| dc.contributor.author | Beguet, Florian | en_US |
| dc.contributor.author | Mari, Jean-Luc | en_US |
| dc.contributor.author | Cresson, Thierry | en_US |
| dc.contributor.author | Schmittbuhl, Matthieu | en_US |
| dc.contributor.author | Guise, Jacques A. de | en_US |
| dc.contributor.editor | Telea, Alex and Theoharis, Theoharis and Veltkamp, Remco | en_US |
| dc.date.accessioned | 2018-04-14T18:28:39Z | |
| dc.date.available | 2018-04-14T18:28:39Z | |
| dc.date.issued | 2018 | |
| dc.identifier.isbn | 978-3-03868-053-6 | |
| dc.identifier.issn | 1997-0471 | |
| dc.identifier.uri | http://dx.doi.org/10.2312/3dor.20181048 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/3dor20181048 | |
| dc.description.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. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Computing methodologies | |
| dc.subject | Complex structure segmentation | |
| dc.subject | Hardware | |
| dc.subject | Cone Beam CT | |
| dc.subject | CGAL | |
| dc.title | Automatic Extraction of Complex 3D Structures Application to the Inner Ear Segmentation from Cone Beam CT Digital Volumes | en_US |
| dc.description.seriesinformation | Eurographics Workshop on 3D Object Retrieval | |
| dc.description.sectionheaders | Papers I | |
| dc.identifier.doi | 10.2312/3dor.20181048 | |
| dc.identifier.pages | 17-20 | |
