Literature DB >> 17969101

Apparent transverse relaxation rate in human brain varies linearly with tissue iron concentration at 4.7 T.

Fumiyuki Mitsumori1, Hidehiro Watanabe, Nobuhiro Takaya, Michael Garwood.   

Abstract

Multiple pairs of adiabatic passage pulses were implemented in a spin-echo sequence to achieve accurate measurements of the apparent transverse relaxation time (T(2)(dagger)) in a short scan time. In experiments on agarose gel phantoms with T(2) values ranging from 30 to 105 ms, the measured T(2)(dagger) values were in good agreement with transverse relaxation times measured with a nonselective Carr-Purcell-Meiboom-Gill sequence. In experiments on normal human brain at 4.7 T, T(2) (dagger) values in five different gray matter regions were found to range from 38 +/- 2 ms (globus pallidus) to 64 +/- 2 ms (frontal cortex). The apparent relaxation rate (1/T(2)(dagger)) in these five regions showed strong correlation (r = 0.97) with published levels of iron (Fe) in those regions. The linear coefficient relating 1/T(2)(dagger) and [Fe] at 4.7 T was measured to be 0.551 (s x mg Fe/100 g f.w.)(-1). When compared with the values obtained in a previous report for six different static fields (B(0)) up to 1.5 T, the current measurement confirms the linear dependence of the linear coefficient on B(0) up to 4.7 T (r = 0.99). These results suggest that the T(2)(dagger) value in the human brain is predominantly affected by the nonhemin iron distribution. The strong correlation between the obtained T(2)(dagger) values and the regional iron concentrations suggests a role for this pulse sequence in quantifying in vivo brain iron at high magnetic field. Copyright 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17969101     DOI: 10.1002/mrm.21373

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


  10 in total

1.  Toward understanding transverse relaxation in human brain through its field dependence.

Authors:  Fumiyuki Mitsumori; Hidehiro Watanabe; Nobuhiro Takaya; Michael Garwood; Edward J Auerbach; Shalom Michaeli; Silvia Mangia
Journal:  Magn Reson Med       Date:  2011-12-08       Impact factor: 4.668

2.  Regional differences in MRI detection of amyloid plaques in AD transgenic mouse brain.

Authors:  T M Wengenack; D A Reyes; G L Curran; B J Borowski; J Lin; G M Preboske; S S Holasek; E J Gilles; R Chamberlain; M Marjanska; C R Jack; M Garwood; J F Poduslo
Journal:  Neuroimage       Date:  2010-08-20       Impact factor: 6.556

3.  MRI relaxation in the presence of fictitious fields correlates with myelin content in normal rat brain.

Authors:  Hanne Hakkarainen; Alejandra Sierra; Silvia Mangia; Michael Garwood; Shalom Michaeli; Olli Gröhn; Timo Liimatainen
Journal:  Magn Reson Med       Date:  2015-02-03       Impact factor: 4.668

4.  In vivo assessment of age-related brain iron differences by magnetic field correlation imaging.

Authors:  Vitria Adisetiyo; Jens H Jensen; Anita Ramani; Ali Tabesh; Adriana Di Martino; Els Fieremans; Francisco X Castellanos; Joseph A Helpern
Journal:  J Magn Reson Imaging       Date:  2012-03-05       Impact factor: 4.813

5.  Brain iron detected by SWI high pass filtered phase calibrated with synchrotron X-ray fluorescence.

Authors:  Karla Hopp; Bogdan F Gh Popescu; Richard P E McCrea; Sheri L Harder; Christopher A Robinson; Mark E Haacke; Ali H Rajput; Alex Rajput; Helen Nichol
Journal:  J Magn Reson Imaging       Date:  2010-06       Impact factor: 4.813

6.  Age dependence of regional proton metabolites T2 relaxation times in the human brain at 3 T.

Authors:  Ivan I Kirov; Lazar Fleysher; Roman Fleysher; Vishal Patil; Songtao Liu; Oded Gonen
Journal:  Magn Reson Med       Date:  2008-10       Impact factor: 4.668

7.  Characterization of T(2)* heterogeneity in human brain white matter.

Authors:  Tie-Qiang Li; Bing Yao; Peter van Gelderen; Hellmut Merkle; Stephen Dodd; Lalith Talagala; Alan P Koretsky; Jeff Duyn
Journal:  Magn Reson Med       Date:  2009-12       Impact factor: 4.668

8.  Magnetic field correlation as a measure of iron-generated magnetic field inhomogeneities in the brain.

Authors:  Jens H Jensen; Kamila Szulc; Caixia Hu; Anita Ramani; Hanzhang Lu; Liang Xuan; Maria F Falangola; Ramesh Chandra; Edmond A Knopp; John Schenck; Earl A Zimmerman; Joseph A Helpern
Journal:  Magn Reson Med       Date:  2009-02       Impact factor: 4.668

9.  Quantitative T2 mapping of white matter: applications for ageing and cognitive decline.

Authors:  Michael J Knight; Bryony McCann; Demitra Tsivos; Serena Dillon; Elizabeth Coulthard; Risto A Kauppinen
Journal:  Phys Med Biol       Date:  2016-07-06       Impact factor: 3.609

10.  Quantitation Error in 1H MRS Caused by B1 Inhomogeneity and Chemical Shift Displacement.

Authors:  Hidehiro Watanabe; Nobuhiro Takaya
Journal:  Magn Reson Med Sci       Date:  2017-11-08       Impact factor: 2.471

  10 in total

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