Sistema inteligente para o processamento de imagens digitais intrabucais oclusais

Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

Sistema inteligente para o processamento de imagens digitais intrabucais oclusais

Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

Classificação bibliográfica: as diversas contribuições para o tratamento da informação

PEREIRA, Edinete do Nascimento et al. Classificação bibliográfica: as diversas contribuições para o tratamento da informação. In: SEMINÁRIO DE PESQUISA DO CCSA, 15., 2009. Anais... Natal: UFRN, 2009.

Achados da fundoscopia e alterações do pé diabético em pacientes do Hospital Universitário Onofre Lopes/UFRN

Trabalho com o objetivo de identificar as alterações do pé diabético causadas pelas lesões microangiopáticas e das lesões do fundo de olho secundárias aretinopatia diabética. Métodos:76 pacientes com Diabetes Melito tipos 1 e 2atendidos no ambulatório de Oftalmologia e Cirurgia Vascular do HUOL/UFRN, Natal, RN, no período de novembro de 2004 a janeiro de 2005, com queixas relativas a alterações da retinopatia diabéticae/oudo pé diabético. Em todos os pacientes foi realizado exame clínico geral, vascular e oftalmológico. Na avaliação específicado pé diabético deu-se ênfase paraa investigação do status vascular pela Classificação de Fontaine para Doença Arterial Obstrutiva Periférica, biomecânica,e teste do monofilamento de Semmes-Weinstein. O exame oftalmológico constou de refração e fundoscopiaatravés da qual identificou-se as formas clínicas da retinopatia diabética. Os dados foram submetidos à análise estatística das variáveis primárias que consistiu em caracterizar o grupo quanto a idade, tempo de doença, nível de glicose A segunda estratégia da análise dos dados constituiu na realização de testes de associação entrealgumas variáveis secundárias selecionadas. O software utilizado para os testes estatísticos foi o Statistica Versão 5, 1997.Resultado: Dos 76 pacientes diabéticos 97% tinham idade superior a 40 anos. O tempo de doença65% tinham mais de 10 anos. Com relação à glicose 72,72% apresentaram níveis de glicose em jejum acima de 100mg/dl. 55,26% apresentavam algum grau de retinopatia diabética contra 44,74% que não apresentavamesses sinais. Com as alterações do pé diabético, identificou-se 59,93% com lesões com área de predominância isquêmica, enquanto 41,07% tinham ausência de sinais. 58,82% apresentaram área de predominância neuropática, e 41,18% sem sinais de neuropatia. Dos com retinopatia diabética 78,57% tinham comprometimento isquêmico no pé e 47,62% tinham algum grau de neuropatia diabética. Observou-se que a retinopatia diabética não proliferativa, nos seus diversos graus de comprometimento apresentou-se com percentuais em torno de 80% junto às lesões do pé diabético, seja isquêmico ou neuropático. Dos pacientes que tinham retinopatia 60,46% tinham alterações biomecânicas dos pés. Conclusão: Concluiu-se que a RDNP leve foi mais freqüente nas lesões do pé diabético isquêmico, enquanto a RDNP severa mostrou-se mais presente no pé diabético neuropático

Estudo da viabilidade do processo de reciclagem do material descartado do sistema Zirkonzanh® de produção de próteses dentárias

At present, the material of choice for performing aesthetic dental prosthetic work is in the ceramic. Among them, the ceramic base of stabilized zirconia with 3% yttria (3Y - TZP) stand out for having excellent physical and mechanical properties. During the machining of blocks of zirconia in the laboratory to prepare the various types of prostheses, much of the material is given off in the form of powder, which is subsequently discarded. The waste of this material results in financial loss, reflecting higher final cost treatment for patients, as well as damage to the environment, thanks to the processes involved in the manufacture and disposal of the ceramic. This research, pioneered the recycling of zirconium oxide powder obtained during milling of dental crowns and bridges, we highlight the social and environmental aspects and aims to establish a protocol for the reuse of waste (powder of zirconia Zirkonzahn® system) discarded to obtain a new block of compacted zirconia to maintain the same mechanical and microstructural properties of commercial high-cost imported material. To compare with the commercial material, samples were uniaxially (20 MPa) and isostatically (100 MPa), and its mechanical and microstructural characterization was performed through tests of density, porosity, dilatometry, X-ray diffraction (XRD), hardness, fracture toughness, resistance to fracture electron microscopy (SEM) and analysis of grain size. The results observed in the samples were isostatically pressed similiares those obtained with samples from the commercial material demonstrating the viability of the process

Desenvolvimento de um sistema Inteligente para a análise de cartas dinamométricas no método de elevação por bombeio mecânico

The artificial lifting of oil is needed when the pressure of the reservoir is not high enough so that the fluid contained in it can reach the surface spontaneously. Thus the increase in energy supplies artificial or additional fluid integral to the well to come to the surface. The rod pump is the artificial lift method most used in the world and the dynamometer card (surface and down-hole) is the best tool for the analysis of a well equipped with such method. A computational method using Artificial Neural Networks MLP was and developed using pre-established patterns, based on its geometry, the downhole card are used for training the network and then the network provides the knowledge for classification of new cards, allows the fails diagnose in the system and operation conditions of the lifting system. These routines could be integrated to a supervisory system that collects the cards to be analyzed