Nous presentons une nouvelle methode de reconnaissance et de maillage d'un domained'inter^et d'une image medicale. Notre approche se base sur une methode de segmentation a partird'un atlas, et depend de la bo^teea outils modulaire pour la co-registration d'images developpee parS. Bertoluzza et al. [25]. Le maillage du domaine specifique au patient est genere par deformation dumaillage correspondant sur une image de reference segmentee a priori (l'atlas). Notre methode vise aautomatiser le processus a l'interface entre l'imagerie medicale et la simulation numerique, avec pourbut de reduire le co^ut de calcul dans les situations dans lesquelles des simulations doivent ^etre faitessur de nombreuses images similaires.

We present a new method for defining and meshing patient-specfic domains from medicalimages. Our approach is based on an atlas image segmentation technique, and relies on the modularregistration algorithm of S. Bertoluzza et al. [25]. The mesh of the patient-specfic domain is generatedby deforming the corresponding mesh on an a priori segmented and meshed reference image (theatlas). Our method aims at automating the process at the interface of medical imaging and numericalsimulation, thus reducing the computational cost in those situations where simulations have to bemanaged on numerous medical images of similar patients.

Geometry description and mesh construction from medical imaging

S Bertoluzza;M Pennacchio;G Patane';M Spagnuolo
2020

Abstract

We present a new method for defining and meshing patient-specfic domains from medicalimages. Our approach is based on an atlas image segmentation technique, and relies on the modularregistration algorithm of S. Bertoluzza et al. [25]. The mesh of the patient-specfic domain is generatedby deforming the corresponding mesh on an a priori segmented and meshed reference image (theatlas). Our method aims at automating the process at the interface of medical imaging and numericalsimulation, thus reducing the computational cost in those situations where simulations have to bemanaged on numerous medical images of similar patients.
2020
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI - Sede Secondaria Genova
Inglese
Vincent Calvez, Céline Grandmont, Eva Lochërbach, Clair Poignard, Magali Ribot and Nicolas Vauchelet
CEMRACS 2018 - Numerical and mathematical modeling for biological and medical applications: deterministic, probabilistic and statistical descriptions
CEMRACS 2018: Numerical and mathematical modeling for biological and medical applications: deterministic, probabilistic and statistical descriptions
67
161
177
17
https://www.esaim-proc.org/articles/proc/abs/2020/01/proc206710/proc206710.html
EDP Sciences
Les Ulis Cedex
FRANCIA
Sì, ma tipo non specificato
16 July - 24 August 2018
Marseille Luminy
Nous presentons une nouvelle methode de reconnaissance et de maillage d'un domained'inter^et d'une image medicale. Notre approche se base sur une methode de segmentation a partird'un atlas, et depend de la bo^teea outils modulaire pour la co-registration d'images developpee parS. Bertoluzza et al. [25]. Le maillage du domaine specifique au patient est genere par deformation dumaillage correspondant sur une image de reference segmentee a priori (l'atlas). Notre methode vise aautomatiser le processus a l'interface entre l'imagerie medicale et la simulation numerique, avec pourbut de reduire le co^ut de calcul dans les situations dans lesquelles des simulations doivent ^etre faitessur de nombreuses images similaires.
N/A
Pubblicato online: 9 giugno 2020
Elettronico
7
open
G Carlino, M; Ricka, P; Phan, M; Bertoluzza, S; Pennacchio, M; Patane', G; Spagnuolo, M
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   New CHallenges for (adaptive) PDE solvers: the interplay of ANalysis and GEometry
   CHANGE
   H2020
   694515
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/364579
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