Literature DB >> 2046518

Three-point Dixon technique for true water/fat decomposition with B0 inhomogeneity correction.

G H Glover1, E Schneider.   

Abstract

An enhancement to Dixon's technique is described which can provide error-free decomposition of water and fat proton images even in the presence of off-resonance conditions which result from susceptibility differences, demagnetization, or shim errors. The method uses three measurements with phase shifts of 0, pi, and -pi between the fat and water resonances. The additional information provided by the third measurement is used to calculate an image of the field inhomogeneity in addition to true water and fat images. The signal-to-noise ratio (SNR) in the decomposed images is equivalent to that of a 2.7 NEX acquisition (instead of 3 NEX), yielding an SNR imaging efficiency of 95%. In addition, the B0 image which is provided may have diagnostic value in its own right. Examples of head and body scans often portray surprisingly large B0 shifts near interfaces between air or bone and soft tissue.

Entities:  

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Year:  1991        PMID: 2046518     DOI: 10.1002/mrm.1910180211

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


  195 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

3.  Use of the modified three-point Dixon technique in obtaining T1-weighted contrast-enhanced fat-saturated images on an open magnet.

Authors:  Rolf W Huegli; Phillip F J Tirman; Harald M Bonel; Harald Staedele; Souhil Zaim; Mikayel Grigorian; Harry K Genant
Journal:  Eur Radiol       Date:  2004-04-21       Impact factor: 5.315

Review 4.  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 5.  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

6.  MODEL-BASED IMAGE RECONSTRUCTION FOR MRI.

Authors:  Jeffrey A Fessler
Journal:  IEEE Signal Process Mag       Date:  2010-07-01       Impact factor: 12.551

7.  A rapid 3D fat-water decomposition method using globally optimal surface estimation (R-GOOSE).

Authors:  Chen Cui; Abhay Shah; Xiaodong Wu; Mathews Jacob
Journal:  Magn Reson Med       Date:  2017-07-20       Impact factor: 4.668

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.  Automated unsupervised multi-parametric classification of adipose tissue depots in skeletal muscle.

Authors:  Alexander Valentinitsch; Dimitrios C Karampinos; Hamza Alizai; Karupppasamy Subburaj; Deepak Kumar; Thomas M Link; Sharmila Majumdar
Journal:  J Magn Reson Imaging       Date:  2012-10-23       Impact factor: 4.813

10.  3D multi-parametric breast MRI segmentation using hierarchical support vector machine with coil sensitivity correction.

Authors:  Yi Wang; Glen Morrell; Marta E Heibrun; Allison Payne; Dennis L Parker
Journal:  Acad Radiol       Date:  2012-10-23       Impact factor: 3.173

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