Towards real-time magnetomotive ultrasound imaging
(2017) 2017 IEEE International Ultrasonics Symposium, IUS 2017- Abstract
Magnetomotive ultrasound (MMUS) imaging indirectly enables visualization of magnetic nanoparticles (MNPs) with ultrasound. An external time varying magnetic field displaces MNPs and thus their closest surrounding, the induced displacement is tracked in the US data and color-coded on B-mode images. However, images are currently processed offline, which is time consuming and precludes clinical use of MMUS. In this work, the previously proposed MMUS algorithm (DOI: TUFFC.2013.2591) is automated and implemented online on the ULA-OP scanner.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/55d2dff7-fbed-4524-90b9-f033a11c2c7c
- author
- Evertsson, Maria
LU
; Ramalli, Alessandro
; Pavan, Theo Z.
; Cabrelli, Luciana C.
; Andersson, Roger
LU
; Cinthio, Magnus
LU
; Tortoli, Piero and Jansson, Tomas LU
- organization
- publishing date
- 2017-10-31
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2017 IEEE International Ultrasonics Symposium, IUS 2017
- article number
- 8092229
- publisher
- IEEE Computer Society
- conference name
- 2017 IEEE International Ultrasonics Symposium, IUS 2017
- conference location
- Washington, United States
- conference dates
- 2017-09-06 - 2017-09-09
- external identifiers
-
- scopus:85039456445
- ISBN
- 9781538633830
- DOI
- 10.1109/ULTSYM.2017.8092229
- language
- English
- LU publication?
- yes
- id
- 55d2dff7-fbed-4524-90b9-f033a11c2c7c
- date added to LUP
- 2018-01-08 12:03:31
- date last changed
- 2024-10-28 19:09:41
@inproceedings{55d2dff7-fbed-4524-90b9-f033a11c2c7c, abstract = {{<p>Magnetomotive ultrasound (MMUS) imaging indirectly enables visualization of magnetic nanoparticles (MNPs) with ultrasound. An external time varying magnetic field displaces MNPs and thus their closest surrounding, the induced displacement is tracked in the US data and color-coded on B-mode images. However, images are currently processed offline, which is time consuming and precludes clinical use of MMUS. In this work, the previously proposed MMUS algorithm (DOI: TUFFC.2013.2591) is automated and implemented online on the ULA-OP scanner.</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}}, language = {{eng}}, month = {{10}}, publisher = {{IEEE Computer Society}}, title = {{Towards real-time magnetomotive ultrasound imaging}}, url = {{http://dx.doi.org/10.1109/ULTSYM.2017.8092229}}, doi = {{10.1109/ULTSYM.2017.8092229}}, year = {{2017}}, }