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