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Magnetic resonance imaging as a tool to quantify the adiposity distribution in fish

Abstract : From a nutritional point of view, particularly and also due to its sensory and technical properties such as dressing yield, fat content and distribution are both important quality criteria of fish flesh. In this work, a MRI sequence has been optimised and image correction method has been developed to obtain accurate mapping of fat distribution in fish flesh. Because fish lipids are highly unsaturated, high contrast between muscle fibres and adipocytes is obtained by using strong T1-weighted images. So grey level restitution of fat content is affected not only by permanent field and RF reception inhomogeneities but also by RF transmission inhomogeneity which significantly affects T1-weighing. The location of adipocytes in thin myoseta between thin muscle layers variously orientated leads to images with strong partial volume effect related to voxel size. The following corrections were used to traduce grey levels in accurate fat content: -normalisation by dividing each raw image by corresponding oil phantom image obtained by a proton density weighted sequence (Spin Echo, TE/TR= 15ms/2500ms) -correction of T1-weighing effect by using B1 mapping of oil phantom -transformation of volume fat percentage in fat content by taking into account weigh density of fat and muscle. The accuracy of the MRI method was estimated by comparing fat content determination on flesh biopsies with a chemical method based on solvent extraction and the fat values of corresponding region of interest from corrected MRI images.
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https://hal.inrae.fr/hal-02582636
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Submitted on : Thursday, May 14, 2020 - 9:49:01 PM
Last modification on : Monday, November 15, 2021 - 2:48:01 PM

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  • HAL Id : hal-02582636, version 1
  • IRSTEA : PUB00013088

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G. Collewet, C.A. Toussaint, A. Davenel, Serge Akoka, Françoise Médale, et al.. Magnetic resonance imaging as a tool to quantify the adiposity distribution in fish. Royal Society of Chemistry. Magnetic Resonance in Food Science: a view to the future, 272 p., 2001, 978-0854048700. ⟨hal-02582636⟩

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