Beguet, FlorianMari, Jean-LucCresson, ThierrySchmittbuhl, MatthieuGuise, Jacques A. deTelea, Alex and Theoharis, Theoharis and Veltkamp, Remco2018-04-142018-04-142018978-3-03868-053-61997-0471https://doi.org/10.2312/3dor.20181048https://diglib.eg.org:443/handle/10.2312/3dor20181048We 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.Computing methodologiesComplex structure segmentationHardwareCone Beam CTCGALAutomatic Extraction of Complex 3D Structures Application to the Inner Ear Segmentation from Cone Beam CT Digital Volumes10.2312/3dor.2018104817-20