Literature DB >> 23565039

Calculations of B1 Distribution, Specific Energy Absorption Rate, and Intrinsic Signal-to-Noise Ratio for a Body-Size Birdcage Coil Loaded with Different Human Subjects at 64 and 128 MHz.

W Liu1, C M Collins, M B Smith.   

Abstract

A numerical model of a female body is developed to study the effects of different body types with different coil drive methods on radio-frequency magnetic (B1) field distribution, specific energy absorption rate (SAR), and intrinsic signal-to-noise ratio (ISNR) for a body-size birdcage coil at 64 and 128 MHz. The coil is loaded with either a larger, more muscular male body model (subject 1) or a newly developed female body model (subject 2), and driven with two-port (quadrature), four-port, or many (ideal) sources. Loading the coil with subject 1 results in significantly less homogeneous B1 field, higher SAR, and lower ISNR than those for subject 2 at both frequencies. This dependence of MR performance and safety measures on body type indicates a need for a variety of numerical models representative of a diverse population for future calculations. The different drive methods result in similar B1 field patterns, SAR, and ISNR in all cases.

Entities:  

Year:  2005        PMID: 23565039      PMCID: PMC3615460          DOI: 10.1007/BF03166953

Source DB:  PubMed          Journal:  Appl Magn Reson        ISSN: 0937-9347            Impact factor:   0.831


  20 in total

1.  Radio frequency magnetic field mapping of a 3 Tesla birdcage coil: experimental and theoretical dependence on sample properties.

Authors:  M Alecci; C M Collins; M B Smith; P Jezzard
Journal:  Magn Reson Med       Date:  2001-08       Impact factor: 4.668

2.  Study of contrast and modulation mechanisms in X-ray/photon transverse axial transmission tomography.

Authors:  Z H Cho; C M Tsai; G Wilson
Journal:  Phys Med Biol       Date:  1975-11       Impact factor: 3.609

3.  Specific absorption rates and induced current densities for an anatomy-based model of the human for exposure to time-varying magnetic fields of MRI.

Authors:  O P Gandhi; X B Chen
Journal:  Magn Reson Med       Date:  1999-04       Impact factor: 4.668

4.  Magnetic resonance imaging: calculation of rates of energy absorption by a human-torso model.

Authors:  M Grandolfo; P Vecchia; O P Gandhi
Journal:  Bioelectromagnetics       Date:  1990       Impact factor: 2.010

5.  The evaluation of mass densities of human body in vivo from CT scans.

Authors:  H K Huang; S C Wu
Journal:  Comput Biol Med       Date:  1976-10       Impact factor: 4.589

6.  The intrinsic signal-to-noise ratio in human cardiac imaging at 1.5, 3, and 4 T.

Authors:  H Wen; T J Denison; R W Singerman; R S Balaban
Journal:  J Magn Reson       Date:  1997-03       Impact factor: 2.229

7.  SAR and B1 field distributions in a heterogeneous human head model within a birdcage coil. Specific energy absorption rate.

Authors:  C M Collins; S Li; M B Smith
Journal:  Magn Reson Med       Date:  1998-12       Impact factor: 4.668

8.  Power deposition and noise correlation in NMR samples.

Authors:  J W Carlson
Journal:  Magn Reson Med       Date:  1989-06       Impact factor: 4.668

9.  The field dependence of NMR imaging. I. Laboratory assessment of signal-to-noise ratio and power deposition.

Authors:  C N Chen; V J Sank; S M Cohen; D I Hoult
Journal:  Magn Reson Med       Date:  1986-10       Impact factor: 4.668

10.  On the field inhomogeneity of a birdcage coil.

Authors:  J Jin; G Shen; T Perkins
Journal:  Magn Reson Med       Date:  1994-09       Impact factor: 4.668

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  27 in total

1.  Calculation of SAR for Transmit Coil Arrays.

Authors:  Weihua Mao; Zhangwei Wang; Michael B Smith; Christopher M Collins
Journal:  Concepts Magn Reson Part B Magn Reson Eng       Date:  2007-04-05       Impact factor: 1.176

2.  Assessing the Electromagnetic Fields Generated By a Radiofrequency MRI Body Coil at 64 MHz: Defeaturing Versus Accuracy.

Authors:  Elena Lucano; Micaela Liberti; Gonzalo G Mendoza; Tom Lloyd; Maria Ida Iacono; Francesca Apollonio; Steve Wedan; Wolfgang Kainz; Leonardo M Angelone
Journal:  IEEE Trans Biomed Eng       Date:  2015-12-17       Impact factor: 4.538

3.  Analysis of the role of lead resistivity in specific absorption rate for deep brain stimulator leads at 3T MRI.

Authors:  Leonardo M Angelone; Jyrki Ahveninen; John W Belliveau; Giorgio Bonmassar
Journal:  IEEE Trans Med Imaging       Date:  2010-03-22       Impact factor: 10.048

4.  Array-optimized composite pulse for excellent whole-brain homogeneity in high-field MRI.

Authors:  Christopher M Collins; Zhangwei Wang; Weihua Mao; Jieming Fang; Wanzhan Liu; Michael B Smith
Journal:  Magn Reson Med       Date:  2007-03       Impact factor: 4.668

5.  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

6.  SAR and temperature: simulations and comparison to regulatory limits for MRI.

Authors:  Zhangwei Wang; James C Lin; Weihua Mao; Wanzhan Liu; Michael B Smith; Christopher M Collins
Journal:  J Magn Reson Imaging       Date:  2007-08       Impact factor: 4.813

7.  A multichannel, real-time MRI RF power monitor for independent SAR determination.

Authors:  Abdel-Monem M El-Sharkawy; Di Qian; Paul A Bottomley; William A Edelstein
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

8.  Toward 7T breast MRI clinical study: safety assessment using simulation of heterogeneous breast models in RF exposure.

Authors:  Xin Li; Joseph V Rispoli
Journal:  Magn Reson Med       Date:  2018-09-14       Impact factor: 4.668

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

Review 10.  Numerical field calculations considering the human subject for engineering and safety assurance in MRI.

Authors:  Christopher M Collins
Journal:  NMR Biomed       Date:  2009-11       Impact factor: 4.044

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