Literature DB >> 2266848

Computer modeling of surface coil sensitivity.

T J Lawry1, M W Weiner, G B Matson.   

Abstract

A simple model is presented for the calculation of relative signal-to-noise (S/N) ratios of coils of different sizes and configurations when applied to in vivo MRS. Axial symmetry is assumed, which enables rather simple expressions to be used for the calculation of coil loading by the tissue. The model is calibrated to experiments through measurement of the loaded and unloaded coil Q's. Applications of the model demonstrate that for small, superficial regions of interest (ROI), small surface coils can provide a S/N much improved over that of a larger coil. However, for very deep ROIs, larger coils or coils producing uniform B1 provide improved S/N.

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Year:  1990        PMID: 2266848     DOI: 10.1002/mrm.1910160210

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  4 in total

1.  Pseudo-random center placement O-space imaging for improved incoherence compressed sensing parallel MRI.

Authors:  Leo K Tam; Gigi Galiana; Jason P Stockmann; Hemant Tagare; Dana C Peters; R Todd Constable
Journal:  Magn Reson Med       Date:  2014-07-17       Impact factor: 4.668

2.  Null space imaging: nonlinear magnetic encoding fields designed complementary to receiver coil sensitivities for improved acceleration in parallel imaging.

Authors:  Leo K Tam; Jason P Stockmann; Gigi Galiana; R Todd Constable
Journal:  Magn Reson Med       Date:  2011-12-21       Impact factor: 4.668

3.  A 64-channel 3T array coil for accelerated brain MRI.

Authors:  Boris Keil; James N Blau; Stephan Biber; Philipp Hoecht; Veneta Tountcheva; Kawin Setsompop; Christina Triantafyllou; Lawrence L Wald
Journal:  Magn Reson Med       Date:  2012-07-31       Impact factor: 4.668

4.  Quantitative in vivo magnetic resonance spectroscopy using synthetic signal injection.

Authors:  Kenneth I Marro; Donghoon Lee; Eric G Shankland; C Mark Mathis; Cecil E Hayes; Seth D Friedman; Martin J Kushmerick
Journal:  PLoS One       Date:  2010-12-28       Impact factor: 3.240

  4 in total

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