Nonlinear Ultrasound Imaging via Frequency Compounding
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Solution Overview
Problem
Ultrasound imaging is hindered by significant speckle noise, which degrades the useful resolution of images due to coherent back-scattering in tissues, and existing methods for speckle reduction either sacrifice spatial resolution or fail to recover hidden information effectively.
Innovation Solution
The method employs nonlinear ultrasound imaging by transmitting two ultrasound signals at different frequencies that intersect in space and time, generating a difference-frequency signal at a voxel, which is then processed to reduce speckle while maintaining spatial resolution through frequency and spatial compounding techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ultrasound imaging methods are used, then real-time imaging with low cost is achieved, but speckle noise significantly degrades image resolution
Solution Approach 1:
The imaging process is segmented into multiple frequency components. Two ultrasound signals at different frequencies (first frequency and second frequency) are transmitted separately, and their individual echoes are processed independently before being combined. This segmentation in the frequency domain allows speckle reduction through frequency compounding while maintaining spatial resolution.
Solution Approach 2:
The patent changes the frequency parameter by transmitting ultrasound signals at two different frequencies and processing them separately. By varying the frequency parameter and combining the results through frequency compounding, the method reduces speckle noise while preserving spatial resolution, resolving the contradiction between image quality and noise reduction.
2Object-affected harmful factors
If existing speckle reduction methods are applied, then background noise is reduced, but spatial resolution is sacrificed
Solution Approach 1:
The patent introduces a frequency dimension to the ultrasound imaging process. By transmitting and processing signals at multiple frequencies and combining them through frequency compounding, noise reduction is achieved in the frequency domain without compromising spatial resolution in the spatial domain. This dimensional approach allows simultaneous optimization of both parameters.
Solution Approach 2:
The method changes the frequency parameter by using two different ultrasound frequencies and processing their echoes separately. This parameter variation enables speckle reduction through frequency diversity while maintaining the spatial resolution determined by the individual frequency components, thus resolving the contradiction between noise reduction and resolution preservation.
3Measurement precision
If multiple ultrasound signals at different frequencies are transmitted and processed, then speckle noise is reduced while maintaining spatial resolution, but device complexity increases
Solution Approach 1:
The complex signal processing is segmented into distinct frequency-specific processing streams. Each frequency component is processed independently through its own echo reception and processing channel, then combined through frequency compounding. This segmentation simplifies the overall complexity by breaking down the multi-frequency processing into manageable independent streams.
Solution Approach 2:
The ultrasound system is designed with multi-functionality to handle multiple frequencies simultaneously. The same transducer and processing hardware are used for both frequency components, with the system universally processing first and second frequency signals through the same computational framework, thereby managing complexity through unified multi-functional processing rather than separate dedicated systems.
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
This approach significantly reduces speckle noise while preserving spatial resolution, enabling clearer and more detailed ultrasound images with improved contrast, as demonstrated by the ability to identify features like fat layers and bones with enhanced resolution.
Implementation Method 1
transmitting a first ultrasound signal centered at a first frequency and transmitting a second ultrasound signal centered at a second frequency... processing echoes associated with interaction of the first ultrasound signal and the second ultrasound signal in the voxels
Data Source
AI summary
Nonlinear ultrasound imaging systems and methods are disclose. In one aspect, a nonlinear ultrasound imaging system includes a first transducer configured to transmit a first ultrasound signal along a scan line, a second transducer configured to sweep a second ultrasound signal along the scan line such that the first and second ultrasound signals intersect at a plurality of voxels, and a third transducer configured to receive echoes associated with interactions of the first and second ultrasound signals at the plurality of voxels. The nonlinear ultrasound imaging system further includes a processor configured to generate an ultrasound image based on the echoes.