Automatic Extraction of Complex 3D Structures Application to the Inner Ear Segmentation from Cone Beam CT Digital Volumes

Beguet, Florian; Mari, Jean-Luc; Cresson, Thierry; Schmittbuhl, Matthieu; Guise, Jacques A. de

Automatic Extraction of Complex 3D Structures Application to the Inner Ear Segmentation from Cone Beam CT Digital Volumes

Files

017-020.pdf (2.25 MB)

Date

2018

Authors

Beguet, Florian
Mari, Jean-Luc
Cresson, Thierry
Schmittbuhl, Matthieu
Guise, Jacques A. de

Publisher

The Eurographics Association

Abstract

We present an automatic approach for the retrieval of a complex structure within a 3D digital volume, using a generic deformable surface model. We apply this approach to the inner ear reconstruction of Cone Beam CT(CBCT) 3D data. The proposed method is based on a single prior shape initialization followed by two steps. A geometric rigid adjustment allows a close fit to inner ear boundaries. Finally, a Laplacian mesh deformation method is used to iteratively refine the mesh. Preliminary results are promising in terms of several similarity metrics.

        @inproceedings{10.2312:3dor.20181048
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {Telea, Alex and Theoharis, Theoharis and Veltkamp, Remco
},
title = {{Automatic Extraction of Complex 3D Structures Application to the Inner Ear Segmentation from Cone Beam CT Digital Volumes
}},
author = {Beguet, Florian and 
Mari, Jean-Luc and 
Cresson, Thierry and 
Schmittbuhl, Matthieu and 
Guise, Jacques A. de
},
year = {2018
},
publisher = {The Eurographics Association
},
ISSN = {1997-0471
},
ISBN = {978-3-03868-053-6
},
DOI = {10.2312/3dor.20181048
}
}