API-Based Ophthalmology Imaging Control for Seamless Diagnosis
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Solution Overview
Problem
Existing ophthalmology imaging systems require dedicated software for each device, leading to increased human, time, and financial costs due to separate data registration and adaptation to new devices, complicating seamless operations from image capture to diagnosis support.
Innovation Solution
An ophthalmology information processing system that generates instructions via an API or SDK to control ophthalmology imaging devices, enabling seamless operations from image capture to diagnosis support, allowing devices to operate in remote or local modes, and reducing the need for separate data registration and management of identification information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated software is used for each ophthalmology imaging device, then device-specific functionality is optimized, but system complexity and operational costs increase
Solution Approach 1:
The patent implements a universal control system that can operate multiple ophthalmology imaging devices through a standardized interface. The system includes a device selection unit and control unit that can switch between different imaging devices (fundus camera, OCT, SLO) using common control logic, eliminating the need for separate dedicated software for each device while maintaining device-specific functionality through configured parameters.
Solution Approach 2:
The patent introduces a standardized interface as an intermediary layer between the control system and various ophthalmology imaging devices. This interface includes standardized commands for image acquisition, data transmission, and device control, allowing the control system to communicate with different devices without direct device-specific programming, thus reducing overall system complexity.
2Measurement precision
If separate data registration is performed for each imaging device, then device data can be accurately registered, but time and human resources are consumed
Solution Approach 1:
The patent employs parameter change principles by allowing the system to switch between different imaging devices through configuration parameters rather than physical reconfiguration. The control unit changes operational parameters to adapt to different device types (fundus camera, OCT, SLO) while maintaining consistent data registration processes, thereby achieving accurate registration without time-consuming device-specific setup.
Solution Approach 2:
The system performs preliminary device selection and configuration before data registration begins. The device selection unit pre-identifies the target imaging device and loads the corresponding control parameters in advance, allowing the data registration process to proceed directly without time-consuming initial setup or reconfiguration for each device.
3Adaptability or versatility
If adaptation to new imaging devices is required, then device-specific features can be optimized, but development costs and time increase
Solution Approach 1:
The control system is designed with universal adaptability to handle multiple ophthalmology imaging devices through a single standardized control architecture. When a new device is introduced, the system can accommodate it by adding device-specific parameters to the existing control framework rather than requiring complete software redevelopment, thus optimizing device features while minimizing adaptation time and costs.
4Productivity
If centralized control is implemented, then operational efficiency is improved, but system complexity increases
Solution Approach 1:
The standardized interface acts as an intermediary that simplifies the control system architecture by providing a uniform layer of abstraction. This interface handles the complexity of device-specific communication protocols internally, allowing the centralized control unit to issue simple, device-agnostic commands while maintaining high operational efficiency across different imaging devices without increasing visible system complexity.
Data Source
AI summary
A control method includes: an instruction step of transmitting an instruction to an ophthalmological imaging device to execute an imaging-related operation; an acquisition step of acquiring, from the ophthalmology imaging device, a subject's eye image taken in accordance with the instruction; and a diagnosis support step of outputting diagnosis support information for the subject's eye image. The instruction step further includes generating the instruction to meet a specification of an API (Application Programming Interface) or an SDK (Software Development Kit) as a software interface.