Literature DB >> 11105717

High-resolution MR venography at 3.0 Tesla.

J R Reichenbach1, M Barth, E M Haacke, M Klarhöfer, W A Kaiser, E Moser.   

Abstract

PURPOSE: The aim of this study was to investigate the visualization of small venous vessels in the normal human brain at a field strength of 3 Tesla.
METHODS: T2*-weighted, three-dimensional gradient-echo images were acquired by exploiting the magnetic susceptibility difference between oxygenated and deoxygenated hemoglobin in the vasculature and microvasculature. The spatial resolution was 0.5 x 0.5 x 1 mm3, and sequence parameters were varied to obtain good vessel delineation. Improved visibility of venous vessels was obtained by creating phase mask images from the magnetic resonance phase images and multiplying these by the magnitude images. Venograms were created by performing a minimum intensity projection over targeted volumes.
RESULTS: Highly detailed visualization of venous structures deep in the brain and in the superficial cortical areas were obtained without administration of an exogenous contrast agent; compared with similar studies performed at 1.5 T, the echo time could be reduced from typically 40-50 ms to 17-28 ms.
CONCLUSION: Imaging at high-field strength offers the possibility of improved resolution and the delineation of smaller vessels compared with lower field strengths.

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Year:  2000        PMID: 11105717     DOI: 10.1097/00004728-200011000-00023

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


  55 in total

Review 1.  [Clinical MR at 3 Tesla: current status].

Authors:  K T Baudendistel; J T Heverhagen; M V Knopp
Journal:  Radiologe       Date:  2004-01       Impact factor: 0.635

2.  Magnetic resonance imaging protocols for examination of the neurocranium at 3 T.

Authors:  W Schwindt; H Kugel; R Bachmann; S Kloska; T Allkemper; D Maintz; B Pfleiderer; B Tombach; W Heindel
Journal:  Eur Radiol       Date:  2003-07-05       Impact factor: 5.315

3.  Susceptibility-weighted imaging in patients with pyogenic brain abscesses at 1.5T: characteristics of the abscess capsule.

Authors:  P H Lai; H C Chang; T C Chuang; H W Chung; J Y Li; M J Weng; J H Fu; P C Wang; S C Li; H B Pan
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-26       Impact factor: 3.825

4.  Fat quantification by use of phase change in dual-echo magnetic resonance imaging.

Authors:  Yoshiyuki Ishimori; Masahiko Monma; Hitoshi Sakurai; Kouichi Iwai; Nobuyoshi Ishikawa
Journal:  Radiol Phys Technol       Date:  2007-11-30

5.  MRI of blood-brain barrier permeability in cerebral ischemia.

Authors:  Quan Jiang; James R Ewing; Michael Chopp
Journal:  Transl Stroke Res       Date:  2012-03       Impact factor: 6.829

Review 6.  The optimal use of contrast agents at high field MRI.

Authors:  Siegfried Trattnig; Kathia Pinker; Ahmed Ba-Ssalamah; Iris-Melanie Nöbauer-Huhmann
Journal:  Eur Radiol       Date:  2006-03-01       Impact factor: 5.315

7.  High-field, high-resolution, susceptibility-weighted magnetic resonance imaging: improved image quality by addition of contrast agent and higher field strength in patients with brain tumors.

Authors:  K Pinker; I M Noebauer-Huhmann; I Stavrou; R Hoeftberger; P Szomolanyi; M Weber; A Stadlbauer; G Grabner; E Knosp; S Trattnig
Journal:  Neuroradiology       Date:  2007-09-18       Impact factor: 2.804

8.  Reduction of artifacts in susceptibility-weighted MR venography of the brain.

Authors:  Zhaoyang Jin; Ling Xia; Yiping P Du
Journal:  J Magn Reson Imaging       Date:  2008-08       Impact factor: 4.813

9.  Layer-specific BOLD activation in human V1.

Authors:  Peter J Koopmans; Markus Barth; David G Norris
Journal:  Hum Brain Mapp       Date:  2010-09       Impact factor: 5.038

Review 10.  Susceptibility-weighted imaging: current status and future directions.

Authors:  Saifeng Liu; Sagar Buch; Yongsheng Chen; Hyun-Seok Choi; Yongming Dai; Charbel Habib; Jiani Hu; Joon-Yong Jung; Yu Luo; David Utriainen; Meiyun Wang; Dongmei Wu; Shuang Xia; E Mark Haacke
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

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