RESUMEN
AIM: Imaging with Confocal Laser Scanning Microscopy (CLSM) generates high-resolution images and may be well suited for basic research in Periodontology and Implant Dentistry. The present study was aimed to explore the in vivo application of CLSM in experimentally induced gingivitis. MATERIALS AND METHODS: Ten subjects were recruited and were advised to stop any oral hygiene of the upper front teeth for 7 days. The gingival tissues were observed using a Heidelberg Retina Tomograph combined with a Rostock Cornea Module at baseline and day 7. The system used a laser of 670 nm and the contrast was given by backscattering from different tissues. Each examination created 800-1200 images that were descriptively analysed. RESULTS: After 7 days of abandoned oral hygiene, plaque scores and bleeding frequencies increased. By using CLSM images tooth hard substances, cells and plaque deposits were distinguishable. Increased epithelial cell irregularities, the apical migration of the sulcular epithelium, cellular infiltrates within the sulcus and plaque deposits were observed at day 7. CONCLUSIONS: The present study showed for the first time that CLSM is suitable for in vivo imaging of the gingival sulcus and adjacent tissues.
Asunto(s)
Placa Dental/patología , Encía/patología , Gingivitis/patología , Microscopía Confocal/métodos , Membrana Celular/patología , Núcleo Celular/patología , Citoplasma/patología , Inserción Epitelial/patología , Células Epiteliales/patología , Femenino , Estudios de Seguimiento , Humanos , Procesamiento de Imagen Asistido por Computador/métodos , Rayos Láser , Masculino , Dispersión de Radiación , Tomografía/métodosRESUMEN
Optical Coherence Tomography (OCT) is a noninvasive imaging technique which is used here for in vivo biocompatibility studies of percutaneous implants. A prerequisite for a morphometric analysis of the OCT images is the correction of optical distortions caused by the index of refraction in the tissue. We propose a fully automatic approach for 3D segmentation of percutaneous implants using Markov random fields. Refraction correction is done by using the subcutaneous implant base as a prior for model based estimation of the refractive index using a generalized Hough transform. Experiments show the competitiveness of our algorithm towards manual segmentations done by experts.