Literature DB >> 10661593

Estimating achievable signal-to-noise ratios of MRI transmit-receive coils from radiofrequency power measurements: applications in quality control.

T W Redpath1, C J Wiggins.   

Abstract

The inverse relationship between the radiofrequency (RF) power needed to transmit a 90 degree RF pulse, and the signal-to-noise ratio (SNR) available from a transmit-receive RF coil is well known. The theory is restated and a formula given for the signal-to-noise ratio from water, achievable from a single-shot MRI experiment, in terms of the net forward RF power needed for a rectangular 90 degree RF pulse of known shape and duration. The result is normalized to a signal bandwidth of 1 Hz and a sample mass of 1 g. The RF power information needed is available on most commercial scanners, as it is used to calculate specific absorption rates for RF tissue heating. The achievable SNR figure will normally be larger that that actually observed, mainly because of receiver noise, but also because of inaccuracies in setting RF pulse angles, and relaxation effects. Phantom experiments were performed on the transmit-receive RF head coil of a commercial MRI system at 0.95 T using a projection method. The measured SNR agreed with that expected from the formula for achievable SNR once a correction was made for the noise figure of the receiving chain. Comparisons of measured SNR figures with those calculated from RF power measurements are expected to be of value in acceptance testing and quality control.

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Year:  2000        PMID: 10661593     DOI: 10.1088/0031-9155/45/1/315

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  5 in total

1.  Quality assurance of clinical MRI scanners using ACR MRI phantom: preliminary results.

Authors:  Chien-Chuan Chen; Yung-Liang Wan; Yau-Yau Wai; Ho-Ling Liu
Journal:  J Digit Imaging       Date:  2004-12       Impact factor: 4.056

2.  On consideration of radiated power in RF field simulations for MRI.

Authors:  Wanzhan Liu; Chien-ping Kao; Christopher M Collins; Michael B Smith; Qing X Yang
Journal:  Magn Reson Med       Date:  2012-04-03       Impact factor: 4.668

3.  Field dependence study of in vivo brain (31) P MRS up to 16.4 T.

Authors:  Ming Lu; Wei Chen; Xiao-Hong Zhu
Journal:  NMR Biomed       Date:  2014-07-28       Impact factor: 4.044

4.  Human cardiac 31P magnetic resonance spectroscopy at 7 Tesla.

Authors:  Christopher T Rodgers; William T Clarke; Carl Snyder; J Thomas Vaughan; Stefan Neubauer; Matthew D Robson
Journal:  Magn Reson Med       Date:  2013-09-04       Impact factor: 4.668

Review 5.  RF coils: A practical guide for nonphysicists.

Authors:  Bernhard Gruber; Martijn Froeling; Tim Leiner; Dennis W J Klomp
Journal:  J Magn Reson Imaging       Date:  2018-06-13       Impact factor: 4.813

  5 in total

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