Evaluation of the potential of automatic segmentation of the mandibular canal using cone-beam computed tomography.

作者: Nicolaas Lucius Gerlach , Gerrit Jacobus Meijer , Dirk-Jan Kroon , Ewald Maria Bronkhorst , Stefaan Jozef Bergé

DOI: 10.1016/J.BJOMS.2014.07.253

关键词:

摘要: We aimed to investigate the effectiveness of software for automatically tracing mandibular canal on data from cone-beam computed tomography (CT). After had been collected one dentate and edentate fresh cadaver head, both a trained Active Shape Model (ASM) an Appearance (AAM) were used segment canals mental foramen. Semiautomatic segmentation was also evaluated by providing models with manual annotations foramina. To find out if tracings in accordance actual anatomy, we compared position automatic segmentations, as displayed cross-sectional CT views, histological sections exactly same region. The significance differences between results analysed help Fisher's exact test Pearson's correlation coefficient. When based AAM ASM used, measurements varied up 3.45 mm 4.44 mm, respectively. Manual marking foramina did not improve results, there no significant (p = 0.097) among methods. accuracy methods is inadequate use clinical practice.

参考文章(22)
Anderson Lc, Mentag Pj, Kosinski Tf, A review of the intraosseous course of the nerves of the mandible. Journal of Oral Implantology. ,vol. 17, pp. 394- 403 ,(1991)
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Max Zinser, Stefan Zachow, None, Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. ,vol. 12, pp. 76- 83 ,(2009) , 10.1007/978-3-642-04271-3_10
Dirk-Jan Kroon, Segmentation of the Mandibular Canal in Cone-Beam CT Data University Library/University of Twente. ,(2011) , 10.3990/1.9789036532808
Sylvia Rueda, José Antonio Gil, Raphaël Pichery, Mariano Alcañiz, Automatic Segmentation of Jaw Tissues in CT Using Active Appearance Models and Semi-automatic Landmarking Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. ,vol. 9, pp. 167- 174 ,(2006) , 10.1007/11866565_21
H. T. Yau, Y. K. Lin, L. S. Tsou, C. Y. Lee, An Adaptive Region Growing Method to Segment Inferior Alveolar Nerve Canal from 3D Medical Images for Dental Implant Surgery Computer-aided Design and Applications. ,vol. 5, pp. 743- 752 ,(2008) , 10.3722/CADAPS.2008.743-752
H. B. M. van der Lubbe, C. P. A. T. Klein, K. de Groot, A Simple Method for Preparing Thin (10 μm) Histological Sections of Undecalcified Plastic Embedded Bone with Implants Biotechnic & Histochemistry. ,vol. 63, pp. 171- 176 ,(1988) , 10.3109/10520298809107179
Niek L. Gerlach, Gert J. Meijer, Thomas J.J. Maal, Jan Mulder, Frits A. Rangel, Wilfred A. Borstlap, Stefaan J. Bergé, Reproducibility of 3 different tracing methods based on cone beam computed tomography in determining the anatomical position of the mandibular canal. Journal of Oral and Maxillofacial Surgery. ,vol. 68, pp. 811- 817 ,(2010) , 10.1016/J.JOMS.2009.09.059
Simon Baker, Iain Matthews, Lucas-Kanade 20 Years On: A Unifying Framework International Journal of Computer Vision. ,vol. 56, pp. 221- 255 ,(2004) , 10.1023/B:VISI.0000011205.11775.FD
Jules Kieser, David Kieser, Tina Hauman, The course and distribution of the inferior alveolar nerve in the edentulous mandible. Journal of Craniofacial Surgery. ,vol. 16, pp. 6- 9 ,(2005) , 10.1097/00001665-200501000-00003