Literature DB >> 11810670

Compartmental study of T(1) and T(2) in rat brain and trigeminal nerve in vivo.

Mark D Does1, John C Gore.   

Abstract

The integrated T(1)-T(2) characteristics of rat brain and trigeminal nerve water were studied in vivo using a rapid method for acquiring a series of images that depend on T(1) and T(2) relaxation times. Gray matter regions showed only one signal component in both the T(1) and T(2) domains. Trigeminal nerve, however, which has been shown previously to exhibit three T(2) components, was found to also exhibit three T(1) components. The correlations between these T(1) and T(2) components were demonstrated by uniquely filtering out each of the three T(2) components using an inversion-recovery preparation, as determined by the component T(1) values. Based on previous works, it is postulated that each of these three signal components is derived from a unique microanatomical region of the nerve. Knowledge of these T(1) components may thus prove valuable in devising novel methods of identifying the presence and quantifying the volume of tissue subtypes such as myelin. Copyright 2002 Wiley-Liss, Inc.

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Mesh:

Year:  2002        PMID: 11810670     DOI: 10.1002/mrm.10060

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


  45 in total

1.  Probing signal phase in direct visualization of short transverse relaxation time component (ViSTa).

Authors:  Daeun Kim; Hyo Min Lee; Se-Hong Oh; Jongho Lee
Journal:  Magn Reson Med       Date:  2014-08-22       Impact factor: 4.668

2.  Fast multicomponent 3D-T relaxometry.

Authors:  Marcelo V W Zibetti; Elias S Helou; Azadeh Sharafi; Ravinder R Regatte
Journal:  NMR Biomed       Date:  2020-05-02       Impact factor: 4.044

Review 3.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

4.  Inversion recovery ultrashort echo time imaging of ultrashort T2 tissue components in ovine brain at 3 T: a sequential D2 O exchange study.

Authors:  Shu-Juan Fan; Yajun Ma; Eric Y Chang; Graeme M Bydder; Jiang Du
Journal:  NMR Biomed       Date:  2017-07-21       Impact factor: 4.044

5.  PROBING IN VIVO MICROSTRUCTURE WITH T 1-T 2 RELAXATION CORRELATION SPECTROSCOPIC IMAGING.

Authors:  Daeun Kim; Jessica L Wisnowski; Christopher T Nguyen; Justin P Haldar
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2018-05-24

6.  Myelin volume fraction imaging with MRI.

Authors:  Kathryn L West; Nathaniel D Kelm; Robert P Carson; Daniel F Gochberg; Kevin C Ess; Mark D Does
Journal:  Neuroimage       Date:  2016-12-23       Impact factor: 6.556

7.  Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging.

Authors:  Zhaohua Ding; Ran Xu; Stephen K Bailey; Tung-Lin Wu; Victoria L Morgan; Laurie E Cutting; Adam W Anderson; John C Gore
Journal:  Magn Reson Imaging       Date:  2015-10-23       Impact factor: 2.546

8.  Validation of oxygen extraction fraction measurement by qBOLD technique.

Authors:  Xiang He; Mingming Zhu; Dmitriy A Yablonskiy
Journal:  Magn Reson Med       Date:  2008-10       Impact factor: 4.668

9.  Analysis and correction of biases in cross-relaxation MRI due to biexponential longitudinal relaxation.

Authors:  Pouria Mossahebi; Vasily L Yarnykh; Alexey Samsonov
Journal:  Magn Reson Med       Date:  2014-02       Impact factor: 4.668

Review 10.  The role of tissue microstructure and water exchange in biophysical modelling of diffusion in white matter.

Authors:  Markus Nilsson; Danielle van Westen; Freddy Ståhlberg; Pia C Sundgren; Jimmy Lätt
Journal:  MAGMA       Date:  2013-02-27       Impact factor: 2.310

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