eprintid: 10057831
rev_number: 21
eprint_status: archive
userid: 608
dir: disk0/10/05/78/31
datestamp: 2018-10-12 17:39:21
lastmod: 2021-10-05 00:50:11
status_changed: 2018-10-12 17:39:21
type: article
metadata_visibility: show
creators_name: Corbin, N
creators_name: Breton, E
creators_name: de Mathelin, M
creators_name: Vappou, J
title: K-space data processing for magnetic resonance elastography (MRE)
ispublished: pub
divisions: UCL
divisions: B02
divisions: C07
divisions: D07
divisions: F83
keywords: Elasticity imaging techniques, Magnetic resonance imaging, Radiology, Interventional
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: OBJECTIVE:
Magnetic resonance elastography (MRE) requires substantial data processing based on phase image reconstruction, wave enhancement, and inverse problem solving. The objective of this study is to propose a new, fast MRE method based on MR raw data processing, particularly adapted to applications requiring fast MRE measurement or high elastogram update rate.

MATERIALS AND METHODS:
The proposed method allows measuring tissue elasticity directly from raw data without prior phase image reconstruction and without phase unwrapping. Experimental feasibility is assessed both in a gelatin phantom and in the liver of a porcine model in vivo. Elastograms are reconstructed with the raw MRE method and compared to those obtained using conventional MRE. In a third experiment, changes in elasticity are monitored in real-time in a gelatin phantom during its solidification by using both conventional MRE and raw MRE.

RESULTS:
The raw MRE method shows promising results by providing similar elasticity values to the ones obtained with conventional MRE methods while decreasing the number of processing steps and circumventing the delicate step of phase unwrapping. Limitations of the proposed method are the influence of the magnitude on the elastogram and the requirement for a minimum number of phase offsets.

CONCLUSION:
This study demonstrates the feasibility of directly reconstructing elastograms from raw data.
date: 2017-04
date_type: published
official_url: https://doi.org/10.1007/s10334-016-0594-8
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
article_type_text: Article
verified: verified_manual
elements_id: 1565452
doi: 10.1007/s10334-016-0594-8
lyricists_name: Corbin, Nadege
lyricists_id: NCORB42
actors_name: Corbin, Nadege
actors_id: NCORB42
actors_role: owner
full_text_status: public
publication: Magnetic Resonance Materials in Physics, Biology and Medicine
volume: 30
number: 2
pagerange: 203-213
issn: 1352-8661
citation:        Corbin, N;    Breton, E;    de Mathelin, M;    Vappou, J;      (2017)    K-space data processing for magnetic resonance elastography (MRE).                   Magnetic Resonance Materials in Physics, Biology and Medicine , 30  (2)   pp. 203-213.    10.1007/s10334-016-0594-8 <https://doi.org/10.1007/s10334-016-0594-8>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10057831/1/Corbin_2016_MAGMA_accepted.pdf