Self-adaption apodization method based on phase coherent information

A phase coherence and phase information technology, applied in the field of signal analysis, can solve the problems of off-axis signal interference, weighted values ​​not associated with received data, complex calculation, etc., so as to reduce low lateral resolution, improve lateral resolution, and calculate process simple effect

Active Publication Date: 2014-02-19
CHISON MEDICAL TECH CO LTD
View PDF12 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an adaptive apodization method based on phase coherence information, which overcomes the problems of interfere

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Self-adaption apodization method based on phase coherent information
  • Self-adaption apodization method based on phase coherent information
  • Self-adaption apodization method based on phase coherent information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] like figure 1 As shown, an adaptive apodization method based on phase coherent information, the specific steps are as follows:

[0032] Step 1: Classical analog-to-digital conversion (A / D) of the signals obtained from each channel.

[0033] Step 2: Perform initial delay and dynamic focus processing on the signal obtained through the processing of Step 1, and obtain the processed signal of each channel I_i, 1≤i≤N, where N is the number of channels; at the same time, delay each channel signal by several clock beats. , and wait for the adaptive apodization coefficient to be obtained.

[0034] Step 3: Hilbert transform is performed on each channel signal I_i, and the corresponding phase information Phase_i of each channel is obtained through the CORDIC algorithm.

[0035] Step 4: Average the channel phase information obtained in Step 3 As the scanning depth increases, the receiving aperture gradually increases, and N gradually increases.

[0036] Step 5: On the basis o...

Embodiment 2

[0043] like figure 2 , 3 , 4: where image 3 for figure 2 The sub-module of , shows the schematic diagram of the multi-frequency sub-band decomposition and the calculation module of the adaptive apodization coefficient; Figure 4 for figure 2 The sub-module of , shows the schematic diagram of the adaptive apodization coefficient calculation module. The specific implementation steps are as follows:

[0044] Step 1: Classical analog-to-digital conversion of the signals obtained from the individual channels.

[0045] Step 2: as figure 2 As shown, perform initial delay and dynamic focus processing on the signal obtained through the processing of step 1, and obtain the processed signal of each channel I_i, where 1≤i≤N, where N is the number of channels; such as image 3 As shown, perform multi-frequency subband decomposition on each channel signal to obtain the subband signal I_i_I_j of each channel signal, 1≤j≤M, where M is the number of signal decomposition frequencies, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a self-adaption apodization method based on phase coherent information. The method includes the steps of conducting Hilbert change on all routes of channel signals to obtain the phase information, obtaining a dynamic weighting value of each channel through a certain self-adaption processing method according to preliminary phase estimation and the deviation of the phase information of each channel, and conducting beam forming at last. To improve the robustness of the self-adaption processing method, a phase variance sensitive threshold and multiple geometrical mapping relation curves between a phase difference and the weighting values are introduced into the calculation process of the dynamic weighting values. According to the self-adaption apodization method, by means of internal phase diversities, received in the beam forming process, of data of the multiple channels, side lobe signals and grating lobe signals are restrained, meanwhile, the width of a main beam is reduced, and transverse resolving ability of images is improved.

Description

technical field [0001] The invention relates to a signal analysis method, in particular to an adaptive apodization method for medical ultrasonic signals based on phase coherence information. Background technique [0002] Ultrasound imaging has the advantages of low cost and high safety factor, and is regarded as an effective diagnostic method in the medical field. Ultrasound imaging usually adopts the beamforming method of transmitting pulse waves to receive echo signals, and then performing the classical analog-to-digital conversion, starting delay, dynamic focusing and other steps of the received echo signals for imaging. [0003] The early traditional beamforming method is to delay and dynamically focus the signals received by each probe array element to compensate for the sound propagation distance difference between the focal point and the array element, and sum up to obtain the signal energy of the focal point. In an ideal focusing environment, the phase of the echo d...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): A61B8/00
Inventor 严凯张勇莫善珏
Owner CHISON MEDICAL TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap