The challenge to get MRI metabolic maps in fleshy fruit: tomato example

International audience Besides its classical water-related images, MRI is able to give metabolic information mainly thanks to two approaches. The first one is classical magnetic resonance spectroscopy imaging (MRSI) which leads to one NMR spectrum per image voxel. The second one is chemical exchange...

Full description

Bibliographic Details
Main Authors: Pagés, Guilhem, Deborde, Catherine, Lemaire-Chamley, Martine, Moing, Annick, Bonny, Jean-Marie
Other Authors: Qualité des Produits Animaux (QuaPA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), INRAE, PROBE Research Infrastructure, Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA), BIBS - Plateforme Bioressources : Imagerie, Biochimie & Structure, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INRAE, PROBE Research Infrastructure, Biologie du fruit et pathologie (BFP), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), MetaboHUB-Bordeaux, MetaboHUB, IB2019_GelSeed project of Inrae BAP Division
Format: Conference Object
Language:English
Published: HAL CCSD 2024
Subjects:
Online Access:https://hal.science/hal-04683887
https://hal.science/hal-04683887/document
https://hal.science/hal-04683887/file/2024-Pages-resume%20poster%20MRPM.pdf
id ftinraparis:oai:HAL:hal-04683887v1
record_format openpolar
spelling ftinraparis:oai:HAL:hal-04683887v1 2024-09-15T18:39:16+00:00 The challenge to get MRI metabolic maps in fleshy fruit: tomato example Pagés, Guilhem Deborde, Catherine Lemaire-Chamley, Martine Moing, Annick Bonny, Jean-Marie Qualité des Produits Animaux (QuaPA) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) INRAE, PROBE Research Infrastructure Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA) BIBS - Plateforme Bioressources : Imagerie, Biochimie & Structure Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INRAE, PROBE Research Infrastructure Biologie du fruit et pathologie (BFP) Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) MetaboHUB-Bordeaux MetaboHUB IB2019_GelSeed project of Inrae BAP Division Tromso, Norvège, Norway 2024-08-26 https://hal.science/hal-04683887 https://hal.science/hal-04683887/document https://hal.science/hal-04683887/file/2024-Pages-resume%20poster%20MRPM.pdf en eng HAL CCSD hal-04683887 https://hal.science/hal-04683887 https://hal.science/hal-04683887/document https://hal.science/hal-04683887/file/2024-Pages-resume%20poster%20MRPM.pdf info:eu-repo/semantics/OpenAccess 16th Biennial International Bologna Conference Magnetic Resonance in Porous Media https://hal.science/hal-04683887 16th Biennial International Bologna Conference Magnetic Resonance in Porous Media, Aug 2024, Tromso, Norvège, Norway [SDV]Life Sciences [q-bio] info:eu-repo/semantics/conferenceObject Conference poster 2024 ftinraparis 2024-09-03T14:37:18Z International audience Besides its classical water-related images, MRI is able to give metabolic information mainly thanks to two approaches. The first one is classical magnetic resonance spectroscopy imaging (MRSI) which leads to one NMR spectrum per image voxel. The second one is chemical exchange saturation transfer (CEST) contrast which gives a map weighed by the metabolite exchangeable protons. CEST MRI monitors the water signal intensity in function of the saturation frequency in a so-called z-spectrum. Saturating the signal at the frequency of exchangeable protons partially saturates the water signal leading to its decrease. Each contrast presents its own advantages and drawbacks. However, both methods have the same limitation, which concerns the excellent homogeneity of the magnetic field required over the entire image. Conference Object Tromso Tromso Institut National de la Recherche Agronomique: ProdINRA
institution Open Polar
collection Institut National de la Recherche Agronomique: ProdINRA
op_collection_id ftinraparis
language English
topic [SDV]Life Sciences [q-bio]
spellingShingle [SDV]Life Sciences [q-bio]
Pagés, Guilhem
Deborde, Catherine
Lemaire-Chamley, Martine
Moing, Annick
Bonny, Jean-Marie
The challenge to get MRI metabolic maps in fleshy fruit: tomato example
topic_facet [SDV]Life Sciences [q-bio]
description International audience Besides its classical water-related images, MRI is able to give metabolic information mainly thanks to two approaches. The first one is classical magnetic resonance spectroscopy imaging (MRSI) which leads to one NMR spectrum per image voxel. The second one is chemical exchange saturation transfer (CEST) contrast which gives a map weighed by the metabolite exchangeable protons. CEST MRI monitors the water signal intensity in function of the saturation frequency in a so-called z-spectrum. Saturating the signal at the frequency of exchangeable protons partially saturates the water signal leading to its decrease. Each contrast presents its own advantages and drawbacks. However, both methods have the same limitation, which concerns the excellent homogeneity of the magnetic field required over the entire image.
author2 Qualité des Produits Animaux (QuaPA)
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
INRAE, PROBE Research Infrastructure
Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA)
BIBS - Plateforme Bioressources : Imagerie, Biochimie & Structure
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INRAE, PROBE Research Infrastructure
Biologie du fruit et pathologie (BFP)
Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
MetaboHUB-Bordeaux
MetaboHUB
IB2019_GelSeed project of Inrae BAP Division
format Conference Object
author Pagés, Guilhem
Deborde, Catherine
Lemaire-Chamley, Martine
Moing, Annick
Bonny, Jean-Marie
author_facet Pagés, Guilhem
Deborde, Catherine
Lemaire-Chamley, Martine
Moing, Annick
Bonny, Jean-Marie
author_sort Pagés, Guilhem
title The challenge to get MRI metabolic maps in fleshy fruit: tomato example
title_short The challenge to get MRI metabolic maps in fleshy fruit: tomato example
title_full The challenge to get MRI metabolic maps in fleshy fruit: tomato example
title_fullStr The challenge to get MRI metabolic maps in fleshy fruit: tomato example
title_full_unstemmed The challenge to get MRI metabolic maps in fleshy fruit: tomato example
title_sort challenge to get mri metabolic maps in fleshy fruit: tomato example
publisher HAL CCSD
publishDate 2024
url https://hal.science/hal-04683887
https://hal.science/hal-04683887/document
https://hal.science/hal-04683887/file/2024-Pages-resume%20poster%20MRPM.pdf
op_coverage Tromso, Norvège, Norway
genre Tromso
Tromso
genre_facet Tromso
Tromso
op_source 16th Biennial International Bologna Conference Magnetic Resonance in Porous Media
https://hal.science/hal-04683887
16th Biennial International Bologna Conference Magnetic Resonance in Porous Media, Aug 2024, Tromso, Norvège, Norway
op_relation hal-04683887
https://hal.science/hal-04683887
https://hal.science/hal-04683887/document
https://hal.science/hal-04683887/file/2024-Pages-resume%20poster%20MRPM.pdf
op_rights info:eu-repo/semantics/OpenAccess
_version_ 1810483662376927232