Ultrasound View Recognition and Parameter Optimization
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Solution Overview
Problem
Current ultrasound systems require manual adjustment of imaging parameters for each standard view, which is time-consuming and often not practical, leading to suboptimal image quality due to compromised parameter settings.
Innovation Solution
The implementation of an ultrasound imaging system with a view recognition processor and an optimization state controller that automatically recognizes specific anatomical views and adjusts imaging parameters accordingly, optimizing parameters for each view to improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment of imaging parameters is performed for each standard view, then image quality can be optimized, but time consumption and user workload increase significantly
Solution Approach 1:
The system automatically recognizes the current anatomical view and adjusts imaging parameters without requiring manual user intervention. The processor identifies views such as parasternal long axis, parasternal short axis, and apical views, then autonomously selects optimal parameters for each view type, enabling the system to serve itself rather than relying on user expertise and time investment
Solution Approach 2:
The system implements a feedback loop where the processor continuously monitors acquired images, recognizes the current view type, and adjusts imaging parameters based on the recognition results. This closed-loop control ensures that parameter optimization is dynamically adapted to the current imaging situation without requiring manual input from the user
2Manufacturing precision
If manual adjustment of imaging parameters is performed for each standard view, then image quality can be optimized, but user expertise requirements increase
Solution Approach 1:
The system performs automatic view recognition and parameter optimization, eliminating the need for users to possess specialized knowledge about optimal imaging parameters for different views. The processor independently handles the complex task of parameter selection based on recognized anatomical views, making the system accessible to users regardless of their expertise level
Solution Approach 2:
The view recognition processor acts as an intermediary between the user and the complex parameter adjustment process. Instead of requiring users to directly understand and adjust multiple imaging parameters, the system introduces an automated recognition layer that translates user actions into optimal parameter settings, simplifying the interface and reducing the expertise burden
3Productivity
If presets with compromised parameter settings are used, then workflow efficiency is maintained, but image quality deteriorates due to trade-offs between parameters
Solution Approach 1:
The system transitions from static preset parameters to dynamic parameter adjustment. Instead of using fixed compromised settings, the processor continuously adapts imaging parameters based on real-time view recognition, allowing optimal parameters to be applied for each specific view while maintaining efficient automated workflow without manual intervention
Solution Approach 2:
The system automatically changes imaging parameters based on the recognized view type. Different parameter sets are applied for different anatomical views (e.g., parasternal long axis versus apical views), eliminating the need for single compromised preset settings and enabling view-specific optimization while maintaining workflow efficiency through automation
Data Source
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AI summary
An ultrasound imaging system may include a view recognition processor. The view recognition processor may determine when a specific view has been acquired by the ultrasound imaging system. A signal indicating the specific view has been acquired may be provided to an optimization state controller included in the ultrasound imaging system. Based on the signal, the optimization state controller may determine imaging settings optimized for the specific view. The optimized imaging settings may be provided to other components of the ultrasound imaging system to acquire or process the ultrasound image of the specific view with the optimized imaging settings.