Literature DB >> 29806865

Encoding and readout strategies in magnetic resonance elastography.

Christian Guenthner1, Sebastian Kozerke1.   

Abstract

Magnetic resonance elastography (MRE) has evolved significantly since its inception. Advances in motion-encoding gradient design and readout strategies have led to improved encoding and signal-to-noise ratio (SNR) efficiencies, which in turn allow for higher spatial resolution, increased coverage, and/or shorter scan times. The purpose of this review is to summarize MRE wave-encoding and readout approaches in a unified mathematical framework to allow for a comparative assessment of encoding and SNR efficiency of the various methods available. Besides standard full- and fractional-wave-encoding approaches, advanced techniques including flow compensation, sample interval modulation and multi-shot encoding are considered. Signal readout using fast k-space trajectories, reduced field of view, multi-slice, and undersampling techniques are summarized and put into perspective. The review is concluded with a foray into displacement and diffusion encoding as alternative and/or complementary techniques.
Copyright © 2018 John Wiley & Sons, Ltd.

Keywords:  elasticity imaging; fast imaging; magnetic resonance elastography (MRE); motion encoding; phase-to-noise ratio; pulse-sequence design; reduced data acquisition; signal-to-noise ratio

Mesh:

Year:  2018        PMID: 29806865     DOI: 10.1002/nbm.3919

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  4 in total

1.  MR elastography of liver at 3 Tesla: comparison of gradient-recalled echo (GRE) and spin-echo (SE) echo-planar imaging (EPI) sequences and agreement across stiffness measurements.

Authors:  Chenyang Zhan; Stephan Kannengiesser; Hersh Chandarana; Matthias Fenchel; Justin Ream; Krishna Prasad Shanbhogue
Journal:  Abdom Radiol (NY)       Date:  2019-05

2.  Fast acquisition of propagating waves in humans with low-field MRI: Toward accessible MR elastography.

Authors:  Maksym Yushchenko; Mathieu Sarracanie; Najat Salameh
Journal:  Sci Adv       Date:  2022-09-09       Impact factor: 14.957

3.  Magnetic Resonance Elastography reveals effects of anti-angiogenic glioblastoma treatment on tumor stiffness and captures progression in an orthotopic mouse model.

Authors:  Katharina Schregel; Michal O Nowicki; Miklos Palotai; Navid Nazari; Rachel Zane; Ralph Sinkus; Sean E Lawler; Samuel Patz
Journal:  Cancer Imaging       Date:  2020-05-12       Impact factor: 3.909

4.  Unipolar MR elastography: Theory, numerical analysis and implementation.

Authors:  Christian Guenthner; Sweta Sethi; Marian Troelstra; Robbert J H van Gorkum; Mareike Gastl; Ralph Sinkus; Sebastian Kozerke
Journal:  NMR Biomed       Date:  2019-10-30       Impact factor: 4.044

  4 in total

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