Literature DB >> 31425798

Parallel magnetic resonance image reconstruction from a single-element parametric amplifier.

Roshan Timilsina1, Chunqi Qian2.   

Abstract

In magnetic resonance imaging (MRI), acquisition speed is always an important issue. In this paper, we propose a promising technique to achieve parallel MRI (pMRI) on a single-channel spectrometer, using a novel Wireless Amplified Nuclear MR Detector (WAND) for spatial encoding in image reconstruction. For this, a planar structure double frequency WAND is designed and fabricated, where two of its frequencies - 'signal', ω1 and 'idler', ω2 are effectively utilized as two separate "channels" for accelerated acquisition. We provided a thorough background needed for the method and subsequently parallel imaging algorithms. Sum-of-Squares (SoS) reconstruction and GeneRalized Autocalibrating Partially Parallel Acquisition (GRAPPA) reconstruction are used to reconstruct as well as to analyze the SNR in the resulting images and validate our hypothesis. Experimental results using phantom datasets demonstrate that the proposed method of parallel imaging yield a better sensitivity for the combined images ('idler' + 'signal') than the sensitivity acquired for each individual image and thus significantly improving the reconstruction quality with optimal signal-to-noise ratio. We also demonstrated the achievable acceleration factor of this approach.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Correlation; GRAPPA; Image reconstruction; Parallel MRI; Parametric amplifier; Signal-to-noise ratio; SoS; WAND

Mesh:

Year:  2019        PMID: 31425798      PMCID: PMC6861694          DOI: 10.1016/j.mri.2019.08.009

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  28 in total

1.  Partially parallel imaging with localized sensitivities (PILS).

Authors:  M A Griswold; P M Jakob; M Nittka; J W Goldfarb; A Haase
Journal:  Magn Reson Med       Date:  2000-10       Impact factor: 4.668

2.  Generalized autocalibrating partially parallel acquisitions (GRAPPA).

Authors:  Mark A Griswold; Peter M Jakob; Robin M Heidemann; Mathias Nittka; Vladimir Jellus; Jianmin Wang; Berthold Kiefer; Axel Haase
Journal:  Magn Reson Med       Date:  2002-06       Impact factor: 4.668

Review 3.  SMASH, SENSE, PILS, GRAPPA: how to choose the optimal method.

Authors:  Martin Blaimer; Felix Breuer; Matthias Mueller; Robin M Heidemann; Mark A Griswold; Peter M Jakob
Journal:  Top Magn Reson Imaging       Date:  2004-08

4.  Sensitivity enhancement of remotely coupled NMR detectors using wirelessly powered parametric amplification.

Authors:  Chunqi Qian; Joseph Murphy-Boesch; Stephen Dodd; Alan Koretsky
Journal:  Magn Reson Med       Date:  2012-01-13       Impact factor: 4.668

5.  Measurement of signal-to-noise ratios in MR images: influence of multichannel coils, parallel imaging, and reconstruction filters.

Authors:  Olaf Dietrich; José G Raya; Scott B Reeder; Maximilian F Reiser; Stefan O Schoenberg
Journal:  J Magn Reson Imaging       Date:  2007-08       Impact factor: 4.813

6.  Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays.

Authors:  D K Sodickson; W J Manning
Journal:  Magn Reson Med       Date:  1997-10       Impact factor: 4.668

7.  Live nephron imaging by MRI.

Authors:  Chunqi Qian; Xin Yu; Nikorn Pothayee; Stephen Dodd; Nadia Bouraoud; Robert Star; Kevin Bennett; Alan Koretsky
Journal:  Am J Physiol Renal Physiol       Date:  2014-09-03

Review 8.  Parallel MR imaging.

Authors:  Anagha Deshmane; Vikas Gulani; Mark A Griswold; Nicole Seiberlich
Journal:  J Magn Reson Imaging       Date:  2012-07       Impact factor: 4.813

Review 9.  Engineering novel detectors and sensors for MRI.

Authors:  Chunqi Qian; Gary Zabow; Alan Koretsky
Journal:  J Magn Reson       Date:  2012-11-29       Impact factor: 2.229

Review 10.  Image reconstruction: an overview for clinicians.

Authors:  Michael S Hansen; Peter Kellman
Journal:  J Magn Reson Imaging       Date:  2014-06-25       Impact factor: 4.813

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