Patient-Tuned Ophthalmic Imaging: Automated Focus and Multi-Modal Capture
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Solution Overview
Problem
Existing ophthalmic imaging systems face challenges in achieving precise focusing, particularly for patients with photophobia, and require extensive training to operate effectively, leading to patient discomfort and prolonged examination times.
Innovation Solution
The system employs a focus mechanism based on the difference between consecutive line scans to determine defocus measures, uses U-Net for optic nerve head identification, and provides patient-tuned imaging to reduce anxiety and enhance image capture efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fundus imaging with annular ring illumination is used, then the system is easier to operate, but the resolution and clarity of the retina image deteriorates
Solution Approach 1:
The patent segments the illumination into a narrow strip rather than using annular ring illumination, and segments the imaging process into focused line scanning. This segmentation allows for higher resolution imaging of the retina while maintaining operational simplicity through automated focusing algorithms that analyze the segmented line scan data.
2Loss of information
If multiple different types of images are captured, then the diagnostic information is improved, but the examination time and patient discomfort increase
Solution Approach 1:
The patent merges multiple imaging modalities (color imaging, infrared imaging, and angiography) into a single integrated system that can capture all necessary diagnostic information in one examination session. The unified platform uses a single camera system with different filter configurations, eliminating the need for separate imaging devices and reducing overall examination time while maintaining complete diagnostic information.
Solution Approach 2:
The imaging system is designed with universal functionality to perform multiple diagnostic tasks using a single platform. The system can switch between different imaging modes (color, infrared, angiography) and can capture various types of retinal images without requiring separate specialized equipment, thereby reducing examination time while preserving all necessary diagnostic information.
3Measurement precision
If high intensity illumination is used for imaging, then the image quality is improved, but patient discomfort and photophobia increase
Solution Approach 1:
The patent employs parameter changes by using infrared illumination instead of high-intensity visible light for certain imaging modes. The system can operate in infrared mode which provides sufficient image quality for diagnostic purposes while significantly reducing patient discomfort and photophobia. The illumination parameters are dynamically adjusted based on the imaging mode and patient tolerance.
4Reliability
If extensive training is provided for system operation, then the imaging competency is improved, but the time and resource investment increases
Solution Approach 1:
The system incorporates self-service features including automated focusing algorithms that analyze line scan data to determine optimal focus settings, and built-in guidance systems that assist operators in capturing appropriate images. These self-service capabilities reduce the need for extensive training while maintaining high imaging competency and reliability.
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
This approach allows for improved focusing and reduced examination time, accommodating photophobic patients by adjusting imaging settings based on their sensitivity, and providing multi-modal imaging with a single capture command.
Implementation Method 1
a focus mechanism based on the difference between consecutive line scans effectively converts broad lines into thin lines for purposes of determining a defocus measure
Implementation Method 2
Herein is provided a technique for identifying the ONH in an infrared (IR) preview image
Data Source
AI summary
An ophthalmic imaging system provides an automatic focus mechanism based on the difference of consecutive scan lines. The system also provides of user selection of a focus point within a fundus image. A neural network automatically identifies the optic nerve head in an FA or ICGA image, which may be used to determine fixation angle. The system also provides additional scan tables for multiple imaging modalities to accommodate photophobia patients and multi-spectrum imaging options.