Avaliação clínica do efeito da irradiação pós-opratória do laser de baixa intensidade na cicatrização de gengivoplastias em humanos

Many studies have been made to understand the process of tissular cicatrization, as well as the possible effects of laser therapy in the wound healing. However, the influence of low frequency laser irradiation in the repairing process is not completely understood. Our study has the purpose to assess clinically the effect of postoperative irradiation of the low frequency laser in humans, and the gingival repairing process postgingivoplasty performed with the extern bevel technique. Twenty-four patients with inflammatory gingival hyperplasia were enrolled in this study, which did not reduce with basic periodontal procedures, and patients with melanin pigmentation, with esthetic indications. After surgery the test group, randomly selected by a drawing, received laser application with energy density of 4 J/cm2, immediately after surgery and each 48 hours, during a week, with a total of 4 sections. The control group did not receive irradiation. The visual clinical analyses were performed by a single blind examiner, in the 2nd, 4th, 6th, 8th, 15th and 21st days post surgery. For statistic analyses of the data was used a Q-square test. Concerning the color, the results showed a better wound healing during days 6 to 8. when assessed the degree of progress of surgical wound, the results showed that the test group had a better cicatrization compared with the control group in the 2nd, 6th, 8th and 15th days post surgery, and at the 21st day both groups had the same results. Our results confirm that the laser had clinical influence in the repairing process after gingivoplasty surgery during days 2 to 15 post surgery

Utilizando mapas de conectividade fuzzy no desenvolvimento de algoritmos reparadores de imagens binárias 3D

A 3D binary image is considered well-composed if, and only if, the union of the faces shared by the foreground and background voxels of the image is a surface in R3. Wellcomposed images have some desirable topological properties, which allow us to simplify and optimize algorithms that are widely used in computer graphics, computer vision and image processing. These advantages have fostered the development of algorithms to repair bi-dimensional (2D) and three-dimensional (3D) images that are not well-composed. These algorithms are known as repairing algorithms. In this dissertation, we propose two repairing algorithms, one randomized and one deterministic. Both algorithms are capable of making topological repairs in 3D binary images, producing well-composed images similar to the original images. The key idea behind both algorithms is to iteratively change the assigned color of some points in the input image from 0 (background)to 1 (foreground) until the image becomes well-composed. The points whose colors are changed by the algorithms are chosen according to their values in the fuzzy connectivity map resulting from the image segmentation process. The use of the fuzzy connectivity map ensures that a subset of points chosen by the algorithm at any given iteration is the one with the least affinity with the background among all possible choices