Relevant bibliographies by topics / Cephalometric Analysis

Academic literature on the topic 'Cephalometric Analysis'

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Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Cephalometric Analysis"

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Ningrum, Ika Purwanti, Agus Harjoko, and Munakhir Mudjosemedi. "Robust Cephalometric Landmark Identification on Cephalometric Downs Analysis." International Journal of Computer and Electrical Engineering 6, no. 2 (2014): 172–75. http://dx.doi.org/10.7763/ijcee.2014.v6.816.

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Kuramae, Mayury, Maria Beatriz Borges de Araújo Magnani, Eloísa Marcantonio Boeck, and Adriana Simoni Lucato. "Jarabak 's cephalometric analysis of Brazilian black patients." Brazilian Dental Journal 18, no. 3 (2007): 258–62. http://dx.doi.org/10.1590/s0103-64402007000300016.

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The treatment of skeletal disharmonies presents better results when performed during the growth period. The physical changes that occur in every individual express growth, which is ruled by genetic, general and environmental factors. In order to identify such disharmonies and hence concentrate the clinical actions during treatment and influence facial growth, cephalometrics appears as a useful a diagnostic tool for identifying facial growth patterns or growth direction. Jarabak's cephalometric analysis is used to assess facial growth pattern of subjects with normal occlusion or malocclusions. The purpose of this study was to obtain mean values for cephalometric measurements from Jarabak's cephalometric analyses of black Brazilian subjects resident in the city of Piracicaba, São Paulo state, Brazil and vicinities, who presented Class I molar relationship with normal overjet and overbite, mild or no tooth crowding or spacing, and no history of orthodontic treatment. A sample of 37 stone plaster casts and 37 lateral teleradiographs from both male and female individuals aged 10 to 14 years was evaluated. Data were analyzed statistically by Student's t-test at 5% significance level. There was no significant differences between genders. The cephalometric measurements obtained in this study were similar to the Jarabak's standards, except for S-N mean value in females (66.50 mm ± 3.16), which was significantly lower than the standard.
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Karad, Ashok, and Shruti Chhajed. "Cephalometric analysis for functional occlusion." APOS Trends in Orthodontics 6 (November 25, 2016): 287–94. http://dx.doi.org/10.4103/2321-1407.194793.

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Background Various elements contributing to good functional occlusion have not been clearly assessed with cephalometrics for the diagnosis of functional problems and their application in clinical practice. The aim of this study, therefore, was to analyze different components of functional occlusion to formulate concise functional cephalometric analysis. Materials and Methods Eighty-two cases (38 males and 44 females), with class I occlusion and balanced facial profile, were examined based on the selection criteria, and cephalograms were taken in natural head position. All the radiographs were then analyzed using various functional parameters. Results The mean values of condylar path angle and incisal path angle were 55.83° and 65.67°, respectively, with large deviations. However, both showed positive correlation. The value of the angle of long axis of mandibular incisor with respect to the line joining center of condyle and lower incisor tip was 88.04°. Moreover, the angle between the occlusal plane and horizontal plane was 12.88°. In vertical plane, lower face height (LFH) was found to be slightly less than the upper face height. Maxilla contributed around 45% of the LFH while mandible formed about 60%. Furthermore, upper alveolar component (maxillary alveolar height) formed more than half of the maxilla (53.79%) whereas lower alveolar component (mandibular alveolar height) was 74.8% of the mandible. Conclusion This study has analyzed various components of functional occlusion and formulated a concise functional cephalometric analysis for diagnosis, treatment planning, and assessment of treatment results.
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Leonardi, Rosalia, Daniela Giordano, Francesco Maiorana, and Concetto Spampinato. "Automatic Cephalometric Analysis." Angle Orthodontist 78, no. 1 (January 1, 2008): 145–51. http://dx.doi.org/10.2319/120506-491.1.

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Abstract Objective: To describe the techniques used for automatic landmarking of cephalograms, highlighting the strengths and weaknesses of each one and reviewing the percentage of success in locating each cephalometric point. Materials and Methods: The literature survey was performed by searching the Medline, the Institute of Electrical and Electronics Engineers, and the ISI Web of Science Citation Index databases. The survey covered the period from January 1966 to August 2006. Abstracts that appeared to fulfill the initial selection criteria were selected by consensus. The original articles were then retrieved. Their references were also hand-searched for possible missing articles. The search strategy resulted in 118 articles of which eight met the inclusion criteria. Many articles were rejected for different reasons; among these, the most frequent was that results of accuracy for automatic landmark recognition were presented as a percentage of success. Results: A marked difference in results was found between the included studies consisting of heterogeneity in the performance of techniques to detect the same landmark. All in all, hybrid approaches detected cephalometric points with a higher accuracy in contrast to the results for the same points obtained by the model-based, image filtering plus knowledge-based landmark search and “soft-computing” approaches. Conclusions: The systems described in the literature are not accurate enough to allow their use for clinical purposes. Errors in landmark detection were greater than those expected with manual tracing and, therefore, the scientific evidence supporting the use of automatic landmarking is low.
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Yuen, H. M., H. L. Chan, C. T. Au, K. C. Chan, L. M. Lui, and A. M. Li. "0882 Local Deformation Analysis of Lateral Cephalogram for Childhood OSA Classification." Sleep 43, Supplement_1 (April 2020): A336. http://dx.doi.org/10.1093/sleep/zsaa056.878.

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Abstract Introduction Craniofacial profile is one of the anatomical causes of obstructive sleep apnea (OSA). Cephalometry provides information on patients’ skeletal structures and soft tissues. Traditional cephalometric analysis focuses on linear distances, angles, ratios and area of specific variables. Its classification power is often disappointed. In this study, a novel approach to cephalometric analysis using local deformation information was carried out to assess its efficacy in OSA classification. Methods This study was a retrospective analysis based on 60 case-control pairs who were Chinese children recruited for sleep studies in the Prince of Wales Hospital, with accessible lateral cephalometry and polysomnography (PSG) data. Local deformation technique was adopted to derive 1215 deformations from 15 manual landmarking on each cephalogram. In addition, three linear distances (hyoid bone to mandibular plane, hyoid bone to posterior pharyngeal wall, and minimal distance between tongue base and posterior pharyngeal wall) were measured from each cephalogram. A total of 1218 information features were obtained per subject. Classification models were built with an equal ratio between OSA and non-OSA groups (defined by OAHI≥1 and OAHI<1 respectively). Forty pairs were used as training data and twenty pairs were used as testing data. Results Three model settings which used all 1218 cephalometric features, 800 features, and 500 features were tested. The accuracy for the three settings were 67.5% (sensitivity: 70%, specificity: 65%), 87.5% (sensitivity: 90%, specificity: 85%), and 92.5% (sensitivity: 95%, specificity: 90%) respectively. Apart from the three distances, the 500 topmost discriminative features were predominantly landmarks around the nasal cavity. Conclusion A new approach to cephalometric analysis using local deformation information can provide additional details on each cephalogram, hence, achieving better classification. The classification models using 500 features yielded the highest accuracy among the three settings. This setting could benefit most from the comprehensive comparison while avoiding overfitting. Support -
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Pradhan, Resina, Anjana Rajbhandari, Pushkar Manandhar, and Surendra Maharjan. "McNamara Cephalometric Analysis oF Newars of Kathmandu." Orthodontic Journal of Nepal 8, no. 1 (October 13, 2018): 14–17. http://dx.doi.org/10.3126/ojn.v8i1.21339.

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Introduction: Standardized cephalogram is used for the orthodontic diagnosis and treatment planning and the measured values of the craniofacial structures are compared with the peer group having similar age, gender and ethnicity. However, this standardized comparison has not been possible so far for Newar ethnic group.Objective: To determine cephalometric norms of Newar adults of Kathmandu using McNamara analysis and to assess gender difference within the group. Materials & Method: Newar Indo-Aryan descendents aged 18-27 years were screened based on inclusion criteria. Lateral cephalometric radiographs of 62 untreated Newar adults (20 males and 42 females) were used. Manual tracing of the lateral cephalograms were performed and descriptive statistics were obtained. Comparative test was conducted within Newars to evaluate gender diversity at the significance level p≤0.05. Result: Craniofacial structures of male and female Newars were significantly different. Parameters showing these differences were Effective Mid Face Length, Effective Mandibular Length, Lower Anterior Facial Height.Conclusion: Standardized comparison with the peer group separately for male and female should be done when analysing cephalometry for any ethnic group.
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Zielak, João César, David Gulin Neto, Leonardo Fernandes da Cunha, Tatiana Miranda Deliberador, and Allan Fernando Giovanini. "Cephalometric Approach to the Occlusal Vertical Dimension Reestablishment." Case Reports in Dentistry 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/920840.

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The occlusal vertical dimension (OVD) refers to the length of the face as determined by the amount of separation of the jaws. Its determination is important for the manufacture of restorations. However, defining the correct occlusal vertical dimension for edentulous patients is one of the most important steps for function and esthetics rehabilitation. Cephalometry is a standardized method of assessing dental and facial proportions and their interrelation. Additionally, cephalometric analysis of the facial vertical dimension can establish an individual pattern for each patient. This analysis should become a permanent part of each patient’s record. Hence, this study presented a case report with the use of cephalometry as an auxiliary tool in the rehabilitation of OVD. Clinical relevance showed that cephalometric analysis can be an accurate and convenient instrument to treatment planning and prognostic of oral rehabilitation. The reader should understand the clinical implications of using cephalometry as a tool in the rehabilitation of OVD.
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Batra, Ritu, Sanjay Kalra, Ajay Bansal, Siddharth Nerula, and Rajat Dang. "Estimation of Vertical Dimension of Occlusion in Edentuleous Patients Using Cephalometric Analysis." Dental Journal of Advance Studies 05, no. 01 (April 2017): 030–38. http://dx.doi.org/10.1055/s-0038-1672078.

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Abstract“The best of friends fall out with time and so do teeth.”Thus, there is a need to replace the lost teeth and the supporting structures for the patient's social demands and functional rehabilitation. Prosthetic treatment with complete dentures is a very common treatment modality; the biggest challenge in its fabrication is to duplicate the normal vertical dimension. Failure can be avoided by completing the treatment without changing the vertical dimension and obtaining an optimal facial proportion. There are many methods to record VD. Radiographic cephalometry has been used as a diagnostic tool in Prosthodontics for over five decades and numerous authors, like Ricketts (1981), McNamara (1984) and Slavicek (1984) developed and computerized these techniques to co-relate and record VD in patients. However cephalometric analysis can help to visualize skeletal and facial proportion relation. The present study was done to use the lateral radiographs with cephalometric analysis, as it could be a simple, non-technique sensitive, non-invasive and atraumatic way to determine VD for complete denture patients and also to compare physiologic methods (swallowing/phonetics) with cephalometric method to record lower facial height.
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Grayson, Barry H., Frank A. LaBatto, Allan B. Kolber, and Joseph G. McCarthy. "Basilar multiplane cephalometric analysis." American Journal of Orthodontics 88, no. 6 (December 1985): 503–16. http://dx.doi.org/10.1016/s0002-9416(85)80047-6.

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Halazonetis, Demetrios J. "Computer-assisted cephalometric analysis." American Journal of Orthodontics and Dentofacial Orthopedics 105, no. 5 (May 1994): 517–21. http://dx.doi.org/10.1016/s0889-5406(06)80049-1.

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Dissertations / Theses on the topic "Cephalometric Analysis"

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Wu, Yung-chuan John. "Chinese norms of McNamara's cephalometric analysis /." View the Table of Contents & Abstract, 2005. http://sunzi.lib.hku.hk/hkuto/record/B34608503.

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Wu, Yung-chuan John, and 吳永傳. "Chinese norms of McNamara's cephalometric analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B45012295.

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Ngema, Maureen Nkosazana. "A Cephalometric Comparison of Class II Extraction Cases Treated with Tip-Edge and Edgewise Techniques." University of the Western Cape, 2012. http://hdl.handle.net/11394/4605.

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Magister Scientiae Dentium - MSc(Dent)
The Tip-Edge and edgewise techniques are the main techniques that are mostly used in orthodontics, and are applicable to the treatment of any type of malocclusion from the most simple to the most complex. The edgewise bracket wire combination produces bodily tooth movement simultaneously or separately in all three planes of space and hence permits correction of the most extreme tooth malpositions. On the other hand Tip-Edge offers a differential tooth movement (just like the previously used Begg technique) within an edgewise based bracket system (Parkhouse 2003). When treating patients using the Tip-Edge technique, it is recommended that a specialized archwire i.e. Australian stainless steel wire be used. This wire can be described as a round austenitic stainless steel wire that is heat-treated and cold-drawn to its proper diameter. This was done in order to produce its special and needed properties such as toughness, resiliency and tensile strength (Kesling, 1985). It is used in conjunction with light (2oz) class II elastics. The aim of this study was to compare cephalometric changes in skeletal and dento-alveolar parameters in cases treated by these two different orthodontic techniques. This was to be established by calculating and comparing the pre- and post-treatment cephalometric variables of cases treated with these techniques by looking at the skeletal and dento-alveolar measurements. Thirty Tip-Edge and thirty edgewise treated cases that had class II malocclusion, had extraction of four premolars and were treated with Class II elastics were selected. The gender distribution between the Tip-Edge and the edgewise techniques were 47% and 60% respectively for females. For males it was 53% in Tip-Edge and 40% in the edgewise techniques.
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Innes, Andrew, and andrew innes@defence gov au. "Genetic Programming for Cephalometric Landmark Detection." RMIT University. Aerospace, Mechanical and Manufacturing Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080221.123310.

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The domain of medical imaging analysis has burgeoned in recent years due to the availability and affordability of digital radiographic imaging equipment and associated algorithms and, as such, there has been significant activity in the automation of the medical diagnostic process. One such process, cephalometric analysis, is manually intensive and it can take an experienced orthodontist thirty minutes to analyse one radiology image. This thesis describes an approach, based on genetic programming, neural networks and machine learning, to automate this process. A cephalometric analysis involves locating a number of points in an X-ray and determining the linear and angular relationships between them. If the points can be located accurately enough, the rest of the analysis is straightforward. The investigative steps undertaken were as follows: Firstly, a previously published method, which was claimed to be domain independent, was implemented and tested on a selection of landmarks, ranging from easy to very difficult. These included the menton, upper lip, incisal upper incisor, nose tip and sella landmarks. The method used pixel values, and pixel statistics (mean and standard deviation) of pre-determined regions as inputs to a genetic programming detector. This approach proved unsatisfactory and the second part of the investigation focused on alternative handcrafted features sets and fitness measures. This proved to be much more successful and the third part of the investigation involved using pulse coupled neural networks to replace the handcrafted features with learned ones. The fourth and final stage involved an analysis of the evolved programs to determine whether reasonable algorithms had been evolved and not just random artefacts learnt from the training images. A significant finding from the investigative steps was that the new domain independent approach, using pulse coupled neural networks and genetic programming to evolve programs, was as good as or even better than one using the handcrafted features. The advantage of this finding is that little domain knowledge is required, thus obviating the requirement to manually generate handcrafted features. The investigation revealed that some of the easy landmarks could be found with 100\% accuracy while the accuracy of finding the most difficult ones was around 78\%. An extensive analysis of evolved programs revealed underlying regularities that were captured during the evolutionary process. Even though the evolutionary process took different routes and a diverse range of programs was evolved, many of the programs with an acceptable detection rate implemented algorithms with similar characteristics. The major outcome of this work is that the method described in this thesis could be used as the basis of an automated system. The orthodontist would be required to manually correct a few errors before completing the analysis.
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Adams, Colleen Ann. "The twin block appliance, a cephalometric analysis of vertical control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0005/MQ59769.pdf.

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Khor, Beow Seng. "A cephalometric soft tissue analysis of the Chinese facial profile /." Title page, contents and summary only, 1986. http://web4.library.adelaide.edu.au/theses/09DM/09dmk45.pdf.

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Neto, Mustaphá Amad. ""Estudo da padronização para a determinação de pontos cefalométricos utilizados na cefalometria radiológica"." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/23/23139/tde-14122004-112308/.

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O objetivo nesta pesquisa foi o de avaliar quantitativamente as variações na determinação de 7 pontos cefalométricos e analisar o quanto que estes erros podem influenciar no planejamento e progressão da terapêutica ortodôntica. Foram utilizados 14 crânios macerados onde fora colocadas esferas metálicas para a demarcação dos pontos cefalométricos escolhidos. Estes crânios foram radiografados com e sem as esferas metálicas, e as grandezas cefalométricas avaliadas estatisticamente. Os resultados mostraram que a média de erro na localização dos pontos foi de 57,5% e que este desvio em termos numéricos podem levar a equívocos de planejamento que podem comprometer seriamente o resultado do tratamento com desvios em algumas medidas cefalométricas de até 4mm. As mensurações relacionadas aos pontos espinha nasal anterior, pogonio e gônio foram as que tiveram maior reprodutibilidade, porém, as medidas cefalométricas relacionadas ao ponto A mostraram que as diferenças encontradas então em torno de 4,3mm, e que a avaliação do comprimento mandibular obtida pela localização do ponto condílio, também gerou diferenças de 2,8mm em média, alterando assim substancialmente as avaliações para diagnóstico e tratamento ortodôntico e cirúrgico.
The aim of this study were to evaluate quantitatively the variations on the determination of 7 cephalometric landmarks and to analyze how these differences may influence the planning and outcome of the orthodontic treatment. Small steel balls were glued on specific sites of 14 dry skulls to represent the true anatomical landmarks. The skulls were radiographed with and without the steel balls, and the cephalometric values were submitted to statistical analysis. Results showed that the error in the localization of the landmarks was in average 57,5%. This high deviation, that reaches up to 4mm in certain cephalometric measurements, could lead to errors in treatment planning and compromise the result of any orthodontic treatment. Measurements of the Anterior Nasal Spine, Pogonion and Gonion showed the highest reproducibility, while point A showed the lowest (4,3mm). The evaluation of the mandibular length through the identification of Condyle also showed high discrepancies (2,8mm), which may alter the evaluations for orthodontic and/or surgical diagnosis and treatment.
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Cziraki, Suzanne Elizabeth. "The reproducibility and accuracy of cephalometric analysis using different digital imaging modalities and image compression." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ63001.pdf.

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Brady, Patrick. "Cephalometric analysis of adolescents with severe Class II Division 1 malocclusions treated surgically and non-surgically." Thesis, University of Iowa, 2016. https://ir.uiowa.edu/etd/3052.

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Introduction: Class II Division 1 malocclusions are characterized by a retrusive mandible and prominent upper incisors. Despite Class II malocclusions being one of the most frequently treated cases in orthodontists' office, there is no uniform consensus in the orthodontic community on the best treatment modality and biomechanical approach to use in treating patients with Class II malocclusions. Purpose: This paper examines the end-of-treatment outcomes of severe Class II Division I malocclusion patients treated with surgical versus non-surgical approaches. Study Design: This is a retrospective study of consecutively treated severe Class II Division I patients at the University of Iowa. Initial and deband lateral cephalometric radiographs were compared between 45 non-surgical and 21 surgical patients. All patients that were debanded between the ages of 13 to 19 years were included. Multivariable regression analyses were used to examine differences in outcomes between treatment groups. Results: Following adjustment for patient level confounders (age, gender, and race), those treated surgically had better end of treatment cephalometric outcomes. Those treated surgically had a more balanced skeletal profile, greater reduction in overjet, and improvement in ANB angle (p Conclusion: Orthodontic treatment in conjunction with orthognathic surgery is a more ideal treatment for patients with severe Class II Division I malocclusion. When treated surgically, a greater amount of overjet can be reduced while keeping lower incisors in a more stable position in bone.
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Silveira, Heraldo Luis Dias da. "Desenvolvimento e teste de um modelo interativo para aprendizagem e calibragem em cefalometria radiográfica." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/13155.

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As análises cefalométricas computadorizadas baseiam-se na marcação de pontos anatômicos sobre imagens radiográficas digitalizadas. Estudos têm questionado o desempenho dos executores, tendo em vista a falta de reprodutibilidade dos exames. Tal fato, gera preocupação com a formação do profissional para a prática da cefalometria radiográfica. Desta forma, se faz necessária a criação de novas abordagens no ensino que permitam promover e consolidar conhecimentos e intervenções neste domínio. Dentro deste contexto, foram desenvolvidos um objeto virtual chamado Ceph-Learning para aprendizagem e um software intitulado Cyclops Cephalometry para treinamento e calibragem em cefalometria radiográfica. Especialistas em tecnologia educativa, ortodontia, alunos de graduação e pós-graduação testaram os produtos criados. Os resultados mostraram que estes apresentam-se como ferramentas úteis, eficientes e facilitadoras do processo de aprendizagem e calibragem, servindo de suporte para o aprendizado e prática da cefalometria. Conclui-se que a tecnologia virtual aplicada ao aprendizado assistido por computador é eficiente e melhora o desempenho acadêmico e profissional nos exames cefalométricos.
Computed cephalometric analysis is based on the identification of anatomical landmarks marked on digitized radiographic images. Some studies have been enquiring the performance of the examiner, considering the analysis lack of reproducibility. This outcome generates a concern regarding the academic training of the professionals responsible for the cephalometric analysis. Therefore, the creation of new educational approaches which could allow the promotion and consolidation of interventions within this domain is necessary. This context has lead to the development of a virtual object directed to teaching denominated Ceph-Learning and a calibrating and training software named Cyclops Cephalometry. Technology education and orthodontics specialists, undergraduate and graduate students have tested the developed products. Results show that these tools have facilitated the teaching and calibrating process proven to be useful and efficient, therefore, standing as a cephalometric practice and learning support. As a conclusion, virtual technology applied to computer-aided learning is efficient and improves the professional and academic performance regarding cephalometric analysis.
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Books on the topic "Cephalometric Analysis"

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Kholov, Eugene. Computerized Burlington cephalometric analysis. [Toronto]: Faculty of Dentistry, University of Toronto, 1985.

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Coben, S. Eugene. Basion horizontal: An integrated concept of craniofacial growth and cephalometric analysis. Jenkintown, Pa: Computer Cephalometrics Associated, 1986.

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Buckle, Richard John F. A study of errors in cephalometric analysis, using traditional methods and a computer. Birmingham: University of Birmingham, 2000.

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C, Leighton B., ed. A manual of facial growth: A computer analysis of longitudinal cephalometric growth data. Oxford: Oxford University Press, 1993.

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Cziraki, Suzanne. The reproducibility and accuracy of cephalometric analysis using different digital imaging modalities and image compression. Toronto: Faculty of Dentistry, University of Toronto, 2001.

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Long, Linwood M. Computerized cephalometrics: The Toronto analysis, version 1,1. Toronto: Faculty of Dentistry, University of Toronto, 1986.

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Meneghini, Fabio. Clinical facial analysis: Elements, principles, and techniques. 2nd ed. Berlin: Springer, 2012.

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Kumar, Dr Jyotirmay Dr Amit, and Dr Abhinav Raj Gupta, eds. Hard Tissue Cephalometric Analysis in Orthodontics. AkiNik Publications, 2021. http://dx.doi.org/10.22271/ed.book.1068.

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Book chapters on the topic "Cephalometric Analysis"

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Ferraro, James W. "Cephalometry and Cephalometric Analysis." In Fundamentals of Maxillofacial Surgery, 233–45. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1898-2_13.

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Naini, Farhad B. "Cephalometry and Cephalometric Analysis." In Facial Aesthetics, 86–122. West Sussex, UK: John Wiley & Sons, Ltd., 2013. http://dx.doi.org/10.1002/9781118786567.ch7.

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Gill, Daljit S., and Farhad B. Naini. "Cephalometric Analysis." In Orthodontics: Principles and Practice, 78–87. West Sussex, UK: John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9781118785041.ch9.

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Romaniuk, B., M. Desvignes, J. Robiaille, M. Revenu, and M. J. Deshayes. "Augmented Reality and Semi-automated Landmarking of Cephalometric Radiographs." In Computer Analysis of Images and Patterns, 410–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44692-3_50.

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Abe, Jair Minoro, Neli R. S. Ortega, Maurício C. Mário, and Marinho Del Santo. "Paraconsistent Artificial Neural Network: An Application in Cephalometric Analysis." In Lecture Notes in Computer Science, 716–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552451_98.

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Poole, Andrew E., Rima M. Munoz, and Suzanne B. Cassidy. "Antero-Posterior Cephalometric Analysis of the Craniofacial Complex in the Prader-Willi Syndrome." In Prader-Willi Syndrome, 189–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84283-2_22.

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Abe, Jair Minoro, and Kazumi Nakamatsu. "Paraconsistent Artificial Neural Networks and Pattern Recognition: Speech Production Recognition and Cephalometric Analysis." In Advances in Reasoning-Based Image Processing Intelligent Systems, 365–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24693-7_12.

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Bholsithi, Wisarut, C. Sinthanayothin, K. Chintakanon, R. Komolpis, and W. Tharanon. "Comparison between 3D and 2D Cephalometric Analyses." In IFMBE Proceedings, 540–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69139-6_135.

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Wolford, Larry. "Clinical, Occlusal, and Cephalometric Analyses of the OSA Patient." In Management of Obstructive Sleep Apnea, 341–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54146-0_23.

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"CEPHALOMETRIC ANALYSIS." In Key Topics in Oral and Maxillofacial Surgery, 63–67. CRC Press, 1997. http://dx.doi.org/10.3109/9780203306123-15.

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Conference papers on the topic "Cephalometric Analysis"

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Maiorana, Francesco, Rosalia Leonardi, and Daniela Giordano. "Eye-tracker data analysis in cephalometric landmarking." In 2012 International Conference on Computer & Information Science (ICCIS). IEEE, 2012. http://dx.doi.org/10.1109/iccisci.2012.6297176.

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Sanatkhani, Soroosh, and Prahlad G. Menon. "Three-Dimensional Cephalometric Analysis Using Computed Tomographic Imaging." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88259.

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Abstract:
Successful outcomes from the use of orthodontic devices are underpinned on their effective anchorage and the loading that they apply to the underlying facial structures. Anchorage plays an important role in determining the point of application of the corrective forces and subsequently the orientation of the resultant of these forces, which in-turn governs the outcome of treatment. Therefore, patient-specific design of anchors and their placement may benefit significantly from personalization using patient-specific and three-dimensional (3D) cephalometry. 3D cephalometry is therefore a first step to personalization of orthodontic treatment. In this feasibility study, we demonstrate the viability a novel image processing and surface analysis pipeline to quantify facial symmetry about the mid-sagittal facial plane, which may offer insight into optimal placement and orientation for implantation of orthodontic anchors, starting with patient-specific cone beam computed tomography (CBCT) images. Typical assessments of geometrical features/attributes of face include size, position, orientation, shape, and symmetry. Using 3D CBCT images in the DICOM image format, skull images were first segmented using a basic iso-contouring approach. To quantify symmetry, we split the skull along the mid-sagittal plane and used an iterative closest point (ICP) approach in order to rigidly co-register the left and right sides of the skull, optimizing for rotation, translation and scaling, after reflection of one half across the mid-sagittal plane. This was accomplished using an in-house plugin is developed for the open-source visualization toolkit (VTK) based 3D visualization tool, Paraview (Kitware Inc.). Finally, using a signed regional distance mapping plugin we were able to assess the regional asymmetry of regions of the skull (e.g. upper and lower jaw – specific targets for therapy) using colormaps of regional asymmetry (in terms of left-v/s-right side surface distance) and visualized the same as vector glyphs. The direction of these vectors is synonymous with anticipated regional forces required in order to achieve left-right symmetry, which in-turn may have value in surgical planning for orthodontic implantation. In sum, we demonstrate a workflow for computer-aided cephalometry to assess the symmetry of the skull, which shows promise for personalized orthodontic anchor design.
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Mosleh, Mogeeb A. A., Mohd Sapiyan Baba, Nor Himazian, and Bandar M. A. AL-Makramani. "An image processing system for cephalometric analysis and measurements." In 2008 International Symposium on Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/itsim.2008.4631953.

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Chen, Shoupu. "Tooth segmentation system with intelligent editing for cephalometric analysis." In SPIE Medical Imaging, edited by Barjor Gimi and Robert C. Molthen. SPIE, 2015. http://dx.doi.org/10.1117/12.2081639.

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Indira Pramita Sari, Retno Widayati, Menik Priaminiarti, Donny Danudirdjo, and Tati Latifah Mengko. "Initial estimation of landmark location for automated cephalometric analysis using template matching method." In 2015 4th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME). IEEE, 2015. http://dx.doi.org/10.1109/icici-bme.2015.7401355.

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Weining Yue, Dali Yin, Chengjun Li, Guoping Wang, and Tianmin Xu. "Locating large-scale craniofacial feature points on X-ray images for automated cephalometric analysis." In rnational Conference on Image Processing. IEEE, 2005. http://dx.doi.org/10.1109/icip.2005.1530288.

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Calderon-Sastre, Enrique, Jose Luis Lopez-Ramirez, Jose Ruiz-Pinales, Juan Gabriel Avina-Cervantes, Mario Alberto Ibarra-Manzano, and Julio Carlos Garnica-Palazuelos. "Preprocessing and Labeling Tool for Lateral Skull X-Ray Images Applied to Cephalometric Analysis." In 2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). IEEE, 2020. http://dx.doi.org/10.1109/ropec50909.2020.9258671.

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El-Fegh, I., M. Galhood, M. Sid-Ahmed, and M. Ahmadi. "Automated 2-D cephalometric analysis of X-ray by image registration approach based on least square approximator." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4650074.

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Wang, Shu-Li, Shin-Lian Wang, and Fan Wu. "Decision Support System for Cephalometric Analyses of Orthodontics." In 2009 2nd International Conference on Biomedical Engineering and Informatics. IEEE, 2009. http://dx.doi.org/10.1109/bmei.2009.5302080.

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Arun Kumar, N. S., Srijit R. Kamath, S. Ram, B. Muthukumaran, A. Venkatachalapathy, A. Nandakumar, and P. Jayakumar. "Web-based cephalometric procedure for craniofacial and dentition analyses." In BiOS 2000 The International Symposium on Biomedical Optics, edited by Tuan Vo-Dinh, Warren S. Grundfest, and David A. Benaron. SPIE, 2000. http://dx.doi.org/10.1117/12.384888.

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Reports on the topic "Cephalometric Analysis"

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Solodkaya, K. I., V. V. Petrovskaya, and YU A. Gioeva. Sagittal cephalometric analysis of skull CBCT. OFERNIO, February 2021. http://dx.doi.org/10.12731/ofernio.2021.24755.

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Solodkaya, K. I., V. V. Petrovskaya, and YU A. Gioeva. Coronal-axial cephalometric analysis of skull CBCT. OFERNIO, February 2021. http://dx.doi.org/10.12731/ofernio.2021.24756.

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Godfrey, Bracken R. Accuracy of 3D Imaging Software in Cephalometric Analysis. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ad1012925.

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