessel diameter, and other circulatory parameters directly from the images without requiring manual intervention or complex analytical procedures by medical professionals.
Solution Approach 2:
The patent transforms complex circulatory system parameters into observable image features. By changing the representation from direct blood flow measurements to visual patterns in eye fundus images, the system makes complex physiological information accessible through simple imaging technology that can be processed automatically.
3Measurement precision
If direct observation of circulatory system is performed, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent uses eye fundus imaging as an intermediary that provides indirect but accurate observation of the circulatory system. The eye fundus serves as a visible window through which blood flow characteristics can be observed and measured without directly accessing the blood vessels, combining ease of imaging with diagnostic precision.
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 states, reducing healthcare worker infection risk by allowing remote examination and data analysis, thus facilitating early detection and management of conditions like thrombosis and sepsis.
Implementation Method 1
The data acquiring unit is configured to acquire data from an eye fundus of a patient by means of at least one optical method... the at least one optical method includes at least one of optical coherence tomography blood flow measurement (OCT blood flow measurement), optical coherence tomography angiography (OCT-A)
Implementation Method 2
The OCT apparatus is configured to collect data by applying optical coherence tomography (OCT) scanning to the eye fundus
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.


