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Towards real-time magnetomotive ultrasound imaging

Evertsson, Maria LU ; Ramalli, Alessandro; Pavan, Theo Z.; Cabrelli, Luciana C.; Andersson, Roger LU ; Cinthio, Magnus LU ; Tortoli, Piero and Jansson, Tomas LU (2017) 2017 IEEE International Ultrasonics Symposium, IUS 2017 In 2017 IEEE International Ultrasonics Symposium, IUS 2017
Abstract

Enabling detection of nanoparticles with ultrasound can open new application avenues for the ultrasound technique. Magnetomotive ultrasound (MMUS) is a technique under development which indirectly visualizes magnetic nanoparticles. In MMUS, an external time-varying magnetic field acts to displace the nanoparticles, and thus their closest surrounding. This induced displacement is subsequently detected and the nanoparticle location may then be revealed. The MMUS technique has shown to be promising in both phantom and animal studies but limited efforts have been made on optimizing the technique for clinical applications in the sense of providing real-time bedside imaging. In this work, the previously proposed MMUS algorithm is automated... (More)

Enabling detection of nanoparticles with ultrasound can open new application avenues for the ultrasound technique. Magnetomotive ultrasound (MMUS) is a technique under development which indirectly visualizes magnetic nanoparticles. In MMUS, an external time-varying magnetic field acts to displace the nanoparticles, and thus their closest surrounding. This induced displacement is subsequently detected and the nanoparticle location may then be revealed. The MMUS technique has shown to be promising in both phantom and animal studies but limited efforts have been made on optimizing the technique for clinical applications in the sense of providing real-time bedside imaging. In this work, the previously proposed MMUS algorithm is automated and implemented online on the ULA-OP scanner. To evaluate the online implementation, a phantom made of styrene-ethylene/butylene-styrene and mineral oil with a 2 % magnetic ferrite particle inclusion was used. MMUS displacement was calculated in the entire image area, 192×230 pixels, and in a sub-region of 130×90 pixels, covering the inclusion. It was found that the automated online implementation computes one full MMUS image in 2.8 seconds and the sub-region in 1.17 seconds, which should be compared to 1-2 minutes in post processing mode. An immediate on-screen change in the magnetomotive displacement could be observed as the applied magnetic field was altered.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Contrast agents, Magnetomotive ultrasound imaging, ULA-OP
in
2017 IEEE International Ultrasonics Symposium, IUS 2017
publisher
IEEE Computer Society
conference name
2017 IEEE International Ultrasonics Symposium, IUS 2017
external identifiers
  • scopus:85039436735
ISBN
9781538633830
DOI
10.1109/ULTSYM.2017.8092548
language
English
LU publication?
yes
id
cea9fd61-b347-481a-b714-9ee63f6d5d03
date added to LUP
2018-01-08 12:44:53
date last changed
2018-01-10 11:19:41
@inproceedings{cea9fd61-b347-481a-b714-9ee63f6d5d03,
  abstract     = {<p>Enabling detection of nanoparticles with ultrasound can open new application avenues for the ultrasound technique. Magnetomotive ultrasound (MMUS) is a technique under development which indirectly visualizes magnetic nanoparticles. In MMUS, an external time-varying magnetic field acts to displace the nanoparticles, and thus their closest surrounding. This induced displacement is subsequently detected and the nanoparticle location may then be revealed. The MMUS technique has shown to be promising in both phantom and animal studies but limited efforts have been made on optimizing the technique for clinical applications in the sense of providing real-time bedside imaging. In this work, the previously proposed MMUS algorithm is automated and implemented online on the ULA-OP scanner. To evaluate the online implementation, a phantom made of styrene-ethylene/butylene-styrene and mineral oil with a 2 % magnetic ferrite particle inclusion was used. MMUS displacement was calculated in the entire image area, 192×230 pixels, and in a sub-region of 130×90 pixels, covering the inclusion. It was found that the automated online implementation computes one full MMUS image in 2.8 seconds and the sub-region in 1.17 seconds, which should be compared to 1-2 minutes in post processing mode. An immediate on-screen change in the magnetomotive displacement could be observed as the applied magnetic field was altered.</p>},
  author       = {Evertsson, Maria and Ramalli, Alessandro and Pavan, Theo Z. and Cabrelli, Luciana C. and Andersson, Roger and Cinthio, Magnus and Tortoli, Piero and Jansson, Tomas},
  booktitle    = {2017 IEEE International Ultrasonics Symposium, IUS 2017},
  isbn         = {9781538633830},
  keyword      = {Contrast agents,Magnetomotive ultrasound imaging,ULA-OP},
  language     = {eng},
  month        = {10},
  publisher    = {IEEE Computer Society},
  title        = {Towards real-time magnetomotive ultrasound imaging},
  url          = {http://dx.doi.org/10.1109/ULTSYM.2017.8092548},
  year         = {2017},
}