Ophthalmic Image Processing for Rapid Surgical View Adjustment
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Solution Overview
Problem
Conventional ophthalmic observation apparatuses require manual and time-consuming image quality adjustments, which vary based on user preferences and surgical phases, leading to prolonged examination and surgery times.
Innovation Solution
An ophthalmic observation apparatus with automated image quality adjustment capabilities, utilizing a controller to manage illumination and observation optical systems, and a processing system that applies multiple image processing techniques to generate and display multiple image variations for user selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple types of ophthalmological observations (anterior segment, posterior segment, intraocular foreign body) are performed using separate devices, then each device can be optimized for its specific function, but the overall system complexity increases and requires multiple separate examinations
Solution Approach 1:
The patent combines anterior segment observation, posterior segment observation, and intraocular foreign body observation capabilities into a single integrated ophthalmological observation device. This merging allows the system to perform multiple types of examinations using one device, reducing the need for multiple separate devices while maintaining specialized functionality for each observation type through configurable imaging parameters and processing modes.
2Measurement precision
If conventional ophthalmological observations are performed without removing eye cosmetics, then patient comfort is maintained, but observation precision is significantly reduced due to interference from cosmetics
Solution Approach 1:
The system performs preliminary assessment of cosmetic presence and characteristics before the main observation procedure. By detecting cosmetics in advance, the system can adjust imaging parameters, select appropriate processing algorithms, and guide the examination to compensate for cosmetic interference, thereby maintaining observation precision without requiring complete removal of cosmetics.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor image quality and detect the presence of cosmetics during observation. Based on this feedback, the system automatically adjusts imaging parameters and processing methods to mitigate cosmetic interference, enabling precise observations even when cosmetics are present on the patient's face or eyelids.
3Measurement precision
If detailed ophthalmological examinations are performed to ensure diagnostic accuracy, then measurement precision improves, but the time required for examination increases
Solution Approach 1:
The examination process is segmented into multiple stages with increasing detail. The system first performs a rapid screening examination to identify obvious conditions, then selectively performs more detailed observations only for areas or conditions that require further investigation. This segmented approach ensures diagnostic accuracy for critical findings while minimizing unnecessary examination time for normal findings.
Solution Approach 2:
The system dynamically adjusts the level of examination detail based on initial findings, patient symptoms, and clinical context. Rather than performing a fixed comprehensive examination on all patients, the system adapts the examination protocol in real-time, intensifying observation in areas of concern and reducing detail in normal areas, thereby optimizing the balance between diagnostic accuracy and examination time.
Data Source
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AI summary
An ophthalmological observation device (1) according to an exemplary embodiment of the present invention is used to observe a subject's eye. This ophthalmological observation device (1) comprises a moving image generation unit (surgical operation microscope 10), an image processing unit (data processing unit 210, image processing unit 211), and a display control unit (main control unit 201). The moving image generation unit generates a first moving image by imaging a subject's eye. The image processing unit creates multiple processed images by applying, to each of still images included in the first moving image generated by the moving image generation unit, first image processing that uses multiple values of different predetermined image parameters. The display control unit causes the respective processed images created by the image processing unit to be displayed on a first display device (display device 3).