Literature DB >> 28261865

Improved olefinic fat suppression in skeletal muscle DTI using a magnitude-based dixon method.

Jedrzej Burakiewicz1, Melissa T Hooijmans1, Andrew G Webb1, Jan J G M Verschuuren2, Erik H Niks2, Hermien E Kan1.   

Abstract

PURPOSE: To develop a method of suppressing the multi-resonance fat signal in diffusion-weighted imaging of skeletal muscle. This is particularly important when imaging patients with muscular dystrophies, a group of diseases which cause gradual replacement of muscle tissue by fat. THEORY AND METHODS: The signal from the olefinic fat peak at 5.3 ppm can significantly confound diffusion-tensor imaging measurements. Dixon olefinic fat suppression (DOFS), a magnitude-based chemical-shift-based method of suppressing the olefinic peak, is proposed. It is verified in vivo by performing diffusion tensor imaging (DTI)-based quantification in the lower leg of seven healthy volunteers, and compared to two previously described fat-suppression techniques in regions with and without fat contamination.
RESULTS: In the region without fat contamination, DOFS produces similar results to existing techniques, whereas in muscle contaminated by subcutaneous fat signal moved due to the chemical shift artefact, it consistently showed significantly higher (P = 0.018) mean diffusivity (MD). Because fat presence lowers MD, this suggests improved fat suppression.
CONCLUSION: DOFS offers superior fat suppression and enhances quantitative measurements in the muscle in the presence of fat. DOFS is an alternative to spectral olefinic fat suppression. Magn Reson Med 79:152-159, 2018.
© 2017 International Society for Magnetic Resonance in Medicine. © 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  DTI; Dixon; Olefinic fat; muscle; muscular dystrophies

Mesh:

Substances:

Year:  2017        PMID: 28261865     DOI: 10.1002/mrm.26655

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


  11 in total

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4.  Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method.

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6.  Connectivity of the Superficial Muscles of the Human Perineum: A Diffusion Tensor Imaging-Based Global Tractography Study.

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7.  Exploration of New Contrasts, Targets, and MR Imaging and Spectroscopy Techniques for Neuromuscular Disease - A Workshop Report of Working Group 3 of the Biomedicine and Molecular Biosciences COST Action BM1304 MYO-MRI.

Authors:  Gustav J Strijkers; Ericky C A Araujo; Noura Azzabou; David Bendahan; Andrew Blamire; Jedrek Burakiewicz; Pierre G Carlier; Bruce Damon; Xeni Deligianni; Martijn Froeling; Arend Heerschap; Kieren G Hollingsworth; Melissa T Hooijmans; Dimitrios C Karampinos; George Loudos; Guillaume Madelin; Benjamin Marty; Armin M Nagel; Aart J Nederveen; Jules L Nelissen; Francesco Santini; Olivier Scheidegger; Fritz Schick; Christopher Sinclair; Ralph Sinkus; Paulo L de Sousa; Volker Straub; Glenn Walter; Hermien E Kan
Journal:  J Neuromuscul Dis       Date:  2019

8.  Paraspinal Muscle DTI Metrics Predict Muscle Strength.

Authors:  Elisabeth Klupp; Barbara Cervantes; Sarah Schlaeger; Stephanie Inhuber; Florian Kreuzpointer; Ansgar Schwirtz; Alexander Rohrmeier; Michael Dieckmeyer; Dennis M Hedderich; Maximilian N Diefenbach; Friedemann Freitag; Ernst J Rummeny; Claus Zimmer; Jan S Kirschke; Dimitrios C Karampinos; Thomas Baum
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9.  Novel Muscle Imaging in Inflammatory Rheumatic Diseases-A Focus on Ultrasound Shear Wave Elastography and Quantitative MRI.

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10.  Multi-parametric MR in Becker muscular dystrophy patients.

Authors:  Melissa T Hooijmans; Martijn Froeling; Zaida Koeks; Jan J G M Verschuuren; Andrew Webb; Erik H Niks; Hermien E Kan
Journal:  NMR Biomed       Date:  2020-08-05       Impact factor: 4.044

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