Ultrasound Imaging Parameters Set from Operator Comments
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Solution Overview
Problem
The existing ultrasonic diagnostic systems require users to manually input conditions for generating color Doppler images after scanning an examination site, increasing the workload due to the need for visual recognition and manual setting of parameters.
Innovation Solution
The ultrasonic diagnostic device uses annotations added to initial images to automatically set conditions for generating subsequent images, such as color Doppler images, by processing the annotations to determine the region of interest and appropriate parameters, reducing the user's workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user manually inputs conditions for generating color Doppler images, then the image quality can be adjusted according to the organ depicted, but the workload and time required for operation increases
Solution Approach 1:
The system performs preliminary action by automatically detecting the organ type from the B-mode image and pre-setting appropriate color Doppler parameters before the user needs to generate the color Doppler image. This eliminates the need for manual parameter input and reduces operation time while maintaining reliable image quality adjustment.
Solution Approach 2:
The system applies self-service by automatically determining the organ type and setting color Doppler parameters based on the B-mode image characteristics, without requiring user intervention. The system serves itself by extracting necessary information from the existing image and autonomously configuring the next imaging parameters.
2Adaptability or versatility
If the user manually sets parameters for color Doppler images, then the examination can be performed with flexibility, but the ease of operation decreases due to additional manual input requirements
Solution Approach 1:
The system performs preliminary detection of organ type and pre-configuration of parameters based on the B-mode image, so that when the user initiates color Doppler imaging, the parameters are already set and ready. This maintains adaptability while significantly improving ease of operation.
Solution Approach 2:
The system automatically determines organ type and configures color Doppler parameters without user input, making the operation simpler while preserving the ability to adapt to different organ types through automated detection and parameter selection.
3Productivity
If the system automatically determines organ type from B-mode image, then the workload is reduced, but the complexity of the system increases
Solution Approach 1:
The system replaces manual mechanical operation (user visually identifying organ and manually setting parameters) with automated computational processes. The processor automatically detects organ type from B-mode image data and calculates appropriate color Doppler parameters, improving productivity while the complexity is managed through software-based automation rather than hardware complexity.
Solution Approach 2:
The system performs self-service by automatically analyzing the B-mode image to determine organ type and configure parameters, eliminating the need for user manual input. This automation improves examination efficiency while the system manages its own complexity through integrated processing.
Data Source
AI summary
An ultrasonic diagnostic device including one or more processors for controlling operation of the ultrasonic diagnostic device for acquiring a second ultrasonic image of the same examination site as a first ultrasonic image based on an annotation added to the first ultrasonic image.