Literature DB >> 3952314

Pulse sequence extrapolation with MR image synthesis.

S A Bobman, S J Riederer, J N Lee, T Tasciyan, F Farzaneh, H Z Wang.   

Abstract

Previous reports have presented validation studies of magnetic resonance (MR) image synthesis in which multiple spin-echo (MSE) source data were used to generate spin-echo images for various echo times and repetition times (TRs). A new method-"pulse sequence extrapolation" -synthesizes images for pulse sequences different from that of the acquisition. MSE data acquired in a time equivalent to a TR of 2,000 msec can be used to generate inversion-recovery (IR) images for arbitrarily chosen TI inversion times. Other combinations of pulse sequences were also studied, and synthetic images were compared visually and quantitatively to directly acquired images with corresponding parameters. Synthetic IR signals of the brain parenchyma consistently matched directly acquired signals to within 6%, with respect to the full magnetization signal. The noise level of synthetic signals was generally no more than twice that of direct acquisition signals, as predicted. This method can achieve selective fat suppression and enhancement in IR imaging.

Mesh:

Year:  1986        PMID: 3952314     DOI: 10.1148/radiology.159.1.3952314

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  4 in total

1.  Contrast-modified gradient echo imaging using rotary echo preparatory pulses.

Authors:  X P Zhu; P B Chilvers; C E Hutchinson; G A Morris; J M Hawnaur; J E Adams; C J Taylor
Journal:  MAGMA       Date:  1997-09       Impact factor: 2.310

2.  Noise removal from multiple MRI images.

Authors:  S J Garnier; G L Bilbro; W E Snyder; J W Gault
Journal:  J Digit Imaging       Date:  1994-11       Impact factor: 4.056

3.  Synthetic magnetic resonance imaging revisited.

Authors:  Ranjan Maitra; John J Riddles
Journal:  IEEE Trans Med Imaging       Date:  2010-03       Impact factor: 10.048

4.  Synthetic quantitative MRI through relaxometry modelling.

Authors:  Martina F Callaghan; Siawoosh Mohammadi; Nikolaus Weiskopf
Journal:  NMR Biomed       Date:  2016-10-18       Impact factor: 4.044

  4 in total

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