details
Dental
Surgery Planning for Dental Implantology
Description
For pre-operative planning of interventions in dental implantology as well as maxillofacial surgery an accurate geometric reconstruction of the relevant anatomical structures is indispensable. An implant that is placed into the mandibular bone must not damage risk structures like the alveolar nerves or dental roots. Furthermore, a stable placement of the implant inside the bone must be achieved. Planning is performed based on medical images, such as CT or cone-beam CT. The aim is to segment the structures in an automatic fashion from the image data, which is impeded by low contrast or metal artefacts. We have developed a hierarchical approach based on statistical shape models and machine learning techniques in order to segment bone and nerve as well to determine the configuration of teeth. In particular, our bone segmentation has reached an accuracy suitable for clinical use. Further information is available in the detailed project description.
Members
Responsible
Partners
University Hospital of Cologne, Department of Cranio-, Maxillofacial and Oral Surgery (Joachim Zöller, Max Zinser)
Medizinische Fakultät Charité - Universitätsmedizin Berlin, Campus Benjamin Franklin (CBF), Klinik und Poliklinik für Zahn-, Mund- und Kieferheilkunde (ehem. Michael Stiller, Bodo Hoffmeister)
Karolinska Hospital Stockholm/Sweden, Department of Maxillofacial Surgery (Anders Westermark)
Publications
- T.D. Nguyen, H. Lamecker, D. Kainmueller, S. Zachow. Automatic Detection and Classification of Teeth in CT Data. Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2012.
- T.D. Nguyen, D. Kainmueller, H. Lamecker, S. Zachow. Automatic bone and tooth detection for CT-based dental implant planning. Int. J. Computer Assisted Radiology and Surgery, 7(1):293-294, 2012.
- Hans Lamecker, Dagmar Kainmueller, Heiko Seim, Stefan Zachow. Automatische 3D Rekonstruktion des Unterkiefers und der Mandibulärnerven auf Basis dentaler Bildgebung. Tagungsband BMT 2010, p. 35–36, Rostock, 2010.
- Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Stefan Zachow. Multi-object segmentation of head bones. MIDAS Journal, 2009.
- Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Max Zinser, Stefan Zachow. Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data. Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), p. 76–83, London, UK, 2009.
- Stefan Zachow, Hans Lamecker, Barbara Elsholtz, Michael Stiller. Is the course of the mandibular nerve deducible from the shape of the mandible?. Int. J. Computer Assisted Radiology and Surgery, 1(1):415-417, 2006.
- Hans Lamecker, Stefan Zachow, Antonia Wittmers, Britta Weber, Hans-Christian Hege, Barbara Elsholtz, Michael Stiller. Automatic segmentation of mandibles in low-dose CT-data. Int. J. Computer Assisted Radiology and Surgery, 1(1):393-395, 2006.
- H. Lamecker, S. Zachow, H. Haberl, M. Stiller. Medical Applications for Statistical Shape Models.. Computer Aided Surgery around the Head, volume 17 of Fortschritt-Berichte - Biotechnik/Medizintechnik, p. 61, 2005.
- S. Zachow, H. Lamecker, B. Elsholtz, M. Stiller. Reconstruction of mandibular dysplasia using a statistical 3D shape model. Computer Assisted Radiology and Surgery, p. 1238–1243, Chicago, 2005.
- A. Westermark, S. Zachow, B. Eppley. 3-D osteotomy planning in maxillofacial surgery, including soft tissue prediction.. Journal of Craniofacial Surgery, 16(1):100–104, 2005.