NDLI: Wavelet-based blind deconvolution of near-field ultrasound scans

Content Provider	IET Digital Library
Author	Taylor, Jason R. B. Chan, Jose J. Mijares Thomas, Gabriel
Abstract	A wavelet-based technique for blind deconvolution and denoising of ultrasound scans is introduced. The target application is near-field ultrasound imaging for non-destructive testing. Existing blind deconvolution techniques for ultrasound such as cepstrum-based methods and the work of Adam and Michailovich – based on discrete wavelet transform (DWT) shrinkage of the log-spectrum – estimate the pulse by exploiting the pulse log-spectrum smoothness relative to the material reflectivity function. In the proposed technique, the log-spectrum is localised with respect to time as the continuous wavelet transform (CWT) log-scalogram to deal with the non-stationarity of the near-field ultrasound signals in both the pulse estimation and deconvolution. The pulse is estimated in the wavelet domain via DWT shrinkage of the log-scalogram and is deconvolved by wavelet-domain Wiener filtering. Extensions of the proposed technique include: using separate CWT domains for estimation and deconvolution, as inspired by the WienerChop denoising method; and training the algorithm parameters on a subset of scans.
Starting Page	672
Ending Page	679
Page Count	8
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 8, Aug (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0791
Journal	IET Image Processing
Publisher Date	2015-08-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biomedical Ultrasonics Cepstrum-based Method Computer Vision And Image Processing Technique Continuous Wavelet Transform Log-scalogram CWT Log-scalogram Deconvolution Discrete Wavelet Transform Discrete Wavelet Transform Shrinkage DWT Shrinkage Filtering Method in Signal Processing Function Theory And Analysis Integral Transforms Material Reflectivity Function Medical Image Processing Near-field Ultrasound Scans Nondestructive Testing Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Pulse Estimation Pulse Log-spectrum Smoothness Sonic And Ultrasonic Radiation Wavelet-based Blind Deconvolution Technique Wavelet-domain Wiener Filtering Wiener Filter WienerChop Denoising Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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