naa a22 4500 51080814X CHVBK 20180411083427.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11548-012-0802-6 doi (NATIONALLICENCE)springer-10.1007/s11548-012-0802-6 A method for segmentation of dental implants and crestal bone [Elektronische Daten] [Pedro Cunha, Miguel Guevara, Ana Messias, Salomão Rocha, Rita Reis, Pedro Nicolau] PurposeMedical imaging and in particular digital radiographic images offer a great deal of information to dentists in the clinical diagnosis and treatment processes on a daily basis. This paper presents a new method aimed to produce an accurate segmentation of dental implants and the crestal bone line in radiographic images. With this, it is possible computing several measures to biomechanical and clinical evaluation of dental implants positioning and evolution. MethodsThe proposed segmentation method includes two major steps: (1) the preprocessing that combine denoising filters, morphological operations and histogram threshold techniques and (2) the final segmentation involving made-to-measure adjusted and trained active shape models for detecting the precise location of the intended structures. ResultsResulting measurements were compared to manual measurements made by experts on representative radiographs from patients. The calculated intraclass correlation coefficient was 0.75 and showed good reliability of the method, and the Bland-Altman analysis showed 95% of the values within the limits of agreement. The mean of the differences between the manual and method-driven measurements was 0.049mm ( $$-0.137; -0.040$$ ) 95% CI, inferior to the established limit (0.15mm). ConclusionsIt was demonstrated that the method achieved a precise segmentation of the intended structures. The validation process on standardized periapical radiographs showed good agreement between the manual measurements and the ones produced by the new method. Future work will be focused on making the method more robust to densitometry changes and to validate the method on non-standardized radiographs. CARS, 2012 Segmentation nationallicence Dental implants nationallicence Crestal bone line nationallicence Mathematical morphology nationallicence Deformable models nationallicence Cunha Pedro LOME-Laboratory of Optics and Experimental Mechanics, INEGI-Institute of Mechanical Engineering and Industrial Management, Faculty of Engineering, University of Porto, Porto, Portugal aut Guevara Miguel LOME-Laboratory of Optics and Experimental Mechanics, INEGI-Institute of Mechanical Engineering and Industrial Management, Faculty of Engineering, University of Porto, Porto, Portugal aut Messias Ana Faculty of Medicine, Area of Dentistry, University of Coimbra, Coimbra, Portugal aut Rocha Salomão Faculty of Medicine, Area of Dentistry, University of Coimbra, Coimbra, Portugal aut Reis Rita Faculty of Medicine, Area of Dentistry, University of Coimbra, Coimbra, Portugal aut Nicolau Pedro Faculty of Medicine, Area of Dentistry, University of Coimbra, Coimbra, Portugal aut International Journal of Computer Assisted Radiology and Surgery Springer Berlin Heidelberg 8/5(2013-09-01), 711-721 1861-6410 8:5<711 2013 8 11548 https://doi.org/10.1007/s11548-012-0802-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-012-0802-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cunha Pedro LOME-Laboratory of Optics and Experimental Mechanics, INEGI-Institute of Mechanical Engineering and Industrial Management, Faculty of Engineering, University of Porto, Porto, Portugal aut NATIONALLICENCE 700 1- Guevara Miguel LOME-Laboratory of Optics and Experimental Mechanics, INEGI-Institute of Mechanical Engineering and Industrial Management, Faculty of Engineering, University of Porto, Porto, Portugal aut NATIONALLICENCE 700 1- Messias Ana Faculty of Medicine, Area of Dentistry, University of Coimbra, Coimbra, Portugal aut NATIONALLICENCE 700 1- Rocha Salomão Faculty of Medicine, Area of Dentistry, University of Coimbra, Coimbra, Portugal aut NATIONALLICENCE 700 1- Reis Rita Faculty of Medicine, Area of Dentistry, University of Coimbra, Coimbra, Portugal aut NATIONALLICENCE 700 1- Nicolau Pedro Faculty of Medicine, Area of Dentistry, University of Coimbra, Coimbra, Portugal aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer Berlin Heidelberg 8/5(2013-09-01), 711-721 1861-6410 8:5<711 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer