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Abstract #5483

Impact of time sample selection and model function design on the quantification of fatty acid composition: in vitro and in vivo studies.

Angeline Nemeth1, Hélène Ratiney1, Benjamin Leporq1, Amandine Coum2,3, Giulio Gambarota2,3, Kevin Seyssel4, Bérénice Segrestin5, Pierre-Jean Valette6, Martine Laville5, and Olivier Beuf1

1Univ. Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69621, Lyon, France, 2INSERM, UMR 1099, Rennes, France, 3Univ Rennes 1, LTSI, Rennes, France, 4Department of Physiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland, 5Centre de Recherche en Nutrition Humaine Rhône-Alpes (CRNH-RA), Centre Hospitalier Lyon Sud, Pierre-Bénite, Lyon, France, 6Hospices Civils de Lyon, Département d'imagerie digestive, CHU Edouard Herriot, Lyon, France

Interest in the follow-up of fatty acid composition(saturated, polyunsaturated and monounsaturated fatty acid) in the body is growing. Quantitative MR spectroscopy can give access to this fat composition. Today, several quantification methods are used (e.g LCModel, AMARES). However the statistical outcome issued from a quantitative analysis of the lipid signal can be greatly influenced by the used quantification method. We analyze 1) the impact of the time sample selection and design of the model function on the parameter identifiability 2) the quantification results obtained with different quantification models on acquisitions performed in vitro (oils) and in vivo (subcutaneous adipose tissue).

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