Afficher la notice abrégée

dc.rights.licenseopenen_US
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorGRELARD, Florent
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorTUCK, Michael
dc.contributor.authorCOSENZA, Elise
dc.contributor.authorLEGLAND, David
hal.structure.identifierUniversité de Bordeaux [UB]
dc.contributor.authorDURAND, Marlene
dc.contributor.authorMIRAUX, Sylvain
IDREF: 150967047
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorDESBENOIT, Nicolas
dc.date.accessioned2025-01-20T11:41:18Z
dc.date.available2025-01-20T11:41:18Z
dc.date.issued2024-12-02
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/204409
dc.description.abstractEnMultimodal imaging is a prominent strategy for biomedical research. For instance, Mass Spectrometry Imaging (MSI) can reveal the chemical composition of tissues with high specificity, helping to elucidate their metabolic pathways. However, this technique is not necessarily informative about the structural organization of a tissue. Other modalities, such as Magnetic Resonance Imaging (MRI), reveal functional areas in tissue. Images are analyzed jointly using several computational methods. Registration is a pivotal step that estimates a transformation to spatially align two images. Automatic methods usually rely on similarity metrics. Similarity metrics are used as optimization functions to find the transformation parameters. MALDI–MS and MR images have different intensity distributions that cannot be accounted for by traditional similarity metrics. In this article, we propose a novel similarity metric for deformable registration, based on the update of distance transformation values. We show that our method limits the intensity distortions while providing precisely registered images, on both synthetic and mouse brain images.
dc.description.sponsorshipReactivité Ultrarapide des Biomolecules sous Irradiation - ANR-19-CE29-0011en_US
dc.language.isoENen_US
dc.source.titleMedical Image Understanding and Analysisen_US
dc.subject.enImage registration
dc.subject.enMagnetic Resonance Imaging
dc.subject.enMass spectrometry imaging
dc.subject.enMultimodal imaging
dc.title.enA New Similarity Metric for Deformable Registration of MALDI–MS and MRI Images
dc.typeChapitre d'ouvrageen_US
dc.identifier.doi10.1007/978-3-031-48593-0_13en_US
dc.subject.halChimie/Matériauxen_US
bordeaux.page171-181en_US
bordeaux.volume14122en_US
bordeaux.hal.laboratoriesCBMN : Chimie & de Biologie des Membranes & des Nano-objets - UMR 5248en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.inpressnonen_US
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Medical%20Image%20Understanding%20and%20Analysis&rft.date=2024-12-02&rft.volume=14122&rft.spage=171-181&rft.epage=171-181&rft.au=GRELARD,%20Florent&TUCK,%20Michael&COSENZA,%20Elise&LEGLAND,%20David&DURAND,%20Marlene&rft.genre=unknown


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée