Color Flow Gain Adjustment for Ultrasound Imaging
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Solution Overview
Problem
Conventional ultrasonic imaging systems require manual and time-consuming adjustments of color gain to optimize flow signal sensitivity while minimizing noise, often resulting in low-speed flow sensitivity deficiencies.
Innovation Solution
A color flow gain adjustment method and device that automatically optimizes CFM gain parameters by calculating an abnormal pixel point ratio in stored ultrasound image data and adjusting the gain based on a comparison with preset thresholds, simplifying manual adjustments and improving diagnostic efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual color gain adjustment is used, then flow signal sensitivity can be optimized, but the operation is time-consuming and results in low-speed flow sensitivity deficiencies
Solution Approach 1:
The system automatically adjusts color gain parameters by analyzing ultrasound image data and calculating abnormal pixel point ratios, eliminating the need for manual operator intervention. The device performs self-optimization by comparing abnormal pixel ratios against preset thresholds and automatically determining optimal gain levels, thereby resolving the contradiction between achieving high flow signal sensitivity and minimizing adjustment time
Solution Approach 2:
The system implements a feedback mechanism where color flow images are continuously analyzed, abnormal pixel point ratios are calculated, and adjustment results are evaluated. Based on the comparison between abnormal pixel ratios and preset thresholds, the system provides feedback to automatically adjust gain parameters, creating a closed-loop control system that optimizes flow signal sensitivity without manual intervention
2Measurement precision
If color gain is increased to improve sensitivity, then flow detection capability is enhanced, but noise is also amplified
Solution Approach 1:
The system dynamically changes the color gain parameter based on the calculated abnormal pixel point ratio. By adjusting the gain parameter adaptively rather than using fixed high gain values, the system achieves optimal flow detection sensitivity while preventing excessive noise amplification. The parameter is modified according to actual image conditions, balancing sensitivity enhancement with noise control
Solution Approach 2:
The system applies different gain adjustments to different regions of the ultrasound image based on local abnormal pixel point ratios. By analyzing specific areas and applying targeted gain optimization, the system enhances flow detection sensitivity in regions where it is needed while maintaining noise suppression in other areas, achieving local optimization rather than uniform gain adjustment
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method and device enhance diagnostic efficiency by automatically determining an optimal color gain level that balances sensitivity and noise suppression, addressing the limitations of conventional systems in low-speed flow sensitivity.
Implementation Method 1
A transducer transmits a series of ultrasonic signals to a human body, and the ultrasonic signals are received by the transducer after being scattered by human tissues and blood flows
Implementation Method 2
The transducer converts the received ultrasonic signals into electric signals and acquires in-phase (I) and quadrature (Q) baseband signals
Implementation Method 3
Wall filtering may be performed on the quadrature baseband signals to filter out tissue and wall echo signals of very low frequencies so as to acquire Doppler signals including only flow movement information
Data Source
AI summary
A color flow gain adjustment method and device, and a color ultrasound imaging system using the device are disclosed.