Ultrasound System Real-Time Server Analysis
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Solution Overview
Problem
Current ultrasound diagnostic systems face limitations in processing capabilities, making it difficult to implement advanced functions like real-time machine learning-based CAD systems, and existing solutions do not enable real-time assistance during ultrasound examinations.
Innovation Solution
An ultrasound diagnostic system comprising an ultrasound diagnostic apparatus and a diagnosis assisting server connected via a network, where the apparatus transfers frame data in real-time to the server for analysis, and the server generates diagnosis assisting data that is synchronized and displayed back to the apparatus for real-time video imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If image analysis is performed on the ultrasound diagnostic apparatus itself, then analysis speed can be improved, but the processing capability and complexity of the apparatus increases
Solution Approach 1:
The system divides the ultrasound diagnostic system into two segments: the ultrasound diagnostic apparatus that performs data acquisition and initial processing, and the external information processing apparatus that performs complex image analysis. This segmentation allows each component to specialize in specific tasks, improving overall analysis speed without overloading the ultrasound apparatus with excessive processing capabilities.
Solution Approach 2:
The system introduces an intermediary communication interface between the ultrasound diagnostic apparatus and the external information processing apparatus. This intermediary layer enables efficient data transfer and coordination, allowing complex analysis to be performed externally while maintaining real-time assistance capabilities during ultrasound examinations.
2Measurement precision
If a machine learning-type CAD function is equipped on the ultrasound diagnostic apparatus, then diagnostic accuracy can be improved, but the processing capability requirements increase
Solution Approach 1:
The system extracts the machine learning-type CAD function from the ultrasound diagnostic apparatus and relocates it to an external information processing apparatus. This extraction allows the ultrasound apparatus to maintain its core diagnostic functions while leveraging external computational power for advanced image analysis and diagnostic support, thereby improving diagnostic accuracy without increasing the apparatus's processing capability requirements.
3Measurement precision
If still images are transferred to an external server for processing, then analysis capability can be improved, but real-time assistance during examination cannot be provided
Solution Approach 1:
The system establishes continuous data transfer between the ultrasound diagnostic apparatus and the external information processing apparatus during the examination process. Instead of transferring still images after examination, the system continuously transmits ultrasound data in real-time, enabling the external server to provide ongoing analysis and assistance throughout the examination, thus eliminating time delays while maintaining improved analysis capability.
Solution Approach 2:
The external information processing apparatus performs preliminary analysis on incoming ultrasound data in real-time, preparing diagnostic support information before it is needed by the examiner. This preliminary action ensures that analysis results are ready immediately when required during the examination, providing real-time assistance without compromising analysis quality.
Data Source
AI summary
A display frame data array is transferred from an ultrasound diagnostic apparatus to a diagnosis assisting server. The display frame data array is analyzed in the diagnosis assisting server, and a diagnosis assisting data array is generated. The diagnosis assisting data array is transferred from the diagnosis assisting server to the ultrasound diagnostic apparatus. A display processing unit combines the display frame data array and the diagnosis assisting data array while synchronizing the data arrays.