Contrast Enhanced Ultrasound Signal Processing for Slow-Moving Agent Detection
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Solution Overview
Problem
Current Contrast Enhanced Ultrasound (CEUS) methods face challenges in achieving high signal-to-noise ratio and strong tissue contrast, making it difficult to identify CEUS agents with slow moving speeds and resulting in poor imaging quality.
Innovation Solution
A method involving beamforming and Doppler filtering of channel data with different attribute information, followed by classification and synthesis of complex data to enhance CEUS-tissue contrast and improve signal-to-noise ratio, using ultrasound pulse waves with varying attributes to filter out fundamental components and retain harmonic signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CEUS methods are used to inject contrast agents, then blood flow signals are enhanced, but the signal-to-noise ratio remains insufficient and tissue contrast is weak
Solution Approach 1:
The received ultrasound signals are segmented into different pulse wave groups based on their temporal characteristics. By dividing the continuous signal stream into discrete pulse wave groups, the method can apply different processing strategies to enhance CEUS agents while suppressing tissue signals, thereby resolving the contradiction between signal enhancement and noise suppression.
Solution Approach 2:
The method changes the temporal parameters of ultrasound pulse waves by introducing variable intervals between successive pulses. This parameter modification allows the system to distinguish between stationary tissue echoes and moving contrast agents based on their different temporal response patterns, improving both signal-to-noise ratio and tissue contrast simultaneously.
2Measurement precision
If ultrasound pulse waves with fixed attributes are used, then processing is simple, but CEUS agents with slow moving speeds cannot be effectively identified
Solution Approach 1:
The ultrasound pulse wave intervals are made dynamic rather than fixed, varying according to the specific imaging requirements and agent movement characteristics. This dynamic adjustment enables the system to optimize detection sensitivity for slow-moving agents while maintaining manageable processing complexity through systematic interval selection.
Solution Approach 2:
The method maintains continuous ultrasound pulse wave transmission with optimized intervals, ensuring that CEUS agents throughout their circulation pathway are continuously monitored. This continuous action with variable intervals improves detection accuracy for slow-moving agents while the systematic approach keeps processing complexity controlled.
3Reliability
If multiple pulse wave groups with different attributes are synthesized, then CEUS-tissue contrast is enhanced, but processing time increases
Solution Approach 1:
By segmenting the signal processing into distinct pulse wave group handling stages, the method can efficiently manage multiple pulse wave groups with different attributes. Each segment processes specific temporal characteristics, enabling effective contrast enhancement while minimizing overall processing time through organized sequential operations.
4Measurement precision
If fundamental components are filtered out to retain harmonic signals, then imaging quality improves, but agent duration may be reduced
Solution Approach 1:
The method optimizes the filtering parameters to selectively remove fundamental components while preserving harmonic signals that carry CEUS agent information. By carefully tuning the filtering characteristics, the system maintains imaging quality through harmonic signal retention while minimizing impact on agent duration through optimized filter design.
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
Enhances CEUS-tissue contrast and improves imaging quality by effectively identifying CEUS agents with slow moving speeds, while maintaining sufficient agent duration and reducing tissue residue.
Implementation Method 1
performing beamforming on the channel data, and obtaining complex channel data corresponding to the channel data
Implementation Method 2
performing beamforming on the channel data, and obtaining complex channel data corresponding to the channel data
Implementation Method 3
adding the channel data with different attribute information, and obtaining CEUS-complex data
Data Source
AI summary
A CEUS method, an apparatus, a computer device, and a storage medium are provided. The method includes: acquiring channel data, adding the channel data with different attribute information, obtaining CEUS-complex data, performing beamforming on the channel data, obtaining complex channel data corresponding to the channel data, and obtaining a CEUS image according to the CEUS-complex data and the complex channel data.