Blood vessel modeling for interactive ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Blood vessel modeling for interactive simulation of interventional neuroradiology procedures
Auteur(s) :
Kerrien, Erwan [Auteur]
Visual Augmentation of Complex Environments [MAGRIT]
Yureidini, Ahmed [Auteur]
Amadeus
Visual Augmentation of Complex Environments [MAGRIT]
Dequidt, Jeremie [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Duriez, Christian [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Anxionnat, René [Auteur]
Visual Augmentation of Complex Environments [MAGRIT]
Département de neuroradiologie diagnostique et thérapeutique [CHRU Nancy]
Cotin, Stéphane [Auteur]
Computational Anatomy and Simulation for Medicine [MIMESIS]
Visual Augmentation of Complex Environments [MAGRIT]
Yureidini, Ahmed [Auteur]
Amadeus
Visual Augmentation of Complex Environments [MAGRIT]
Dequidt, Jeremie [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Duriez, Christian [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Anxionnat, René [Auteur]
Visual Augmentation of Complex Environments [MAGRIT]
Département de neuroradiologie diagnostique et thérapeutique [CHRU Nancy]
Cotin, Stéphane [Auteur]
Computational Anatomy and Simulation for Medicine [MIMESIS]
Titre de la revue :
Medical Image Analysis
Pagination :
685 - 698
Éditeur :
Elsevier
Date de publication :
2017-01
ISSN :
1361-8415
Mot(s)-clé(s) en anglais :
Interactive simulation
Implicit surfaces
Blood vessel tracking
Blood vessel reconstruction
Implicit surfaces
Blood vessel tracking
Blood vessel reconstruction
Discipline(s) HAL :
Informatique [cs]/Imagerie médicale
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Modélisation et simulation
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Modélisation et simulation
Résumé en anglais : [en]
Endovascular interventions can benefit from interactive simulation in their training phase but also during pre-operative and intra-operative phases if simulation scenarios are based on patient data. A key feature in this ...
Lire la suite >Endovascular interventions can benefit from interactive simulation in their training phase but also during pre-operative and intra-operative phases if simulation scenarios are based on patient data. A key feature in this context is the ability to extract, from patient images, models of blood vessels that impede neither the realism nor the performance of simulation. This paper addresses both the segmentation and reconstruction of the vasculature from 3D Rotational Angiography data, and adapted to simulation: An original tracking algorithm is proposed to segment the vessel tree while filtering points extracted at the vessel surface in the vicinity of each point on the centerline; then an automatic procedure is described to reconstruct each local unstructured point set as a skeleton-based implicit surface (blobby model). The output of successively applying both algorithms is a new model of vasculature as a tree of local implicit models. The segmentation algorithm is compared with Multiple Hypothesis Testing (MHT) algorithm (Friman et al, 2010) on patient data, showing its greater ability to track blood vessels. The reconstruction algorithm is evaluated on both synthetic and patient data and demonstrates its ability to fit points with a subvoxel precision. Various tests are also reported where our model is used to simulate catheter navigation in interventional neuroradiology. An excellent realism, and much lower computational costs are reported when compared to triangular mesh surface models.Lire moins >
Lire la suite >Endovascular interventions can benefit from interactive simulation in their training phase but also during pre-operative and intra-operative phases if simulation scenarios are based on patient data. A key feature in this context is the ability to extract, from patient images, models of blood vessels that impede neither the realism nor the performance of simulation. This paper addresses both the segmentation and reconstruction of the vasculature from 3D Rotational Angiography data, and adapted to simulation: An original tracking algorithm is proposed to segment the vessel tree while filtering points extracted at the vessel surface in the vicinity of each point on the centerline; then an automatic procedure is described to reconstruct each local unstructured point set as a skeleton-based implicit surface (blobby model). The output of successively applying both algorithms is a new model of vasculature as a tree of local implicit models. The segmentation algorithm is compared with Multiple Hypothesis Testing (MHT) algorithm (Friman et al, 2010) on patient data, showing its greater ability to track blood vessels. The reconstruction algorithm is evaluated on both synthetic and patient data and demonstrates its ability to fit points with a subvoxel precision. Various tests are also reported where our model is used to simulate catheter navigation in interventional neuroradiology. An excellent realism, and much lower computational costs are reported when compared to triangular mesh surface models.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
Fichiers
- https://hal.inria.fr/hal-01390923/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-01390923/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-01390923/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- medima_20161008.pdf
- Accès libre
- Accéder au document