OCT Thumbnail Parameter Adjustment for Data Retrieval
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Solution Overview
Problem
Current optical tomographic imaging systems for ophthalmological diagnosis lack efficient data retrieval methods, making it difficult for operators to quickly grasp features and retrieve desired inspection data, which hampers examination efficiency.
Innovation Solution
An optical tomographic imaging apparatus and method that includes a tomographic image acquiring unit, a two-dimensional image acquiring unit, a patient information storage unit, and a display unit with a display control unit capable of adjusting image parameters, allowing for list displays and thumbnail image manipulation to facilitate easy data retrieval and improved examination efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If thumbnail images are displayed for patient data retrieval, then data retrieval speed is improved, but image clarity and feature visibility deteriorate
Solution Approach 1:
The thumbnail image display dynamically adjusts image parameters such as brightness, contrast, and sharpness based on user interaction and selection state. When a thumbnail is hovered over or selected, the system enhances its visual parameters to improve feature visibility without requiring full-resolution display, thus maintaining quick retrieval while improving clarity.
Solution Approach 2:
The system changes display parameters of thumbnail images including brightness, contrast, sharpness, and color saturation to optimize feature visibility. By adjusting these parameters, the system makes subtle image features more distinguishable in thumbnail form, enabling faster and more accurate data retrieval without losing clarity.
2Measurement precision
If multiple image parameters are adjusted for thumbnail optimization, then image retrieval accuracy is improved, but system complexity increases
Solution Approach 1:
The image processing functionality is segmented into distinct adjustable parameters (brightness, contrast, sharpness, color saturation) that can be independently optimized. This segmentation allows the system to manage complexity by treating each parameter separately while collectively achieving high retrieval accuracy through their combined effect.
Solution Approach 2:
The system automatically adjusts thumbnail image parameters based on pre-set optimization algorithms and user preferences, reducing the need for manual intervention. This self-service approach maintains high retrieval accuracy while minimizing the operational complexity for users.
3Measurement precision
If high-resolution images are displayed for all patients, then image quality is improved, but data retrieval efficiency deteriorates
Solution Approach 1:
The system applies different image qualities to different display contexts: thumbnails use optimized parameter adjustments for quick identification, while full-resolution images are reserved for detailed examination. This local quality differentiation maintains high image quality where needed while preserving overall examination efficiency through fast thumbnail browsing.
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 operators to easily retrieve and analyze desired inspection data by providing adjustable thumbnail images, improving examination efficiency and allowing for intuitive data retrieval and analysis.
Implementation Method 1
irradiating an object to be inspected with the measuring light to cause return light from the object to be inspected to interfere with the reference light, to thereby measure a layer of the object to be inspected
Implementation Method 2
an optical tomographic imaging apparatus, which performs optical coherence tomography (OCT) utilizing an interference phenomenon of multi-wavelength light, is an apparatus capable of obtaining a tomographic image of a sample with high resolution
Data Source
AI summary
Provided is an optical tomographic imaging apparatus including: a tomographic image acquiring unit for acquiring a tomographic image of an eye of a patient; a scanning type two-dimensional image acquiring unit for acquiring a two-dimensional image of the eye; a patient information storage unit for storing images acquired by the tomographic image acquiring unit and the scanning type two-dimensional image acquiring unit together with patient information; and a display unit. The display unit performs a list display of patient information of at least one patient stored in the patient information storage unit. When one patient is selected from a patient group in the list display, at least one past acquired tomographic image and a two-dimensional image acquired substantially simultaneously with the tomographic image of the patient are displayed as thumbnail images in a list. An image parameter of the tomographic image displayed as the thumbnail image is changeable.