Literature DB >> 9400843

Water-fat imaging with direct phase encoding.

Q S Xiang1, L An.   

Abstract

A new method is introduced for water-fat imaging. With three acquisitions, a general direct phase encoding (DPE) of the chemical shift information is achieved. Pixels containing both water and fat are solved directly. Pixels with only a single component are resolved with local and global orientation filters, which use phase information from neighboring pixels. The fact that a single component is more likely to be water than fat in living tissues is also useful. A second pass solution yields water and fat images with superior signal-to-noise ratio. Unlike other methods, DPE does not rely on the error-prone phase unwrapping; also, it easily handles disconnected tissues. Because the magnetization vectors of water and fat are sampled not only at parallel or antiparallel, they can be not only separated but also identified respectively, which is desirable for routine clinical work. DPE has been implemented on several imagers at various field strengths and has been demonstrated in a large number of clinical cases to be useful and robust in various parts of the body.

Entities:  

Mesh:

Year:  1997        PMID: 9400843     DOI: 10.1002/jmri.1880070612

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


  47 in total

1.  Fast three-point Dixon MR imaging of the retrobulbar space with low-resolution images for phase correction: comparison with fast spin-echo inversion recovery imaging.

Authors:  F J Rybicki; R V Mulkern; R L Robertson; C D Robson; T Chung; J Ma
Journal:  AJNR Am J Neuroradiol       Date:  2001-10       Impact factor: 3.825

2.  Post-processing water-fat imaging technique for fat suppression in a low-field MR imaging system, evaluation in patients with rheumatoid arthritis.

Authors:  Kari Palosaari; Osmo Tervonen
Journal:  MAGMA       Date:  2002-11       Impact factor: 2.310

Review 3.  Quantitative Assessment of Liver Fat with Magnetic Resonance Imaging and Spectroscopy.

Authors:  Scott B Reeder; Irene Cruite; Gavin Hamilton; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2011-09-16       Impact factor: 4.813

Review 4.  Quantification of liver fat with magnetic resonance imaging.

Authors:  Scott B Reeder; Claude B Sirlin
Journal:  Magn Reson Imaging Clin N Am       Date:  2010-08       Impact factor: 2.266

5.  Effect of gadolinium on hepatic fat quantification using multi-echo reconstruction technique with T2* correction and estimation.

Authors:  Mingmei Ge; Jing Zhang; Bing Wu; Zhiqin Liu; Hai Song; Xiangfeng Meng; Xinhuai Wu
Journal:  Eur Radiol       Date:  2015-09-17       Impact factor: 5.315

6.  Volumetric fat-water separated T2-weighted MRI.

Authors:  Shreyas S Vasanawala; Ananth J Madhuranthakam; Ramesh Venkatesan; Arvind Sonik; Peng Lai; Anja C S Brau
Journal:  Pediatr Radiol       Date:  2011-01-18

7.  Noise analysis for 3-point chemical shift-based water-fat separation with spectral modeling of fat.

Authors:  Venkata V Chebrolu; Huanzhou Yu; Angel R Pineda; Charles A McKenzie; Jean H Brittain; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2010-08       Impact factor: 4.813

8.  Improving chemical shift encoded water-fat separation using object-based information of the magnetic field inhomogeneity.

Authors:  Samir D Sharma; Nathan S Artz; Diego Hernando; Debra E Horng; Scott B Reeder
Journal:  Magn Reson Med       Date:  2014-02-28       Impact factor: 4.668

9.  Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling.

Authors:  Huanzhou Yu; Ann Shimakawa; Charles A McKenzie; Ethan Brodsky; Jean H Brittain; Scott B Reeder
Journal:  Magn Reson Med       Date:  2008-11       Impact factor: 4.668

10.  Simultaneous estimation of tongue volume and fat fraction using IDEAL-FSE.

Authors:  Ianessa A Humbert; Scott B Reeder; Eva J Porcaro; Stephanie A Kays; Jean H Brittain; Joanne Robbins
Journal:  J Magn Reson Imaging       Date:  2008-08       Impact factor: 4.813

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