scholarly journals Multi-Projection Segmentation on Dental Cone Beam Computed Tomography Images Using Level Set Method

2021 ◽  
Vol 5 (2) ◽  
pp. 130-139
Author(s):  
Fahmi Syuhada ◽  
Rarasmaya Indraswari ◽  
Agus Zainal Arifin ◽  
Dini Adni Navastara
Keyword(s):  
Computed Tomography ◽  
Level Set ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Projection Data ◽  
Segmentation Method ◽  
Computed Tomography Images ◽  
Level Set Segmentation ◽  
Level Method ◽  
Sensitivity Specificity

Segmentation of dental Cone-beam computed tomography (CBCT) images based on Boundary Tracking has been widely used in recent decades. Generally, the process only uses axial projection data of CBCT where the slices image that representing the tip of the tooth object have decreased in contrast which impact to difficult to distinguish with background or other elements. In this paper we propose the multi-projection segmentation method by combining the level set segmentation result on three projections to detect the tooth object more optimally. Multiprojection is performed by decomposing CBCT data which produces three projections called axial, sagittal and coronal projections. Then, the segmentation based on the set level method is implemented on the slices image in the three projections. The results of the three projections are combined to get the final result of this method. This proposed method obtains evaluation results of accuracy, sensitivity, specificity with values of 97.18%, 88.62%, and 97.61%, respectively.

scholarly journals Oral and maxillofacial anatomical structures acknowledgment through cone beam computed tomography images – a teaching practice experience

2019 ◽  
Vol 19 (3) ◽  
pp. 163-171
Author(s):  
Solange Kobayashi-Velasco ◽  
Fernanda Cristina Sales Salineiro ◽  
Ivan Onone Gialain ◽  
Wellington Hideaki Yanaguizawa ◽  
Marcelo Gusmão Paraiso Cavalcanti
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Teaching Practice ◽  
Cone Beam ◽  
Anatomical Structures ◽  
Practice Experience ◽  
Computed Tomography Images

O objetivo deste estudo foi relatar uma metodologia de ensino de tomografia computadorizada de feixe cônico (TCFC) aplicada a estudantes de graduação, avaliando o conhecimento de estruturas anatômicas do complexo dentomaxilofacial. Os estudantes foram orientados quanto às estruturas anatômicas e às aplicações clínicas da TCFC em aulas teóricas e práticas, compreendendo 45 horas de aula. Foram submetidos a duas avaliações, a primeira na metade do semestre, e a segunda no término do semestre. Os escores das avaliações (três variáveis: 1) nome, 2) lado - esquerdo/direito e 3) reconstruções multiplanares (RMP) - imagens ortogonais de identificação) foram comparados para verificar se houve melhora na aprendizagem. Testes de medianas e Wilcoxon compararam os exames intermediário e final. Os valores medianos para a variável 1 foram 6,0 (intermediário) e 8,0 (final). Em relação à variável 2, a mediana variou de 9,0 (intermediário) a 10,0 (final). Quando os resultados da variável 3 foram analisados, ambas as medianas foram 10,0. Houve diferença significativa (teste de Wilcoxon, p<0,05) quando foram comparados os exames intermediário e final, nas três categorias. Correlações lineares foram estabelecidas entre as três categorias e foram estatisticamente significantes para duas associações (“nome da estrutura anatômica” com “lado da estrutura anatômica” e “nome da estrutura anatômica” com “imagens da MPR”). Os estudantes de graduação apresentaram uma melhora em termos do reconhecimento correto das estruturas anatômicas, nome e lado, bem como imagens de MPR quando comparadas as duas avaliações.

scholarly journals Evaluation of the Prevalence of Concha Bullosa in Cone-Beam Computed Tomography Images

2020 ◽  
Vol 12 (3) ◽  
pp. 93-96
Author(s):  
Nasim Shams ◽  
Bahareh Shams ◽  
Zahra Sajadi
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Middle Turbinate ◽  
Cone Beam ◽  
P Value ◽  
Concha Bullosa ◽  
Computed Tomography Images ◽  
Significant Difference ◽  
And Gender ◽  
Sinus Ostium

Background: The ostiomeatal complex (OMC) is not a separate anatomical structure although it is a functional unit of structures, including the middle meatus, uncinate process, infundibulum, maxillary sinus ostium, ethmoidal bulla, anterior ethmoid sinus ostium, and frontal recess. Concha bullosa is the pneumatization of the concha, which is one of the most common anatomical variations in the middle turbinate. Methods: This study was conducted using the cone-beam computed tomography (CBCT) images of 172 patients in the archives of the Department of Oral and Maxillofacial Radiology, Dentistry School, Ahvaz Jundishapur. Patient information including age and gender, presence or absence of concha bullosa, the involved side (left or right), and its type (i.e., extensive, lamellar, and bulbous) were collected in the information form. Finally, the chi-square test (with SPSS, version 22) was used to analyze the data, and P value less than 0.05 was considered statistically significant. Results: Patients with and without concha bullosa were 39.1 and 41.7 years, respectively, but it was no significant difference in terms of age (P = 0.321). Out of 52 patients with concha bullosa, 19 (36.5%) cases were males and 33 (63.5%) of them were females. The prevalence of concha bullosa was higher for the bilateral side (20 patients, 38.5%, P = 0.000). The prevalence of bulbulsand lamellar-shape was nearly the same (32.7% and 30.8%, respectively). Eventually, the extensive shape with 36.5% was more frequent for the shape of concha bullosa (P = 0.000). Conclusions: The prevalence of concha bullosa was high. There was no significant difference in terms of age (P = 0.321) and gender (P = 0.058) of patients with concha bullosa. The extensive type and the bilateral appearance of concha bullosa were more significant (P = 0.000).

scholarly journals Vertical bone measurements from cone beam computed tomography images using different software packages

2015 ◽  
Vol 29 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Taruska Ventorini VASCONCELOS ◽  
Frederico Sampaio NEVES ◽  
Lívia Almeida Bueno MORAES ◽  
Deborah Queiroz FREITAS
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Computed Tomography Images ◽  
Software Packages
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