Literature DB >> 27699843

Quantitative ultrashort TE imaging of the short-T2 components in skeletal muscle using an extended echo-subtraction method.

Ericky C A Araujo1,2, N Azzabou1,2, A Vignaud3, G Guillot4, P G Carlier1,2.   

Abstract

PURPOSE: To introduce an ultrashort echo time (UTE) based method for quantitative mapping of short-T2 signals in skeletal muscle (SKM) in the presence of fat, with the aim of monitoring SKM fibrosis.
METHODS: From a set of at least five UTE images of the same slice, a long- T2* map, a fat-fraction map, and a map of short-T2 -signal fraction are extracted. The method was validated by numerical simulations and in vitro studies on collagen solutions. Finaly, the method was applied to image the short-T2 signals in the leg of eight healthy volunteers.
RESULTS: The imaged short-T2 -signal fractions in the collagen solutions correlated with their respective collagen concentrations ( R=0.999,  P=0.009). Short-T2 tissues such as cortical bone and fasciae were highlighted in the resulting short-T2 fraction maps. A significant fraction of short-T2 signal was systematically observed in the skeletal muscle of all of the subjects (4.5±1.2%).
CONCLUSION: The proposed method allows the quantitative imaging of short-T2 components in tissues containing fat. By also having the fat-fraction and T2* maps as outcomes, long-T2 suppression is accomplished without requiring modifications to the basic UTE sequence. Although the hypersignal observed in the fasciae suggests that the short-T2 signal observed in SKM might arise from interstitial connective tissue, further investigation is necessary to confirm this statement. Magn Reson Med 78:997-1008, 2017.
© 2016 International Society for Magnetic Resonance in Medicine. © 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  long-T2 suppression; quantitative imaging; short-T2 imaging; skeletal muscle fibrosis; ultrashort TE

Mesh:

Substances:

Year:  2016        PMID: 27699843     DOI: 10.1002/mrm.26489

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


  6 in total

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5.  Non-invasive assessment of skeletal muscle fibrosis in mice using nuclear magnetic resonance imaging and ultrasound shear wave elastography.

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Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

6.  Bi-component T1ρ and T2 Relaxation Mapping of Skeletal Muscle In-Vivo.

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