Literature DB >> 11242222

High resolution MRI of the brainstem at 8 T.

P Novak1, V Novak, A Kangarlu, A M Abduljalil, D W Chakeres, P M Robitaille.   

Abstract

A recently developed ultra high field MRI system operating at 8 T (UHFMRI) was applied for brainstem imaging. UHFMRI was performed in five healthy volunteers (three men, two women; age range 34--46 years). Sagittal and axial slices were obtained with the following settings: GE, TR 750--1,000 ms, TE 7-9 ms, FOV 20 cm, matrix 1,024 x 1,024 or 512 x 512 points, slice thickness 2 mm, resolution 195 or 390 microm/pixel. The brainstem structures were assigned based on anatomy and course. Images with good signal strength and homogeneity were acquired from the midbrain and the pons. Main intraaxial structures could be directly visualized. The periaqueductal gray matter and nuclei had higher signal intensity than the predominantly white matter structures such as the corticobulbar/corticopontine/corticospinal tracts, the sensory lemnisci, and the medial longitudinal fasciculus. Structures with high iron content such as the substantia nigra and the red nucleus were seen as prominent signal hypointensities. Numerous vessels traversing the brainstem including small perforators were also distinguished. It is concluded that UHFMRI enables the acquisition of high quality images of the upper brainstem with details approaching that of histologic specimen.

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Year:  2001        PMID: 11242222     DOI: 10.1097/00004728-200103000-00016

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  9 in total

1.  Depth-dependence of visual signals in the human superior colliculus at 9.4 T.

Authors:  Joana R Loureiro; Gisela E Hagberg; Thomas Ethofer; Michael Erb; Jonas Bause; Philipp Ehses; Klaus Scheffler; Marc Himmelbach
Journal:  Hum Brain Mapp       Date:  2016-09-23       Impact factor: 5.038

2.  Signal intensity of the normal pontine tegmentum on T2-weighted MR imaging.

Authors:  Chiaki Asao; Toshinori Hirai; Masanori Imuta; Tomoko Okuda; Yoshitaka Goto; Masamichi Hamaguchi; Katsuro Sagara; Yukunori Korogi; Yasuyuki Yamashita
Journal:  Neuroradiology       Date:  2006-02-04       Impact factor: 2.804

3.  High-resolution ultrahigh-field MRI of stroke.

Authors:  Vera Novak; A M Abduljalil; P Novak; P M Robitaille
Journal:  Magn Reson Imaging       Date:  2005-05       Impact factor: 2.546

4.  On the origins of signal variance in FMRI of the human midbrain at high field.

Authors:  Robert L Barry; Mariam Coaster; Baxter P Rogers; Allen T Newton; Jay Moore; Adam W Anderson; David H Zald; John C Gore
Journal:  PLoS One       Date:  2013-04-26       Impact factor: 3.240

5.  In Vivo 7T MRI of the Non-Human Primate Brainstem.

Authors:  Laura M Zitella; YiZi Xiao; Benjamin A Teplitzky; Daniel J Kastl; Yuval Duchin; Kenneth B Baker; Jerrold L Vitek; Gregor Adriany; Essa Yacoub; Noam Harel; Matthew D Johnson
Journal:  PLoS One       Date:  2015-05-12       Impact factor: 3.240

6.  Ultra-high field magnetic resonance imaging of the basal ganglia and related structures.

Authors:  Birgit R Plantinga; Yasin Temel; Alard Roebroeck; Kâmil Uludağ; Dimo Ivanov; Mark L Kuijf; Bart M Ter Haar Romenij
Journal:  Front Hum Neurosci       Date:  2014-11-05       Impact factor: 3.169

Review 7.  Visualizing the Human Subcortex Using Ultra-high Field Magnetic Resonance Imaging.

Authors:  M C Keuken; B R Isaacs; R Trampel; W van der Zwaag; B U Forstmann
Journal:  Brain Topogr       Date:  2018-03-02       Impact factor: 3.020

8.  Diagnostic usefulness of 3 tesla MRI of the brain for cushing disease in a child.

Authors:  Erina Ono; Ayako Ozawa; Kaori Matoba; Takanori Motoki; Asako Tajima; Ichiro Miyata; Junko Ito; Naoko Inoshita; Syozo Yamada; Hiroyuki Ida
Journal:  Clin Pediatr Endocrinol       Date:  2011-11-15

9.  Subject-specific computational modeling of DBS in the PPTg area.

Authors:  Laura M Zitella; Benjamin A Teplitzky; Paul Yager; Heather M Hudson; Katelynn Brintz; Yuval Duchin; Noam Harel; Jerrold L Vitek; Kenneth B Baker; Matthew D Johnson
Journal:  Front Comput Neurosci       Date:  2015-07-14       Impact factor: 2.380

  9 in total

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