Literature DB >> 6727793

A signal-to-noise calibration procedure for NMR imaging systems.

W A Edelstein, P A Bottomley, L M Pfeifer.   

Abstract

A nuclear magnetic resonance (NMR) imaging system signal-to-noise calibration technique based on an NMR projection of distilled water in a cylindrical bottle is proposed. This measurement can characterize any arrangement of rf coils in any magnetic field as signal to noise per ml times root Hz. Inductive losses in a typical patient must be included in the calibration, and such losses can be simulated in a particular system by an externally attached resistor(s) appropriate to that system. Alternatively, an rf inductive damping phantom consisting of a conducting loop of wire containing an appropriate resistor is suggested that can be inserted into any NMR imaging coil to simulate subject Q damping. The same resistor can be used, independent of the details of the coil construction. Furthermore, if the loop inductance is tuned out at each frequency with a series capacitor, then the same loop resistance will serve for all frequencies as a good approximation to human subject damping. This "projection method" signal-to-noise ratio is related to the conventional signal-to-noise ratio measured from a Lorentzian-shaped spectral line as psi P = psi L [2/T2]1/2, where psi stands for signal-to-noise ratio, subscripts P and L stand, respectively, for the projection and "Lorentzian" methods, and T2 is the transverse relaxation time of the spectral line used in the Lorentzian method.

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Year:  1984        PMID: 6727793     DOI: 10.1118/1.595484

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  37 in total

1.  Elucidation of accuracy in calibration of MR signal intensity based on transmission amplitude method.

Authors:  T Yamamoto; T Nambu; H Date; K Miyasaka
Journal:  MAGMA       Date:  2000-12       Impact factor: 2.310

2.  Versatile coil design and positioning of transverse-field RF surface coils for clinical 1.5-T MRI applications.

Authors:  M Alfonsetti; V Clementi; S Iotti; G Placidi; R Lodi; B Barbiroli; A Sotgiu; M Alecci
Journal:  MAGMA       Date:  2004-12-30       Impact factor: 2.310

3.  Optimized quadrature surface coil designs.

Authors:  Ananda Kumar; Paul A Bottomley
Journal:  MAGMA       Date:  2007-12-04       Impact factor: 2.310

4.  A prototype RF dosimeter for independent measurement of the average specific absorption rate (SAR) during MRI.

Authors:  John P Stralka; Paul A Bottomley
Journal:  J Magn Reson Imaging       Date:  2007-11       Impact factor: 4.813

5.  COmplex-Model-Based Estimation of thermal noise for fMRI data in the presence of artifacts.

Authors:  Yin Xu; Gaohong Wu; Daniel B Rowe; Yuan Ma; Rongyan Zhang; Guofan Xu; Shi-Jiang Li
Journal:  Magn Reson Imaging       Date:  2007-02-21       Impact factor: 2.546

6.  Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T.

Authors:  Jonathan A D Farrell; Bennett A Landman; Craig K Jones; Seth A Smith; Jerry L Prince; Peter C M van Zijl; Susumu Mori
Journal:  J Magn Reson Imaging       Date:  2007-09       Impact factor: 4.813

7.  Assessing and minimizing the effects of noise and motion in clinical DTI at 3 T.

Authors:  Rob H N Tijssen; Jacobus F A Jansen; Walter H Backes
Journal:  Hum Brain Mapp       Date:  2009-08       Impact factor: 5.038

8.  A framework for accurate determination of the T₂ distribution from multiple echo magnitude MRI images.

Authors:  Ruiliang Bai; Cheng Guan Koay; Elizabeth Hutchinson; Peter J Basser
Journal:  J Magn Reson       Date:  2014-05-04       Impact factor: 2.229

9.  An RF dosimeter for independent SAR measurement in MRI scanners.

Authors:  Di Qian; Abdel-Monem M El-Sharkawy; Paul A Bottomley; William A Edelstein
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

10.  Disability in optic neuritis correlates with diffusion tensor-derived directional diffusivities.

Authors:  R T Naismith; J Xu; N T Tutlam; A Snyder; T Benzinger; J Shimony; J Shepherd; K Trinkaus; A H Cross; S-K Song
Journal:  Neurology       Date:  2008-12-10       Impact factor: 9.910

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