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Journal Abstract Search

914 related items for PubMed ID: 21925274

  • 1. MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping.
    Bilgic B, Pfefferbaum A, Rohlfing T, Sullivan EV, Adalsteinsson E.
    Neuroimage; 2012 Feb 01; 59(3):2625-35. PubMed ID: 21925274
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  • 2. MRI estimates of brain iron concentration in normal aging: comparison of field-dependent (FDRI) and phase (SWI) methods.
    Pfefferbaum A, Adalsteinsson E, Rohlfing T, Sullivan EV.
    Neuroimage; 2009 Aug 15; 47(2):493-500. PubMed ID: 19442747
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  • 3. Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: application to determine iron content in deep gray matter structures.
    Lim IA, Faria AV, Li X, Hsu JT, Airan RD, Mori S, van Zijl PC.
    Neuroimage; 2013 Nov 15; 82():449-69. PubMed ID: 23769915
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  • 4. Quantitative susceptibility mapping by inversion of a perturbation field model: correlation with brain iron in normal aging.
    Poynton CB, Jenkinson M, Adalsteinsson E, Sullivan EV, Pfefferbaum A, Wells W.
    IEEE Trans Med Imaging; 2015 Jan 15; 34(1):339-53. PubMed ID: 25248179
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  • 5. High-resolution characterisation of the aging brain using simultaneous quantitative susceptibility mapping (QSM) and R2* measurements at 7T.
    Betts MJ, Acosta-Cabronero J, Cardenas-Blanco A, Nestor PJ, Düzel E.
    Neuroimage; 2016 Sep 15; 138():43-63. PubMed ID: 27181761
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  • 6. Value of transverse relaxometry difference methods for iron in human brain.
    Uddin MN, Lebel RM, Wilman AH.
    Magn Reson Imaging; 2016 Jan 15; 34(1):51-9. PubMed ID: 26435459
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  • 7. Diffusion tensor imaging of deep gray matter brain structures: effects of age and iron concentration.
    Pfefferbaum A, Adalsteinsson E, Rohlfing T, Sullivan EV.
    Neurobiol Aging; 2010 Mar 15; 31(3):482-93. PubMed ID: 18513834
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  • 8. Structural and functional quantitative susceptibility mapping from standard fMRI studies.
    Sun H, Seres P, Wilman AH.
    NMR Biomed; 2017 Apr 15; 30(4):. PubMed ID: 27687150
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  • 9. MR evaluation of age-related increase of brain iron in young adult and older normal males.
    Bartzokis G, Beckson M, Hance DB, Marx P, Foster JA, Marder SR.
    Magn Reson Imaging; 1997 Apr 15; 15(1):29-35. PubMed ID: 9084022
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  • 12. Quantitative susceptibility mapping across two clinical field strengths: Contrast-to-noise ratio enhancement at 1.5T.
    Ippoliti M, Adams LC, Winfried B, Hamm B, Spincemaille P, Wang Y, Makowski MR.
    J Magn Reson Imaging; 2018 Nov 15; 48(5):1410-1420. PubMed ID: 29659131
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  • 13. The influence of brain iron and myelin on magnetic susceptibility and effective transverse relaxation - A biochemical and histological validation study.
    Hametner S, Endmayr V, Deistung A, Palmrich P, Prihoda M, Haimburger E, Menard C, Feng X, Haider T, Leisser M, Köck U, Kaider A, Höftberger R, Robinson S, Reichenbach JR, Lassmann H, Traxler H, Trattnig S, Grabner G.
    Neuroimage; 2018 Oct 01; 179():117-133. PubMed ID: 29890327
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  • 17. Assessing global and regional iron content in deep gray matter as a function of age using susceptibility mapping.
    Liu M, Liu S, Ghassaban K, Zheng W, Dicicco D, Miao Y, Habib C, Jazmati T, Haacke EM.
    J Magn Reson Imaging; 2016 Jul 01; 44(1):59-71. PubMed ID: 26695834
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  • 18. Brain iron assessment in patients with First-episode schizophrenia using quantitative susceptibility mapping.
    Xu M, Guo Y, Cheng J, Xue K, Yang M, Song X, Feng Y, Cheng J.
    Neuroimage Clin; 2021 Jul 01; 31():102736. PubMed ID: 34186296
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