Multiscale model of liver DCE-MRI towards a better understanding of tumor complexity.

Muriel Mescam 1 Marek Kretowski 2, * Johanne Bezy-Wendling 1, *
* Auteur correspondant
1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 Faculty of Computer Science - University of Białystok
Abstract : The use of quantitative imaging for the characterization of hepatic tumors in magnetic resonance imaging (MRI) can improve the diagnosis and therefore the treatment of these life-threatening tumors. However, image parameters remain difficult to interpret because they result from a mixture of complex processes related to pathophysiology and to acquisition. These processes occur at variable spatial and temporal scales. We propose a multiscale model of liver dynamic contrast-enhanced (DCE) MRI in order to better understand the tumor complexity in images. Our design couples a model of the organ (tissue and vasculature) with a model of the image acquisition. At the macroscopic scale, vascular trees take a prominent place. Regarding the formation of MRI images, we propose a distributed model of parenchymal biodistribution of extracellular contrast agents. Model parameters can be adapted to simulate the tumor development. The sensitivity of the multiscale model of liver DCE-MRI was studied through observations of the influence of two physiological parameters involved in carcinogenesis (arterial flow and capillary permeability) on its outputs (MRI images at arterial and portal phases). Finally, images were simulated for a set of parameters corresponding to the five stages of hepatocarcinogenesis (from regenerative nodules to poorly differentiated HepatoCellular Carcinoma).
Keywords : Computational modeling Liver Blood MRI simulation Magnetic resonance imaging Mathematical model Portals Tumors complex system image analysis liver tumors
Type de document :
Article dans une revue
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2010, 29 (3), pp.699-707. 〈10.1109/TMI.2009.2031435〉
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger
http://www.hal.inserm.fr/inserm-00460902
Contributeur : Lotfi Senhadji <>
Soumis le : jeudi 13 mai 2010 - 09:12:49
Dernière modification le : mercredi 16 mai 2018 - 11:23:08
Document(s) archivé(s) le : jeudi 16 septembre 2010 - 12:49:26

Fichiers

inserm-00460902_edited.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

LTSI | BIOSIT | TDS-MACS | UNIV-RENNES

Citation

Muriel Mescam, Marek Kretowski, Johanne Bezy-Wendling. Multiscale model of liver DCE-MRI towards a better understanding of tumor complexity.. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2010, 29 (3), pp.699-707. 〈10.1109/TMI.2009.2031435〉. 〈inserm-00460902〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

457

Téléchargements de fichiers

328

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD