Imaging Configuration Synchronization Across Devices
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Solution Overview
Problem
In medical imaging, the inconsistency in configuration settings across different devices and operators leads to variations in medical images, affecting the accuracy of patient re-examinations and diagnosis, and requires significant user effort for setting up configurations on multiple devices.
Innovation Solution
A method and system that obtain historical configuration information to generate target configuration information matching the current scanning conditions, allowing for consistent imaging operations across different devices and operators by adjusting settings such as inspection processes, scanning schemes, and displaying configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually configure each device individually, then each device can be customized to user preferences, but user workload increases and data synchronization efficiency decreases
Solution Approach 1:
The system performs preliminary actions by automatically copying configuration information from a source device to a target device before the user needs to use it. The configuration data is pre-synchronized through the server, so when the user accesses a new device, the settings are already in place, eliminating the need for manual reconfiguration and reducing both workload and synchronization time.
Solution Approach 2:
The server acts as an intermediary between devices, receiving configuration information from one device and distributing it to other devices. This mediator approach allows automatic configuration synchronization without requiring direct user intervention or manual setup on each device, thereby reducing user workload while maintaining high synchronization efficiency.
2Adaptability or versatility
If different medical institutions use different scanning devices from various manufacturers, then each institution can select equipment based on their needs, but image consistency deteriorates and diagnostic accuracy decreases
Solution Approach 1:
The system implements a universal configuration management approach where a single set of configuration parameters can be applied across multiple devices from different manufacturers. The configuration information stored on the server is device-agnostic and can be automatically applied to various scanning devices, ensuring image consistency while allowing each institution to select equipment based on their specific needs.
Solution Approach 2:
The system standardizes configuration parameters into a unified format that can be adapted across different device types. By transforming and normalizing configuration data into universal parameters, the system ensures that the same imaging settings are applied consistently across devices from different manufacturers, maintaining image quality and diagnostic accuracy while preserving equipment selection flexibility.
3Ease of operation
If operators have varying proficiency levels with different equipment, then each operator can work at their skill level, but image quality variability increases and re-examination accuracy decreases
Solution Approach 1:
The system enables self-service operation where the scanning device automatically retrieves and applies the correct configuration information from the server based on the examination requirements. This eliminates the need for operators to manually adjust complex settings, allowing operators of varying skill levels to produce consistent, high-quality images without requiring extensive training or proficiency with specific equipment.
4Reliability
If configuration information is not synchronized across devices, then each device operates independently, but data synchronization efficiency is low and user effort is high
Solution Approach 1:
The system implements a feedback mechanism where the server continuously monitors and detects changes in configuration information on any connected device. When changes are detected, the server automatically updates the configuration data and notifies other devices to synchronize, ensuring all devices have the latest settings without requiring manual intervention. This feedback loop maintains device independence while achieving high synchronization efficiency.
Data Source
AI summary
Embodiments of the present disclosure provide a method, a system and a non-transitory computer readable medium for imaging. The method may include: obtaining historical configuration information; adjusting the historical configuration information to generate target configuration information matching a current scanning condition; and performing, using a first device, an imaging operation on the detection object based on the target configuration information, wherein an account, a current scanning device, an operator, or a detection object under the current scanning condition is different from an account, the historical scanning device, an operator, or a detection object under the historical scanning condition, respectively.