Literature DB >> 18727051

Fat-water separated delayed hyperenhanced myocardial infarct imaging.

James W Goldfarb1.   

Abstract

Fat deposition associated with myocardial infarction (MI) has been reported as a commonly occurring phenomenon. Magnetic resonance imaging (MRI) has the ability to efficiently detect MI using T(1)-sensitive contrast-enhanced sequences and fat via its resonant frequency shift. In this work, the feasibility of fat-water separation applied to the conventional delayed hyperenhanced (DHE) MI imaging technique is demonstrated. A three-point Dixon acquisition and reconstruction was combined with an inversion recovery gradient-echo pulse sequence. This allowed fat-water separation along with T(1) sensitive imaging after injection of a gadolinium contrast agent. The technique is demonstrated in phantom experiments and three subjects with chronic MI. Areas of infarction were well defined as conventional hyperenhancement in water images. In two cases, fatty deposition was detected in fat images and confirmed by precontrast opposed-phase imaging.

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Year:  2008        PMID: 18727051     DOI: 10.1002/mrm.21685

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


  12 in total

1.  Towards coronary plaque imaging using simultaneous PET-MR: a simulation study.

Authors:  Y Petibon; G El Fakhri; R Nezafat; N Johnson; T Brady; J Ouyang
Journal:  Phys Med Biol       Date:  2014-02-20       Impact factor: 3.609

Review 2.  Cardiac imaging techniques for physicians: late enhancement.

Authors:  Peter Kellman; Andrew E Arai
Journal:  J Magn Reson Imaging       Date:  2012-09       Impact factor: 4.813

3.  Myocardial Fat Imaging.

Authors:  Peter Kellman; Diego Hernando; Andrew E Arai
Journal:  Curr Cardiovasc Imaging Rep       Date:  2010-03-11

4.  Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm.

Authors:  Diego Hernando; P Kellman; J P Haldar; Z-P Liang
Journal:  Magn Reson Med       Date:  2010-01       Impact factor: 4.668

5.  Improved fat water separation with water selective inversion pulse for inversion recovery imaging in cardiac MRI.

Authors:  Lukas Havla; Tamer Basha; Hussein Rayatzadeh; Jaime L Shaw; Warren J Manning; Scott B Reeder; Sebastian Kozerke; Reza Nezafat
Journal:  J Magn Reson Imaging       Date:  2012-08-23       Impact factor: 4.813

6.  Left atrial late gadolinium enhancement with water-fat separation: the importance of phase-encoding order.

Authors:  Jaime L Shaw; Benjamin R Knowles; James W Goldfarb; Warren J Manning; Dana C Peters
Journal:  J Magn Reson Imaging       Date:  2013-09-16       Impact factor: 4.813

7.  Whole-heart chemical shift encoded water-fat MRI.

Authors:  Valentina Taviani; Diego Hernando; Christopher J Francois; Ann Shimakawa; Karl K Vigen; Scott K Nagle; Mark L Schiebler; Thomas M Grist; Scott B Reeder
Journal:  Magn Reson Med       Date:  2013-11-01       Impact factor: 4.668

8.  3D whole-heart grey-blood late gadolinium enhancement cardiovascular magnetic resonance imaging.

Authors:  Claudia Prieto; René M Botnar; Giorgia Milotta; Camila Munoz; Karl P Kunze; Radhouene Neji; Stefano Figliozzi; Amedeo Chiribiri; Reza Hajhosseiny; Pier Giorgio Masci
Journal:  J Cardiovasc Magn Reson       Date:  2021-05-24       Impact factor: 5.364

9.  3D Dixon water-fat LGE imaging with image navigator and compressed sensing in cardiac MRI.

Authors:  Martin Georg Zeilinger; Marco Wiesmüller; Christoph Forman; Michaela Schmidt; Camila Munoz; Davide Piccini; Karl-Philipp Kunze; Radhouene Neji; René Michael Botnar; Claudia Prieto; Michael Uder; Matthias May; Wolfgang Wuest
Journal:  Eur Radiol       Date:  2020-12-02       Impact factor: 5.315

10.  Characterization of myocardial T1-mapping bias caused by intramyocardial fat in inversion recovery and saturation recovery techniques.

Authors:  Peter Kellman; W Patricia Bandettini; Christine Mancini; Sophia Hammer-Hansen; Michael S Hansen; Andrew E Arai
Journal:  J Cardiovasc Magn Reson       Date:  2015-05-10       Impact factor: 5.364

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