A Methodology for Validating a New Imaging Modality with Respect to a Gold Standard Imagery: Example of the Use of 3DRA and MRI for AVM Delineation

Marie-Odile Berger 1 René Anxionnat 1 Erwan Kerrien 1
1 ISA - Models, algorithms and geometry for computer graphics and vision
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Various medical treatments require an accurate determination of the shape of a considered anatomic structure. The shape is often recovered from several delineations performed on a two-dimensional gold standard imagery. Using true 3D imagery is attractive to supplement this gold standard. However, before using 3D modalities in clinical routine, it must be proved that these modalities are well suited to the delineation task. We propose in this paper a methodology for validating a new imaging modality with respect to a reference imagery.
Keywords : medical imaging reconstruction brain malformation 3d angiography malformation angiographie 3d imagerie medicale
Type de document :
Communication dans un congrès
Barillot, Chrisian and Haynor, David R. and Hellier, Pierre. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004, 2004, Saint Malo, France, Springer-Verlag, 3216, pp.516-524, 2004, Lecture Notes in Computer Science
Liste complète des métadonnées
https://hal.inria.fr/inria-00099969
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 10:12:59
Dernière modification le : vendredi 30 mars 2018 - 10:02:03

Identifiants

  • HAL Id : inria-00099969, version 1

Collections

INRIA | LORIA | UNIV-LORRAINE

Citation

Marie-Odile Berger, René Anxionnat, Erwan Kerrien. A Methodology for Validating a New Imaging Modality with Respect to a Gold Standard Imagery: Example of the Use of 3DRA and MRI for AVM Delineation. Barillot, Chrisian and Haynor, David R. and Hellier, Pierre. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004, 2004, Saint Malo, France, Springer-Verlag, 3216, pp.516-524, 2004, Lecture Notes in Computer Science. 〈inria-00099969〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

115

Contact


archive-ouverte@inria.fr