Literature DB >> 12884329

Automated unwrapping of MR phase images applied to BOLD MR-venography at 3 Tesla.

Alexander Rauscher1, Markus Barth, Jürgen R Reichenbach, Rudolf Stollberger, Ewald Moser.   

Abstract

PURPOSE: To improve the diagnostic value of BOLD MR-Venography by removing artifacts related to phase wrapping, particularly in regions of large background susceptibilities at high magnetic field strengths.
MATERIALS AND METHODS: High resolution, T(2)(*)-weighted, single echo images were acquired on a 3 T system (Medspec 30/80 Avance, Bruker Medical, Ettlingen, Germany) with a three-dimensional, first order velocity compensated gradient echo sequence using a quadrature transmit/receive birdcage head coil. Data of nine healthy subjects and 19 patients were evaluated (age range: 27 to 76 years). To achieve improved MR-venograms, a fully automated region-growing phase unwrapping algorithm and subsequent high pass filtering were applied to phase images prior to the computation of minimum intensity projections.
RESULTS: Considerably improved visualization of venous structures in regions of large background susceptibility-induced field inhomogeneities is demonstrated in healthy subjects and patients with brain tumors.
CONCLUSION: BOLD MR venograms are improved compared to previous post-processing algorithms. It is now feasible to obtain high-resolution images also in inhomogeneous regions, which increases the clinical potential of BOLD MR-Venography. Copyright 2003 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2003        PMID: 12884329     DOI: 10.1002/jmri.10346

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  27 in total

1.  MR venography of the human brain using susceptibility weighted imaging at very high field strength.

Authors:  Peter J Koopmans; Rashindra Manniesing; Wiro J Niessen; Max A Viergever; Markus Barth
Journal:  MAGMA       Date:  2008-01-11       Impact factor: 2.310

2.  Origins of R2* orientation dependence in gray and white matter.

Authors:  David A Rudko; L Martyn Klassen; Sonali N de Chickera; Joseph S Gati; Gregory A Dekaban; Ravi S Menon
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-27       Impact factor: 11.205

3.  Magnetic susceptibility-weighted MR phase imaging of the human brain.

Authors:  Alexander Rauscher; Jan Sedlacik; Markus Barth; Hans-Joachim Mentzel; Jürgen R Reichenbach
Journal:  AJNR Am J Neuroradiol       Date:  2005-04       Impact factor: 3.825

4.  High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility.

Authors:  Chunlei Liu; Wei Li; G Allan Johnson; Bing Wu
Journal:  Neuroimage       Date:  2011-02-12       Impact factor: 6.556

5.  Detection of calcifications in vivo and ex vivo after brain injury in rat using SWIFT.

Authors:  Lauri Juhani Lehto; Alejandra Sierra; Curtis Andrew Corum; Jinjin Zhang; Djaudat Idiyatullin; Asla Pitkänen; Michael Garwood; Olli Gröhn
Journal:  Neuroimage       Date:  2012-03-09       Impact factor: 6.556

6.  Enhanced susceptibility-weighted angiography (ESWAN) of cerebral arteries and veins at 1.5 Tesla.

Authors:  L Chen; J Zhang; Q-X Wang; L Peng; X Luo; W-Z Zhu; A K Roshan; J-P Qi; H Wang
Journal:  Br J Radiol       Date:  2014-05-02       Impact factor: 3.039

7.  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

8.  Enhanced positive-contrast visualization of paramagnetic contrast agents using phase images.

Authors:  Parker H Mills; Eric T Ahrens
Journal:  Magn Reson Med       Date:  2009-11       Impact factor: 4.668

9.  Robust tissue-air volume segmentation of MR images based on the statistics of phase and magnitude: Its applications in the display of susceptibility-weighted imaging of the brain.

Authors:  Yiping P Du; Zhaoyang Jin
Journal:  J Magn Reson Imaging       Date:  2009-10       Impact factor: 4.813

10.  GRAPPA-based susceptibility-weighted imaging of normal volunteers and patients with brain tumor at 7 T.

Authors:  Janine M Lupo; Suchandrima Banerjee; Kathryn E Hammond; Douglas A C Kelley; Duan Xu; Susan M Chang; Daniel B Vigneron; Sharmila Majumdar; Sarah J Nelson
Journal:  Magn Reson Imaging       Date:  2008-09-26       Impact factor: 2.546

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