Literature DB >> 32691472

Volumetric imaging of myelin in vivo using 3D inversion recovery-prepared ultrashort echo time cones magnetic resonance imaging.

Ya-Jun Ma1, Adam C Searleman1, Hyungseok Jang1, Shu-Juan Fan1, Jonathan Wong1,2, Yanping Xue1, Zhenyu Cai1, Eric Y Chang1,2, Jody Corey-Bloom3, Jiang Du1.   

Abstract

Direct myelin imaging is promising for characterization of multiple sclerosis (MS) brains at diagnosis and in response to therapy. In this study, a 3D inversion recovery-prepared ultrashort echo time cones (IR-UTE-Cones) sequence was used for both morphological and quantitative imaging of myelin on a clinical 3 T scanner. Myelin powder phantoms with different myelin concentrations were imaged with the 3D UTE-Cones sequence and it showed a strong correlation between concentrations and UTE-Cones signals, demonstrating the ability of the UTE-Cones sequence to directly image myelin in the brain. Quantitative myelin imaging with multi-echo IR-UTE-Cones sequences show similar T2 * values for a D2 O-exchanged myelin phantom (T2 * = 0.33 ± 0.04 ms), ex vivo brain specimens (T2 * = 0.20 ± 0.04 ms) and in vivo healthy volunteers (T2 * = 0.254 ± 0.023 ms), further confirming the feasibility of 3D IR-UTE-Cones sequences for direct myelin imaging in vivo. In ex vivo MS brain study, signal loss is observed in MS lesions, which was confirmed with histology. For the in vivo study, the lesions in MS patients also show myelin signal loss using the proposed direct myelin imaging method, demonstrating the clinical potential for MS diagnosis. Furthermore, the measured IR-UTE-Cones signal intensities show a significant difference between normal-appearing white matter in MS patients and normal white matter in volunteers, which cannot be found in clinical used T2 -FLAIR sequences. Thus, the proposed 3D IR-UTE-Cones sequence showed clinical potential for MS diagnosis with the capability of direct myelin detection of the whole brain.
© 2020 John Wiley & Sons, Ltd.

Entities:  

Keywords:  3D Cones; Myelin imaging; adiabatic inversion recovery

Year:  2020        PMID: 32691472      PMCID: PMC7952008          DOI: 10.1002/nbm.4326

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  48 in total

1.  Accurate T1 mapping of short T2 tissues using a three-dimensional ultrashort echo time cones actual flip angle imaging-variable repetition time (3D UTE-Cones AFI-VTR) method.

Authors:  Ya-Jun Ma; Xing Lu; Michael Carl; Yanchun Zhu; Nikolaus M Szeverenyi; Graeme M Bydder; Eric Y Chang; Jiang Du
Journal:  Magn Reson Med       Date:  2018-01-03       Impact factor: 4.668

2.  Sparse MRI: The application of compressed sensing for rapid MR imaging.

Authors:  Michael Lustig; David Donoho; John M Pauly
Journal:  Magn Reson Med       Date:  2007-12       Impact factor: 4.668

3.  Three-dimensional adiabatic inversion recovery prepared ultrashort echo time cones (3D IR-UTE-Cones) imaging of cortical bone in the hip.

Authors:  Amin Nazaran; Michael Carl; Yajun Ma; Saeed Jerban; Yanchun Zhu; Xing Lu; Jiang Du; Eric Y Chang
Journal:  Magn Reson Imaging       Date:  2017-07-15       Impact factor: 2.546

4.  Origins of the ultrashort-T2 1H NMR signals in myelinated nerve: a direct measure of myelin content?

Authors:  R Adam Horch; John C Gore; Mark D Does
Journal:  Magn Reson Med       Date:  2011-05-13       Impact factor: 4.668

5.  UTE imaging with simultaneous water and fat signal suppression using a time-efficient multispoke inversion recovery pulse sequence.

Authors:  Michael Carl; Graeme M Bydder; Jiang Du
Journal:  Magn Reson Med       Date:  2015-08-26       Impact factor: 4.668

6.  Towards quantification of myelin by solid-state MRI of the lipid matrix protons.

Authors:  Alan C Seifert; Cheng Li; Michael J Wilhelm; Suzanne L Wehrli; Felix W Wehrli
Journal:  Neuroimage       Date:  2017-09-28       Impact factor: 6.556

7.  Myelin water imaging reflects clinical variability in multiple sclerosis.

Authors:  Shannon Kolind; Lucy Matthews; Heidi Johansen-Berg; M Isabel Leite; Steven C R Williams; Sean Deoni; Jackie Palace
Journal:  Neuroimage       Date:  2011-12-06       Impact factor: 6.556

8.  Orientation Dependent MR Signal Decay Differentiates between People with MS, Their Asymptomatic Siblings and Unrelated Healthy Controls.

Authors:  Enedino Hernández-Torres; Vanessa Wiggermann; Simon Hametner; Tobias R Baumeister; A Dessa Sadovnick; Yinshan Zhao; Lindsay Machan; David K B Li; Anthony Traboulsee; Alexander Rauscher
Journal:  PLoS One       Date:  2015-10-21       Impact factor: 3.240

9.  Pathogenic implications of distinct patterns of iron and zinc in chronic MS lesions.

Authors:  Bogdan F Popescu; Josa M Frischer; Samuel M Webb; Mylyne Tham; Reginald C Adiele; Christopher A Robinson; Patrick D Fitz-Gibbon; Stephen D Weigand; Imke Metz; Susan Nehzati; Graham N George; Ingrid J Pickering; Wolfgang Brück; Simon Hametner; Hans Lassmann; Joseph E Parisi; Guo Yong; Claudia F Lucchinetti
Journal:  Acta Neuropathol       Date:  2017-03-22       Impact factor: 17.088

10.  Measurement of T1 of the ultrashort T2* components in white matter of the brain at 3T.

Authors:  Jiang Du; Vipul Sheth; Qun He; Michael Carl; Jun Chen; Jody Corey-Bloom; Graeme M Bydder
Journal:  PLoS One       Date:  2014-08-05       Impact factor: 3.240

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  1 in total

1.  Brain ultrashort T2 component imaging using a short TR adiabatic inversion recovery prepared dual-echo ultrashort TE sequence with complex echo subtraction (STAIR-dUTE-ES).

Authors:  Ya-Jun Ma; Hyungseok Jang; Zhao Wei; Mei Wu; Eric Y Chang; Jody Corey-Bloom; Graeme M Bydder; Jiang Du
Journal:  J Magn Reson       Date:  2020-12-28       Impact factor: 2.229

  1 in total

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