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

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dc.contributor.authorBeguet, Florianen_US
dc.contributor.authorMari, Jean-Lucen_US
dc.contributor.authorCresson, Thierryen_US
dc.contributor.authorSchmittbuhl, Matthieuen_US
dc.contributor.authorGuise, Jacques A. deen_US
dc.contributor.editorTelea, Alex and Theoharis, Theoharis and Veltkamp, Remcoen_US
dc.date.accessioned2018-04-14T18:28:39Z
dc.date.available2018-04-14T18:28:39Z
dc.date.issued2018
dc.description.abstractWe 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.description.sectionheadersPapers I
dc.description.seriesinformationEurographics Workshop on 3D Object Retrieval
dc.identifier.doi10.2312/3dor.20181048
dc.identifier.isbn978-3-03868-053-6
dc.identifier.issn1997-0471
dc.identifier.pages17-20
dc.identifier.urihttps://doi.org/10.2312/3dor.20181048
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/3dor20181048
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectComplex structure segmentation
dc.subjectHardware
dc.subjectCone Beam CT
dc.subjectCGAL
dc.titleAutomatic Extraction of Complex 3D Structures Application to the Inner Ear Segmentation from Cone Beam CT Digital Volumesen_US
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