Ultrasound Patch B-Mode Gain Optimization for Hemodynamic Analysis
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Solution Overview
Problem
Wearable ultrasound patches for arterial hemodynamic analysis are sensitive to position and often use non-optimal preset parameter values, leading to poor quality data streams and unreliable assessments due to lack of real-time visualization and manual tuning capabilities.
Innovation Solution
A method to determine a B-mode gain value for ultrasound hemodynamic analysis by adjusting the gain to achieve a target entropy range and maximizing the contrast-to-noise ratio in the region of interest, enabling accurate and stable imaging without manual operator intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If preset parameter values are used for ultrasound patch, then device complexity is reduced, but image quality and measurement precision deteriorate
Solution Approach 1:
The ultrasound patch automatically determines optimal B-mode gain values using entropy-based algorithms and contrast-to-noise ratio optimization, eliminating the need for manual operator intervention. The system self-adjusts parameters to ensure high-quality images for hemodynamic analysis while maintaining ease of use.
Solution Approach 2:
The system dynamically adjusts the B-mode gain parameter based on calculated entropy values and contrast-to-noise ratios. By automatically optimizing this critical parameter, the system achieves high measurement precision without requiring complex manual parameter adjustment by the operator.
2Manufacturing precision
If manual tuning of ultrasound parameters is enabled, then image quality improves, but ease of operation deteriorates
Solution Approach 1:
The ultrasound patch performs automatic parameter optimization using entropy-based algorithms, eliminating the need for manual tuning by operators. The system independently determines optimal B-mode gain values, ensuring high image quality while maintaining simplicity of operation.
Solution Approach 2:
The system uses real-time feedback from entropy calculations and contrast-to-noise ratio measurements to automatically adjust B-mode gain parameters. This closed-loop control ensures optimal image quality without requiring operator intervention or specialized skills.
3Measurement precision
If real-time visualization system is added, then parameter optimization capability improves, but device complexity increases
Solution Approach 1:
The ultrasound patch incorporates automatic entropy-based optimization algorithms that independently determine optimal parameters without requiring external visualization systems. This self-service capability achieves high measurement precision while avoiding the complexity of additional hardware systems.
Solution Approach 2:
The system replaces the need for mechanical/visual manual parameter tuning with automated computational algorithms. Entropy calculations and contrast-to-noise ratio optimization are performed programmatically, eliminating the need for complex visualization systems while achieving superior parameter optimization.
Data Source
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AI summary
:Concepts for the identifcation of a gain parameter value for ultrasound hemodynamic analysis are proposed. Overall, an output B-mode gain value may be determined which can be used to produce a B-mode ultrasound image having an optimized contrast-to-noise ratio in a region of interest of the ultrasound image. The global B-mode gain may be adjusted, resulting in an improvement of the contrast-to-noise ratio in the region of interest. Using the proposed concept(s), an output B-mode gain may be automatically generated which is suitable for hemodynamic analysis of a blood vessel of a subject, without the need for intervention by a skilled operator.