@InProceedings{BeltranSantCruzFrei:2016:EnViMi,
author = "Beltran, Lizeth Andrea Castellanos and Santos, Jorge Luiz dos and
Cruz, Carolina Uribe and Freitas, Carla Maria Dal Sasso",
affiliation = "{Federal University of Rio Grande do Sul UFRGS} and Centro de
Investiga{\c{c}}{\~a}o em Ci{\^e}ncias da Sa{\'u}de,
Universidade da Beira Interior and Laboratorio Experimental de
Hepatologia e Gastroenterologia, Hospital Clinicas de Porto Alegre
and {Federal University of Rio Grande do Sul UFRGS}",
title = "Enhancing the Visualization of the Microvasculature of
Extrahepatic Bile Ducts Obtained from Confocal Microscopy Images",
booktitle = "Proceedings...",
year = "2016",
editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and
Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson
A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti,
David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa,
Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and
Santos, Jefersson dos and Schwartz, William Robson and Thomaz,
Carlos E.",
organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
publisher = "IEEE Computer Society´s Conference Publishing Services",
address = "Los Alamitos",
keywords = "Anisotropic diffusion, Image processing, Confocal microscopic
images, Volumetric Visualization.",
abstract = "Confocal microscopy is an important tool for visualizing 3D
datasets of fluorescent specimens, and has been used to
investigate the structure of biological specimens. However, such
images are affected by the noise introduced during the specimen
preparation and image acquisition processes. Anisotropic diffusion
is a non-linear filter that can significantly improve image
quality while removing noise without blurring edges. This study
investigates the application of anisotropic diffusion in confocal
microscopy images by exploring different models for parameters'
estimation. Our data consists of several slices of extrahepatic
bile ducts containing a network of small vessels named Peribiliary
Vascular Plexus (PVP), which are affected by several sources of
noise. Experimental results show that anisotropic diffusion
improved the volumetric visualization of the PVP. We validated the
results using MSE and PSNR quantitative approaches and qualitative
description by an expert user.",
conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
conference-year = "4-7 Oct. 2016",
doi = "10.1109/SIBGRAPI.2016.013",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.013",
language = "en",
ibi = "8JMKD3MGPAW/3M5KEEE",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3M5KEEE",
targetfile = "PID4373667.pdf",
urlaccessdate = "2024, May 03"
}