Literature DB >> 18524522

Optimised in vivo visualisation of cortical structures in the human brain at 3 T using IR-TSE.

Robert Turner1, Ana-Maria Oros-Peusquens, Sandro Romanzetti, Karl Zilles, N Jon Shah.   

Abstract

The primary visual cortex in humans can be identified using magnetic resonance imaging (MRI) in vivo by detection of the stria of Gennari. To fully characterize this area, high spatial resolution is essential, including the use of very thin image slices to avoid loss of definition due to partial volume effects. A three-dimensional magnetization-prepared turbo spin-echo sequence, with appropriate parameter optimization, provided high-resolution imaging (0.4 x 0.4 x 0.5 mm3) on a clinical 3-T scanner with adequate contrast to noise ratio. These images allowed visualisation of the stria of Gennari in every slice of a volume covering most of the occipital cortex, in each of six healthy volunteers. The effective longitudinal relaxation time was measured with the isotropic resolution turbo spin echo sequence and found to be substantially shorter than values measured with a dedicated relaxometric sequence. The shortening was attributed to magnetization transfer effects, as supported by the investigation of its slab and turbo-factor dependence.

Entities:  

Mesh:

Year:  2008        PMID: 18524522     DOI: 10.1016/j.mri.2008.01.043

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  13 in total

1.  T₂* mapping and B₀ orientation-dependence at 7 T reveal cyto- and myeloarchitecture organization of the human cortex.

Authors:  J Cohen-Adad; J R Polimeni; K G Helmer; T Benner; J A McNab; L L Wald; B R Rosen; C Mainero
Journal:  Neuroimage       Date:  2012-01-15       Impact factor: 6.556

2.  Magnetic field dependence of the distribution of NMR relaxation times in the living human brain.

Authors:  A M Oros-Peusquens; M Laurila; N J Shah
Journal:  MAGMA       Date:  2008-03-13       Impact factor: 2.310

3.  Identification of cortical lamination in awake monkeys by high resolution magnetic resonance imaging.

Authors:  Gang Chen; Feng Wang; John C Gore; Anna W Roe
Journal:  Neuroimage       Date:  2011-11-03       Impact factor: 6.556

4.  Subject-specific functional localizers increase sensitivity and functional resolution of multi-subject analyses.

Authors:  Alfonso Nieto-Castañón; Evelina Fedorenko
Journal:  Neuroimage       Date:  2012-07-08       Impact factor: 6.556

5.  Visualizing myeloarchitecture with magnetic resonance imaging in primates.

Authors:  Nicholas A Bock; Eyesha Hashim; Ara Kocharyan; Afonso C Silva
Journal:  Ann N Y Acad Sci       Date:  2011-05       Impact factor: 5.691

6.  Real diffusion-weighted MRI enabling true signal averaging and increased diffusion contrast.

Authors:  Cornelius Eichner; Stephen F Cauley; Julien Cohen-Adad; Harald E Möller; Robert Turner; Kawin Setsompop; Lawrence L Wald
Journal:  Neuroimage       Date:  2015-08-01       Impact factor: 6.556

7.  Microstructural Parcellation of the Human Cerebral Cortex - From Brodmann's Post-Mortem Map to in vivo Mapping with High-Field Magnetic Resonance Imaging.

Authors:  Stefan Geyer; Marcel Weiss; Katja Reimann; Gabriele Lohmann; Robert Turner
Journal:  Front Hum Neurosci       Date:  2011-02-18       Impact factor: 3.169

8.  Motion-Correction Enabled Ultra-High Resolution In-Vivo 7T-MRI of the Brain.

Authors:  Christian Federau; Daniel Gallichan
Journal:  PLoS One       Date:  2016-05-09       Impact factor: 3.240

9.  A 3D two-point method for whole-brain water content and relaxation time mapping: Comparison with gold standard methods.

Authors:  Melissa Schall; Markus Zimmermann; Elene Iordanishvili; Yun Gu; N Jon Shah; Ana-Maria Oros-Peusquens
Journal:  PLoS One       Date:  2018-08-30       Impact factor: 3.240

10.  Using diffusion MRI to discriminate areas of cortical grey matter.

Authors:  Tharindu Ganepola; Zoltan Nagy; Aurobrata Ghosh; Theodore Papadopoulo; Daniel C Alexander; Martin I Sereno
Journal:  Neuroimage       Date:  2017-12-21       Impact factor: 6.556

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