Cranial Base Superimposition of Cone-Beam Computed Tomography Images

2019 ◽  
Vol 30 (6) ◽  
pp. 1809-1814 ◽  
Author(s):  
Orion Luiz Haas Junior ◽  
Raquel Guijarro-Martínez ◽  
Ariane Paredes de Sousa Gil ◽  
Irene Méndez-Manjón ◽  
Adaia Valls-Otañón ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cranial Base ◽  
Cone Beam ◽  
Computed Tomography Images

Using Superimposition of 3-Dimensional Cone-Beam Computed Tomography Images with Surface-Based Registration in Growing Patients

2010 ◽  
Vol 34 (4) ◽  
pp. 361-367 ◽  
Author(s):  
Kiyoshi Tai ◽  
Jae Hyun Park ◽  
Katsuaki Mishima ◽  
Hitoshi Hotokezaka
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Measurement Errors ◽  
Peripheral Zone ◽  
Cranial Base ◽  
Cone Beam ◽  
Data Conversion ◽  
Clinical Value ◽  
Computed Tomography Images ◽  
Software Programs

Objective: The purpose of this research was to evaluate a new method of superimposing detailed cone-beam computed tomography (CBCT) images. Materials and Methods: This study used 5 different software programs to transform the digital imaging and communication in medicine (DICOM) data from CBCT image into polygon data. The data conversion errors from different software programs were verified by the polyacetal ball test and the dry skull test. The iterative closest point (ICP) method was used for precise superimposition. To evaluate changes related to growth, three different domains were superimposed in order to investigate appropriate areas for evaluation by the ICP method. Results: The ICP method in the cranial base(excluding the peripheral zone) was indicated as the most reliable surface in this research. There were no measurement errors in converting the image data between software programs. Conclusion: The ICP method in the cranial base (excluding the peripheral zone) is one of the most accurate methods for superimposition when the mandibular rotation or displacement has not occurred during growth or treatment. This 3-dimesional(3D) superimposition technique can be used for a valid and reproducible assessment of treatment outcomes for growing subjects. This method is considered to be of clinical value because of the manageability and 3D accuracy of the data comparison with multi planar reconstruction (MPR) images.

scholarly journals Differentiation between maxillary and malar midface position within the facial profile

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8200
Author(s):  
Chimène Chalala ◽  
Joseph G. Ghafari
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cranial Base ◽  
Cone Beam ◽  
Facial Profile ◽  
Computed Tomography Images ◽  
Orthodontic Patients ◽  
Connecting Orbit ◽  
B Test ◽  
Craniofacial Characteristics

Aims To define midfacial position differentiating maxillary and zygomatic regions and to evaluate the corresponding cephalometric characteristics discerning midfacial flatness and fullness. Material and Methods A total of 183 pretreatment lateral cephalometric radiographs of non-growing orthodontic patients (age 25.98 ± 8.43 years) screened at our university orthodontic clinic. The lateral cephalographs of the orthodontic patients were stratified in four groups: flat, normal toward flat, normal toward full, full,according to distances from nasion and sella to points J and G (NJ, SJ, NG and SG). J is the midpoint of the distance connecting orbitale to point A, and G the center of the triangle connecting orbit, key ridge and pterygomaxillary fissure. Statistics included the Kendall tau-b test for best associations among measurements. Results All measurements were statistically significantly different between flat and full groups. The highest associations were between NJ and SJ (τb = 0.71; p < 0.001) and NG and SG (τb = 0.70; p < 0.001). Flat midfaces were characterized by canting of the cranial base and palatal plane, hyperdivergent pattern and maxillary retrognathism. The opposite was true for fuller midfaces. Conclusion Midface skeletal location was assessed differentially in the naso-maxillary and malo-zygomatic structures differentially. Craniofacial characteristics were identified according to this stratification, indicating the potential for application in facial diagnosis and need for testing on 3D cone-beam computed tomography images.

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).

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