Literature DB >> 11687703

Diffusion-tensor MR imaging at 1.5 and 3.0 T: initial observations.

S Hunsche1, M E Moseley, P Stoeter, M Hedehus.   

Abstract

Diffusion-tensor MR imaging was compared at 1.5 and 3.0 T. With sufficient signal-to-noise ratio, we found no differences in fractional anisotropy. With a 40% higher signal-to-noise ratio at 3.0 T, higher resolution could be obtained without introduction of noise-related errors, albeit at the cost of increased geometric distortions caused by 3.0-T magnetic field inhomogeneities.

Mesh:

Year:  2001        PMID: 11687703     DOI: 10.1148/radiol.2212001823

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  35 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.  Visualisation of the medial longitudinal fasciculus using fibre tractography in multiple sclerosis patients with internuclear ophthalmoplegia.

Authors:  J P McNulty; R Lonergan; J Bannigan; R O'Laoide; L A Rainford; N Tubridy
Journal:  Ir J Med Sci       Date:  2016-01-19       Impact factor: 1.568

Review 4.  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

5.  A method for calibrating diffusion gradients in diffusion tensor imaging.

Authors:  Yu-Chien Wu; Andrew L Alexander
Journal:  J Comput Assist Tomogr       Date:  2007 Nov-Dec       Impact factor: 1.826

6.  A framework for quality control and parameter optimization in diffusion tensor imaging: theoretical analysis and validation.

Authors:  Khader M Hasan
Journal:  Magn Reson Imaging       Date:  2007-04-18       Impact factor: 2.546

7.  Quantitative diffusion tensor MR imaging of the brain: field strength related variance of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) scalars.

Authors:  Thierry A G M Huisman; Thomas Loenneker; Gerd Barta; Matthias E Bellemann; Juergen Hennig; Joachim E Fischer; Kamil A Il'yasov
Journal:  Eur Radiol       Date:  2006-03-11       Impact factor: 5.315

8.  Diffusion tensor imaging-based fractional anisotropy quantification in the corticospinal tract of patients with amyotrophic lateral sclerosis using a probabilistic mixture model.

Authors:  S K Schimrigk; B Bellenberg; M Schlüter; B Stieltjes; R Drescher; J Rexilius; C Lukas; H K Hahn; H Przuntek; O Köster
Journal:  AJNR Am J Neuroradiol       Date:  2007-04       Impact factor: 3.825

9.  Normal regional fractional anisotropy and apparent diffusion coefficient of the brain measured on a 3 T MR scanner.

Authors:  Christabel E C Lee; Laura E Danielian; David Thomasson; Eva H Baker
Journal:  Neuroradiology       Date:  2008-08-13       Impact factor: 2.804

10.  Diagnostic value of diffusion weighted MRI and ADC in differential diagnosis of cavernous hemangioma of the liver.

Authors:  Ozlem Tokgoz; Ebru Unlu; Ilker Unal; Ismail Serifoglu; Ilker Oz; Elif Aktas; Emrah Caglar
Journal:  Afr Health Sci       Date:  2016-03       Impact factor: 0.927

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