Literature DB >> 15596242

Determination of transverse relaxation rate for estimating iron deposits in central nervous system.

Tachio Hikita1, Kazuo Abe, Saburo Sakoda, Hisashi Tanaka, Kenya Murase, Norihiko Fujita.   

Abstract

To determine the amount of iron deposits in the basal ganglia, we examined 13 healthy volunteers with a 1.5 T MRI system using three transverse relaxation rates measured with two sequences. The transverse relaxation rates comprise the reversible contribution (R2') and irreversible contribution (R2) to a phase-reversal 180 degrees -pulse sequence. The transverse relaxation rates with the estimated iron indicated that both R2 and R2' had a robust relationship with brain iron level as determined from published post mortem data. This was the case only when the analyses are limited to the subcortical gray matter regions, however. R2' was affected by macroscopic magnetic field inhomogeneity arising from the skull bases, so that it was less robust for estimating the amount of iron deposits in the basal ganglia.

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Year:  2005        PMID: 15596242     DOI: 10.1016/j.neures.2004.09.006

Source DB:  PubMed          Journal:  Neurosci Res        ISSN: 0168-0102            Impact factor:   3.304


  16 in total

1.  Letter to the editor: Brain iron mapping using MRI relaxation rate or R₂* revisited.

Authors:  Khader M Hasan; Indika S Walimuni; Ponnada A Narayana
Journal:  Hum Brain Mapp       Date:  2011-08-05       Impact factor: 5.038

2.  Atlas-based investigation of human brain tissue microstructural spatial heterogeneity and interplay between transverse relaxation time and radial diffusivity.

Authors:  Indika S Walimuni; Khader M Hasan
Journal:  Neuroimage       Date:  2011-05-30       Impact factor: 6.556

3.  Human brain iron mapping using atlas-based T2 relaxometry.

Authors:  Khader M Hasan; Indika S Walimuni; Larry A Kramer; Ponnada A Narayana
Journal:  Magn Reson Med       Date:  2011-06-23       Impact factor: 4.668

4.  Comparison of R2' measurement methods in the normal brain at 3 Tesla.

Authors:  Wendy Ni; Thomas Christen; Zungho Zun; Greg Zaharchuk
Journal:  Magn Reson Med       Date:  2014-04-18       Impact factor: 4.668

5.  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

6.  Investigation on positive correlation of increased brain iron deposition with cognitive impairment in Alzheimer disease by using quantitative MR R2' mapping.

Authors:  Yuanyuan Qin; Wenzhen Zhu; Chuanjia Zhan; Lingyun Zhao; Jianzhi Wang; Qing Tian; Wei Wang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2011-08-07

7.  [Normal aging and imaging correlations].

Authors:  L Schuster; M Essig; J Schröder
Journal:  Radiologe       Date:  2011-04       Impact factor: 0.635

8.  GESFIDE-PROPELLER approach for simultaneous R2 and R2* measurements in the abdomen.

Authors:  Ning Jin; Yang Guo; Zhuoli Zhang; Longjiang Zhang; Guangming Lu; Andrew C Larson
Journal:  Magn Reson Imaging       Date:  2013-09-14       Impact factor: 2.546

9.  Quantitative MR imaging R2 relaxometry in elderly participants reporting memory loss.

Authors:  M J House; T G St Pierre; J K Foster; R N Martins; R Clarnette
Journal:  AJNR Am J Neuroradiol       Date:  2006-02       Impact factor: 3.825

Review 10.  Iron in chronic brain disorders: imaging and neurotherapeutic implications.

Authors:  James Stankiewicz; S Scott Panter; Mohit Neema; Ashish Arora; Courtney E Batt; Rohit Bakshi
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

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