Literature DB >> 12036339

Non-CPMG Fast Spin Echo with full signal.

Patrick Le Roux1.   

Abstract

The standard Fast Spin Echo sequence used in MR imaging relies on the CPMG condition. A consequence of this condition is that only one component of the transverse magnetization can be measured. To counter this, some phase modulation schemes (XY, MLEV.) for the pulse train have been proposed, but they are useful only over a very restricted range, close to pi, of the refocusing pulse rotation angle. Some other solutions not relying on phase modulation have also been suggested, but they destroy one half the available signal. Revisiting the phase modulation approach, J. Murdoch ("Second SMR Scientific Meeting," p. 1145, 1994) suggested that a quadratic phase modulation could generate a train of classical echoes. We show here that indeed a quadratic phase modulation has a very suitable property: after an adequate change of frame, the dynamic of the system composed of all the protons situated in one pixel can be seen as stationary. If the parameter of the quadratic phase modulation is well chosen, it is then possible to put the dynamic system in a combination of two suitable states and obtain a signal identical to the signal of a classical spin echo, at least for nutation of the refocusing pulse higher than, approximately, two radians. (c) 2002 Elsevier Science (USA).

Entities:  

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Year:  2002        PMID: 12036339     DOI: 10.1006/jmre.2002.2523

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  18 in total

1.  Diffusion-weighted imaging of the spine with a non-carr-purcell-meiboom-gill single-shot fast spin-echo sequence: initial experience.

Authors:  A Y Oner; T Tali; F Celikyay; A Celik; P Le Roux
Journal:  AJNR Am J Neuroradiol       Date:  2007-03       Impact factor: 3.825

2.  Slice profile effects on nCPMG SS-FSE.

Authors:  Eric K Gibbons; Patrick Le Roux; John M Pauly; Adam B Kerr
Journal:  Magn Reson Med       Date:  2017-03-31       Impact factor: 4.668

3.  Analysis of phase error effects in multishot diffusion-prepared turbo spin echo imaging.

Authors:  Anh T Van; Barbara Cervantes; Hendrik Kooijman; Dimitrios C Karampinos
Journal:  Quant Imaging Med Surg       Date:  2017-04

4.  Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging.

Authors:  Eric K Gibbons; Patrick Le Roux; Shreyas S Vasanawala; John M Pauly; Adam B Kerr
Journal:  IEEE Trans Med Imaging       Date:  2017-08-17       Impact factor: 10.048

5.  Body Diffusion Weighted Imaging Using Non-CPMG Fast Spin Echo.

Authors:  Eric K Gibbons; Patrick Le Roux; Shreyas S Vasanawala; John M Pauly; Adam B Kerr
Journal:  IEEE Trans Med Imaging       Date:  2016-10-27       Impact factor: 10.048

Review 6.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

7.  Diffusion-weighted radial fast spin-echo for high-resolution diffusion tensor imaging at 3T.

Authors:  Joelle E Sarlls; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

8.  High efficiency, low distortion 3D diffusion tensor imaging with variable density spiral fast spin echoes (3D DW VDS RARE).

Authors:  Lawrence R Frank; Youngkyoo Jung; Souheil Inati; J Michael Tyszka; Eric C Wong
Journal:  Neuroimage       Date:  2009-09-22       Impact factor: 6.556

Review 9.  New methods in diffusion-weighted and diffusion tensor imaging.

Authors:  Roland Bammer; Samantha J Holdsworth; Wouter B Veldhuis; Stefan T Skare
Journal:  Magn Reson Imaging Clin N Am       Date:  2009-05       Impact factor: 2.266

10.  Phase-aligned multiple spin-echo averaging: a simple way to improve signal-to-noise ratio of in vivo mouse spinal cord diffusion tensor image.

Authors:  Tsang-Wei Tu; Matthew D Budde; Mingqiang Xie; Ying-Jr Chen; Qing Wang; James D Quirk; Sheng-Kwei Song
Journal:  Magn Reson Imaging       Date:  2014-08-01       Impact factor: 2.546

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