Knowledge Based Segmentation for Fast 3D Dental Reconstruction from CBCT

Author

Pavaloiu, Ionel-Bujorel ; Vasilateanu, Andrei ; Goga, Nicolae ; Marin, Iuliana ; Ioanitescu, Radu ; Dorobantu, Alin-Anghel ; Ilie, Catalin ; Blaga, Marcel ; Ungar, Andrei ; Patrascu, Ion

Author_Institution

Univ. Politeh. of Bucharest, Bucharest, Romania

fYear

2015

fDate

27-29 May 2015

Firstpage

397

Lastpage

401

Abstract

We present in this paper a fast method for the reconstruction of the dental 3D structure using the images obtained from Cone Beam Computed Tomography (CBCT). A high-quality visualization of the dental tissues, including 3D reconstruction, is essential for the accurate diagnosis and treatment in dentistry. The segmentation for the dental CBCT images presents several major problems because of the noisiness of the images. We analyze the existing methods and propose one that uses the information for the dental structure and distribution to reduce the computational load and to provide good results in an automatic procedure.

Keywords

computerised tomography; data visualisation; dentistry; image segmentation; knowledge based systems; medical image processing; patient treatment; 3D dental reconstruction; CBCT; cone beam computed tomography; dentistry; high-quality visualization; knowledge based segmentation; patient diagnosis; patient treatment; Control systems; Decision support systems; Dentistry; Image edge detection; Image segmentation; Teeth; Three-dimensional displays; 3D reconstruction; CBCT; dentistry; image segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Systems and Computer Science (CSCS), 2015 20th International Conference on

Conference_Location

Bucharest

Print_ISBN

978-1-4799-1779-2

Type

conf

DOI

10.1109/CSCS.2015.102

Filename

7168460