@InProceedings{LaraMenoFariAraú:2009:SeMeSe,
author = "Lara, Daniel S. D. and Menotti, David and Faria, Alexandre W. C.
and Ara{\'u}jo, Arnaldo de Albuquerque",
title = "A Semi-Automatic Method for Segmentation of the Coronary Artery
Tree from Angiography",
booktitle = "Proceedings...",
year = "2009",
editor = "Nonato, Luis Gustavo and Scharcanski, Jacob",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 22.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Image Segmentation, Coronary Artery Tree, Angiography.",
abstract = "Nowadays, medical diagnostics using images has a considerable
importance in many areas of medicine. It promotes and makes easier
the acquisition, transmission and analysis of medical images. The
use of digital images for diseases evaluations or diagnostics is
still growing up and new application modalities are always
appearing. This paper presents a methodology for a semi-automatic
segmentation of the coronary artery tree in 2D X-Ray
angiographies. It combines a region growing algorithm and a
differential geometry approach. The proposed segmentation method
identifies about 90% of the main coronary artery tree.",
conference-location = "Rio de Janeiro, RJ, Brazil",
conference-year = "11-14 Oct. 2009",
doi = "10.1109/SIBGRAPI.2009.41",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2009.41",
language = "en",
ibi = "8JMKD3MGPBW4/35TE3AS",
url = "http://urlib.net/ibi/8JMKD3MGPBW4/35TE3AS",
targetfile = "2009-sibgrapi-angio_submitted.pdf",
urlaccessdate = "2024, Apr. 27"
}