Literature DB >> 8084227

Sources of intensity nonuniformity in spin echo images at 1.5 T.

A Simmons1, P S Tofts, G J Barker, S R Arridge.   

Abstract

This manuscript describes a number of sources of nonuniformity for spin echo images at 1.5 T. Both coil tuning and crosstalk can have significant effects on image nonuniformity. For short repetition times, nonuniformity increases with decreasing TR, possibly due to gradient eddy currents. In sections of RF coils with poor RF uniformity, image nonuniformity varies with both echo time and the number of echoes in a multiecho sequence. For the particular imager used, there are small differences between transverse and sagittal/coronal nonuniformity. The temporal stability of image nonuniformity is very good. The use of uniform oil phantoms is shown to be superior to low pass filtered images for correction of image nonuniformity.

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Year:  1994        PMID: 8084227     DOI: 10.1002/mrm.1910320117

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  34 in total

1.  Rapid and effective correction of RF inhomogeneity for high field magnetic resonance imaging.

Authors:  M S Cohen; R M DuBois; M M Zeineh
Journal:  Hum Brain Mapp       Date:  2000-08       Impact factor: 5.038

2.  Method for bias field correction of brain T1-weighted magnetic resonance images minimizing segmentation error.

Authors:  Juan D Gispert; Santiago Reig; Javier Pascau; Juan J Vaquero; Pedro García-Barreno; Manuel Desco
Journal:  Hum Brain Mapp       Date:  2004-06       Impact factor: 5.038

3.  Effects of inversion and saturation times on relationships between contrast agent concentrations and signal intensities of T1-weighted magnetic resonance images.

Authors:  Mahmood Nazarpoor
Journal:  Radiol Phys Technol       Date:  2010-02-27

4.  Evaluation of flow measurement from the first pass bolus T1 weighted images using inversion recovery sequence.

Authors:  M Nazarpoor
Journal:  Br J Radiol       Date:  2010-10-19       Impact factor: 3.039

5.  Influence of signal intensity non-uniformity on brain volumetry using an atlas-based method.

Authors:  Masami Goto; Osamu Abe; Tosiaki Miyati; Hiroyuki Kabasawa; Hidemasa Takao; Naoto Hayashi; Tomomi Kurosu; Takeshi Iwatsubo; Fumio Yamashita; Hiroshi Matsuda; Harushi Mori; Akira Kunimatsu; Shigeki Aoki; Kenji Ino; Keiichi Yano; Kuni Ohtomo
Journal:  Korean J Radiol       Date:  2012-06-18       Impact factor: 3.500

Review 6.  Principles and methods for automatic and semi-automatic tissue segmentation in MRI data.

Authors:  Lei Wang; Teodora Chitiboi; Hans Meine; Matthias Günther; Horst K Hahn
Journal:  MAGMA       Date:  2016-01-11       Impact factor: 2.310

7.  Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative.

Authors:  Beth G Ashinsky; Mustapha Bouhrara; Christopher E Coletta; Benoit Lehallier; Kenneth L Urish; Ping-Chang Lin; Ilya G Goldberg; Richard G Spencer
Journal:  J Orthop Res       Date:  2017-03-23       Impact factor: 3.494

8.  A simple method for mapping the B1 field distribution of linear RF coils.

Authors:  Jan Weis; Peter Andris; Ivan Frollo; Håkan Ahlström
Journal:  MAGMA       Date:  2005-12-13       Impact factor: 2.310

9.  Hybrid adiabatic-rectangular pulse train for effective saturation of magnetization within the whole heart at 3 T.

Authors:  Daniel Kim; Niels Oesingmann; Kellyanne McGorty
Journal:  Magn Reson Med       Date:  2009-12       Impact factor: 4.668

10.  A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T).

Authors:  Shiva Keihaninejad; Rolf A Heckemann; Gianlorenzo Fagiolo; Mark R Symms; Joseph V Hajnal; Alexander Hammers
Journal:  Neuroimage       Date:  2010-01-28       Impact factor: 6.556

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