Literature DB >> 18096412

Development of a robust method for generating 7.0 T multichannel phase images of the brain with application to normal volunteers and patients with neurological diseases.

Kathryn E Hammond1, Janine M Lupo, Duan Xu, Meredith Metcalf, Douglas A C Kelley, Daniel Pelletier, Susan M Chang, Pratik Mukherjee, Daniel B Vigneron, Sarah J Nelson.   

Abstract

The increased susceptibility effects and high signal-to-noise ratio at 7.0 T enable imaging of the brain using the phase of the magnetic resonance signal. This study describes and evaluates a robust method for calculating phase images from gradient-recalled echo (GRE) scans. The GRE scans were acquired at 7.0 T using an eight-channel receive coil at spatial resolutions up to 0.195 x 0.260 x 2.00 mm. The entire 7.0 T protocol took less than 10 min. Data were acquired from forty-seven subjects including clinical patients with multiple sclerosis (MS) or brain tumors. The phase images were post-processed using a fully automated phase unwrapping algorithm that combined the data from the different channels. The technique was used to create the first phase images of MS patients at any field strength and the first phase images of brain tumor patients above 1.5 T. The clinical images showed novel contrast in MS plaques and depicted microhemorrhages and abnormal vasculature in brain tumors with unsurpassed resolution and contrast.

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Mesh:

Year:  2007        PMID: 18096412      PMCID: PMC2377156          DOI: 10.1016/j.neuroimage.2007.10.037

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  38 in total

1.  Fast, fully automated global and local magnetic field optimization for fMRI of the human brain.

Authors:  James L Wilson; Mark Jenkinson; Ivan de Araujo; Morten L Kringelbach; Edmund T Rolls; Peter Jezzard
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

2.  Rapid in vivo proton shimming.

Authors:  E Schneider; G Glover
Journal:  Magn Reson Med       Date:  1991-04       Impact factor: 4.668

Review 3.  Imaging iron stores in the brain using magnetic resonance imaging.

Authors:  E Mark Haacke; Norman Y C Cheng; Michael J House; Qiang Liu; Jaladhar Neelavalli; Robert J Ogg; Asadullah Khan; Muhammad Ayaz; Wolff Kirsch; Andre Obenaus
Journal:  Magn Reson Imaging       Date:  2005-01       Impact factor: 2.546

4.  Susceptibility-weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses.

Authors:  Vivek Sehgal; Zachary Delproposto; Djamel Haddar; E Mark Haacke; Andrew E Sloan; Lucia J Zamorano; Geoffery Barger; Jiani Hu; Yingbiao Xu; Karthik Praveen Prabhakaran; Ilaya R Elangovan; Jaladhar Neelavalli; Jürgen R Reichenbach
Journal:  J Magn Reson Imaging       Date:  2006-07       Impact factor: 4.813

5.  High-field MRI of brain cortical substructure based on signal phase.

Authors:  Jeff H Duyn; Peter van Gelderen; Tie-Qiang Li; Jacco A de Zwart; Alan P Koretsky; Masaki Fukunaga
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

6.  MRI of brain iron.

Authors:  B Drayer; P Burger; R Darwin; S Riederer; R Herfkens; G A Johnson
Journal:  AJR Am J Roentgenol       Date:  1986-07       Impact factor: 3.959

Review 7.  Iron and iron management proteins in neurobiology.

Authors:  J R Connor; S L Menzies; J R Burdo; P J Boyer
Journal:  Pediatr Neurol       Date:  2001-08       Impact factor: 3.372

8.  Transferrin and iron in normal, Alzheimer's disease, and Parkinson's disease brain regions.

Authors:  D A Loeffler; J R Connor; P L Juneau; B S Snyder; L Kanaley; A J DeMaggio; H Nguyen; C M Brickman; P A LeWitt
Journal:  J Neurochem       Date:  1995-08       Impact factor: 5.372

9.  Phased array detectors and an automated intensity-correction algorithm for high-resolution MR imaging of the human brain.

Authors:  L L Wald; L Carvajal; S E Moyher; S J Nelson; P E Grant; A J Barkovich; D B Vigneron
Journal:  Magn Reson Med       Date:  1995-09       Impact factor: 4.668

10.  Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain.

Authors:  E Mark Haacke; Muhammad Ayaz; Asadullah Khan; Elena S Manova; Bharani Krishnamurthy; Lakshman Gollapalli; Carlo Ciulla; I Kim; Floyd Petersen; Wolff Kirsch
Journal:  J Magn Reson Imaging       Date:  2007-08       Impact factor: 4.813

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  64 in total

1.  The contribution of chemical exchange to MRI frequency shifts in brain tissue.

Authors:  Karin Shmueli; Stephen J Dodd; Tie-Qiang Li; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2011-01       Impact factor: 4.668

2.  Characterizing the contrast of white matter and grey matter in high-resolution phase difference enhanced imaging of human brain at 3.0 T.

Authors:  Li Yang; Shanshan Wang; Bin Yao; Lili Li; Xiaofei Xu; Lingfei Guo; Lianxin Zhao; Xinjuan Zhang; Weibo Chen; Queenie Chan; Guangbin Wang
Journal:  Eur Radiol       Date:  2014-11-14       Impact factor: 5.315

3.  In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: a surface-based analysis.

Authors:  J Cohen-Adad; T Benner; D Greve; R P Kinkel; A Radding; B Fischl; B R Rosen; C Mainero
Journal:  Neuroimage       Date:  2011-04-13       Impact factor: 6.556

4.  Gradient echo plural contrast imaging--signal model and derived contrasts: T2*, T1, phase, SWI, T1f, FST2*and T2*-SWI.

Authors:  Jie Luo; Bharathi D Jagadeesan; Anne H Cross; Dmitriy A Yablonskiy
Journal:  Neuroimage       Date:  2012-01-28       Impact factor: 6.556

5.  QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.

Authors:  Yicheng Chen; Angela Jakary; Sivakami Avadiappan; Christopher P Hess; Janine M Lupo
Journal:  Neuroimage       Date:  2019-11-21       Impact factor: 6.556

6.  Probing signal phase in direct visualization of short transverse relaxation time component (ViSTa).

Authors:  Daeun Kim; Hyo Min Lee; Se-Hong Oh; Jongho Lee
Journal:  Magn Reson Med       Date:  2014-08-22       Impact factor: 4.668

7.  7-Tesla susceptibility-weighted imaging to assess the effects of radiotherapy on normal-appearing brain in patients with glioma.

Authors:  Janine M Lupo; Cynthia F Chuang; Susan M Chang; Igor J Barani; Bert Jimenez; Christopher P Hess; Sarah J Nelson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-10-12       Impact factor: 7.038

8.  Methods for the computation of templates from quantitative magnetic susceptibility maps (QSM): Toward improved atlas- and voxel-based analyses (VBA).

Authors:  Jannis Hanspach; Michael G Dwyer; Niels P Bergsland; Xiang Feng; Jesper Hagemeier; Nicola Bertolino; Paul Polak; Jürgen R Reichenbach; Robert Zivadinov; Ferdinand Schweser
Journal:  J Magn Reson Imaging       Date:  2017-03-06       Impact factor: 4.813

Review 9.  MRI in multiple sclerosis: current status and future prospects.

Authors:  Rohit Bakshi; Alan J Thompson; Maria A Rocca; Daniel Pelletier; Vincent Dousset; Frederik Barkhof; Matilde Inglese; Charles R G Guttmann; Mark A Horsfield; Massimo Filippi
Journal:  Lancet Neurol       Date:  2008-07       Impact factor: 44.182

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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