Assessment of lipids in skeletal muscle by LCModel and AMARES
Purpose To process single voxel spectra of the human skeletal muscle by using an advanced method for accurate, robust, and efficient spectral fitting (AMARES) and by linear combination of model spectra (LCModel). To determine absolute concentrations of extra‐ (EMCL) and intramyocellular lipids (IMCL...
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Published in | Journal of magnetic resonance imaging Vol. 30; no. 5; pp. 1124 - 1129 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.11.2009
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Subjects | |
Online Access | Get full text |
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Summary: | Purpose
To process single voxel spectra of the human skeletal muscle by using an advanced method for accurate, robust, and efficient spectral fitting (AMARES) and by linear combination of model spectra (LCModel). To determine absolute concentrations of extra‐ (EMCL) and intramyocellular lipids (IMCL).
Materials and Methods
Single‐voxel proton magnetic resonance spectroscopy (PRESS) was used to obtain the spectra of the calf muscles. Unsuppressed water line was used as a concentration reference. A new prior knowledge for AMARES was proposed to estimate the concentrations of EMCL and IMCL. The prior knowledge was derived from the spectrum of vegetable oil. The results were compared with the values estimated by LCModel. Absolute concentrations of total lipid content in millimoles per kilogram wet weight were used for the comparisons.
Results
Absolute concentrations of total lipid content in skeletal muscle were estimated by AMARES and LCModel. Very good correlation of the total fat (EMCL + IMCL) and IMCL concentrations was achieved between both data processing approaches.
Conclusion
Assessment the absolute concentrations of muscular lipids by AMARES and LCModel can be performed with comparable accuracy. J. Magn. Reson. Imaging 2009. © 2009 Wiley‐Liss, Inc. |
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Bibliography: | Swedish Research Council - No. K2006-71X-06676-24-3 istex:89AB1D84EAF8ECBBA08D71CAD5481C95D3CC37EF ark:/67375/WNG-4XCH15DH-V ArticleID:JMRI21900 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1053-1807 1522-2586 1522-2586 |
DOI: | 10.1002/jmri.21900 |