PMID- 35623302
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220613
IS  - 1874-9968 (Electronic)
IS  - 0041-624X (Linking)
VI  - 124
DP  - 2022 Aug
TI  - Ultrasonic array imaging of highly attenuative materials with spatio-temporal 
      singular value decomposition.
PG  - 106764
LID - S0041-624X(22)00074-9 [pii]
LID - 10.1016/j.ultras.2022.106764 [doi]
AB  - With the increasing use of high density polyethylene (HDPE) pipes in nuclear 
      industry which puts safety at the forefront, ultrasonic array imaging methods 
      play a vital role in the structural integrity of HDPE pipe materials. However, 
      the viscoelastic attenuation of HDPE pipe materials significantly decreases the 
      level of signals, leading to a low signal-to-noise ratio caused by electronic 
      noise. In this work, a domain-adapted spatio-temporal singular value 
      decomposition (STSVD) processing algorithm combined with the total focusing 
      method is proposed to improve the ultrasonic array image quality. First, the 
      real-valued radio frequency (RF) data or A-scan signals are demodulated into the 
      complex analytic signals containing in-phase and quadrature (I/Q) components. 
      Then, the STSVD processing algorithm is used to filter the I/Q data, and the 
      filtered I/Q data is converted into RF signals. Finally, the total focusing 
      method is applied to the processed RF signals to produce the image of the region 
      under detection as a stage of post-processing. Experiments are carried out with 
      an ultrasonic linear phased array in contact with the HDPE pipe materials 
      containing multiple side-drilled holes and through-wall notches. Results show 
      that the proposed method can produce images with high quality to provide good 
      inspection and characterization of defects in highly attenuative materials, 
      especially the deeper defects.
CI  - Copyright (c) 2022 Elsevier B.V. All rights reserved.
FAU - Rao, Jing
AU  - Rao J
AD  - School of Engineering and Information Technology, University of New South Wales, 
      Canberra, ACT 2600, Australia. Electronic address: jing.rao@adfa.edu.au.
FAU - Qiu, Hangyu
AU  - Qiu H
AD  - School of Engineering and Information Technology, University of New South Wales, 
      Canberra, ACT 2600, Australia.
FAU - Teng, Guoyang
AU  - Teng G
AD  - Zhejiang Academy of Special Equipment Science, Hangzhou, China.
FAU - Al Mukaddim, Rashid
AU  - Al Mukaddim R
AD  - Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, 
      United States.
FAU - Xue, Jianfeng
AU  - Xue J
AD  - School of Engineering and Information Technology, University of New South Wales, 
      Canberra, ACT 2600, Australia.
FAU - He, Jiaze
AU  - He J
AD  - Department of Aerospace Engineering and Mechanics, University of Alabama, 
      Tuscaloosa, AL 35487, United States.
LA  - eng
PT  - Journal Article
DEP - 20220523
PL  - Netherlands
TA  - Ultrasonics
JT  - Ultrasonics
JID - 0050452
SB  - IM
OTO - NOTNLM
OT  - Defect detection
OT  - Highly attenuating materials
OT  - I/Q demodulation
OT  - Spatio-temporal singular value decomposition
OT  - Ultrasonic array imaging
EDAT- 2022/05/28 06:00
MHDA- 2022/05/28 06:01
CRDT- 2022/05/27 18:27
PHST- 2022/02/26 00:00 [received]
PHST- 2022/04/22 00:00 [revised]
PHST- 2022/05/13 00:00 [accepted]
PHST- 2022/05/28 06:00 [pubmed]
PHST- 2022/05/28 06:01 [medline]
PHST- 2022/05/27 18:27 [entrez]
AID - S0041-624X(22)00074-9 [pii]
AID - 10.1016/j.ultras.2022.106764 [doi]
PST - ppublish
SO  - Ultrasonics. 2022 Aug;124:106764. doi: 10.1016/j.ultras.2022.106764. Epub 2022 
      May 23.