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Assessment of lipids in skeletal muscle by LCModel and AMARES
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Oncology, Radiology and Clinical Immunology, Radiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Oncology, Radiology and Clinical Immunology, Radiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Oncology, Radiology and Clinical Immunology, Radiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Oncology, Radiology and Clinical Immunology, Radiology.
2009 (English)In: Journal of Magnetic Resonance Imaging, ISSN 1053-1807, E-ISSN 1522-2586, Vol. 30, no 5, 1124-1129 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2009. Vol. 30, no 5, 1124-1129 p.
Keyword [en]
magnetic resonance, magnetic resonance spectroscopy, magnetic resonance imaging
National Category
Clinical Science
Research subject
Medical Radiophysics
Identifiers
URN: urn:nbn:se:uu:diva-109790DOI: 10.1002/jmri.21900ISI: 000271247900028PubMedID: 19780186OAI: oai:DiVA.org:uu-109790DiVA: diva2:300411
Available from: 2010-02-26 Created: 2009-10-26 Last updated: 2012-03-07Bibliographically approved

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Weis, JanJohansson, LarsOrtiz-Nieto, FranciscoAhlström, Håkan

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