Literature DB >> 10508322

A fast model independent method for automatic correction of intensity nonuniformity in MRI data.

E A Vokurka1, N A Thacker, A Jackson.   

Abstract

A novel nonparametric approach for correcting intensity nonuniformity in magnetic resonance (MR) images is described. This approach is based solely on the assumption that the various sources of nonuniformity in MR imaging give rise to smooth variations in image intensity, and that these variations can be extracted and corrected for. The advantage of this computationally fast method is that it can be applied early in quantitative analysis while being independent of pulse sequence and is insensitive to pathological processes. This algorithm has been tested on both simulated and real data. Application to tissue segmentation and functional MR imaging has shown a marked improvement in quantitative analysis. J. Magn. Reson. Imaging 1999;10:550-562. Copyright 1999 Wiley-Liss, Inc.

Mesh:

Year:  1999        PMID: 10508322     DOI: 10.1002/(sici)1522-2586(199910)10:4<550::aid-jmri8>3.0.co;2-q

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


  12 in total

1.  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

2.  Fast algorithm for calculation of inhomogeneity gradient in magnetic resonance imaging data.

Authors:  Cheukkai Hui; Yu Xiang Zhou; Ponnada Narayana
Journal:  J Magn Reson Imaging       Date:  2010-11       Impact factor: 4.813

3.  Partial volume segmentation of brain magnetic resonance images based on maximum a posteriori probability.

Authors:  Xiang Li; Lihong Li; Hongbing Lu; Zhengrong Liang
Journal:  Med Phys       Date:  2005-07       Impact factor: 4.071

4.  Restoration of MRI Data for Field Nonuniformities using High Order Neighborhood Statistics.

Authors:  Stathis Hadjidemetriou; Colin Studholme; Susanne Mueller; Michael Weiner; Norbert Schuff
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2007-03-05

5.  Long-term reproducibility of phantom signal intensities in nonuniformity corrected STIR-MRI examinations of skeletal muscle.

Authors:  Alain R Viddeleer; Paul E Sijens; Peter M A van Ooijen; Paul D L Kuypers; Steven E R Hovius; Matthijs Oudkerk
Journal:  MAGMA       Date:  2009-02-24       Impact factor: 2.310

6.  Restoration of MRI data for intensity non-uniformities using local high order intensity statistics.

Authors:  Stathis Hadjidemetriou; Colin Studholme; Susanne Mueller; Michael Weiner; Norbert Schuff
Journal:  Med Image Anal       Date:  2008-06-07       Impact factor: 8.545

7.  Multiple-profile homogeneous image combination: application to phase-cycled SSFP and multicoil imaging.

Authors:  Tolga Cukur; Michael Lustig; Dwight G Nishimura
Journal:  Magn Reson Med       Date:  2008-09       Impact factor: 4.668

8.  Using Bayesian tissue classification to improve the accuracy of vestibular schwannoma volume and growth measurement.

Authors:  Elizabeth A Vokurka; Amit Herwadkar; Neil A Thacker; Richard T Ramsden; Alan Jackson
Journal:  AJNR Am J Neuroradiol       Date:  2002-03       Impact factor: 3.825

9.  Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity.

Authors:  Farhan Akram; Miguel Angel Garcia; Domenec Puig
Journal:  PLoS One       Date:  2017-04-04       Impact factor: 3.240

10.  Multigrid Nonlocal Gaussian Mixture Model for Segmentation of Brain Tissues in Magnetic Resonance Images.

Authors:  Yunjie Chen; Tianming Zhan; Ji Zhang; Hongyuan Wang
Journal:  Biomed Res Int       Date:  2016-08-25       Impact factor: 3.411

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