Color Doppler Parameter Auto-Setting for Real-Time Vascular Imaging
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Solution Overview
Problem
Existing ultrasound systems require manual and time-consuming operations for setting parameters in color Doppler imaging modes, particularly for positioning the Color Doppler ROI, Doppler Sample Gate, and selecting the Color Doppler-Beamline Steering angle, which are not fully automatic and do not adapt to changes in the scanned target.
Innovation Solution
A method and system for real-time automatic setting of parameters using morphological features of color Doppler flow signals to determine the position of the ROI and Sample Gate, and calculate the steering and correction angles, utilizing directional filters and a quality factor to ensure accurate and fast adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual operations are used for setting Color Doppler parameters, then positioning accuracy can be achieved, but examination time increases and productivity decreases
Solution Approach 1:
The system performs self-positioning of the Color Doppler ROI and Sample Gate by automatically analyzing vessel morphology and flow characteristics. The processor independently determines optimal parameters without requiring manual intervention, thereby maintaining positioning accuracy while significantly reducing examination time.
Solution Approach 2:
The system pre-processes B-mode image data to extract vessel centerline information and flow characteristics before Color Doppler acquisition. By preparing vessel segmentation and morphological features in advance, the system enables rapid automatic parameter setting during the actual examination, improving both speed and consistency.
2Productivity
If automatic techniques are used for parameter setting, then examination time is reduced, but the system does not fully adapt to changes in the scanned target in real time
Solution Approach 1:
The system continuously monitors Color Doppler flow signals and vessel morphology during the examination. When changes in the scanned target are detected (such as probe movement or anatomical variations), the processor automatically recalculates optimal parameters by re-analyzing the updated flow data and vessel centerline information, ensuring real-time adaptation while maintaining examination efficiency.
3Adaptability or versatility
If complex automatic algorithms are implemented, then real-time adaptation is improved, but device complexity increases
Solution Approach 1:
The automatic parameter setting system is divided into independent functional modules: vessel segmentation module, flow characteristic analysis module, parameter calculation module, and real-time adaptation module. Each module processes specific aspects of the data independently, which simplifies the overall system architecture while maintaining comprehensive adaptability through coordinated operation of these modular components.
Data Source
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AI summary
To fasten the examination time in an Ultrasound system in a vascular Exam routine, it is desirable to: automatically position in the best way Color Doppler ROI and/or Sample Gate; select the best Color Doppler/Beamline Steering angle; and set the Doppler Correction angle. An algorithm is able to process in real time the Doppler Signal to identify the Doppler Area where the most significant flow is present then it analyzes the 'Shape' of such Color Doppler Area identifying the Position and direction of the "main" Flow. The vascular Examination routine can be made easier and faster.