@InProceedings{SeixasSaadSouzSant:2007:AuSeCo,
author = "Seixas, Flavio Luiz and Saade, D{\'e}bora C. Muchaluat and Souza,
Andrea Silveira de and Santos, Alair Augusto Sarmet M. D. dos",
affiliation = "{UFF - Engenharia de Telecomunica{\c{c}}{\~o}es} and {UFF -
Engenharia de Telecomunica{\c{c}}{\~o}es} and {LABS - Rede D'Or}
and {UFF - Faculdade de Medicina}",
title = "Automated Segmentation of the Corpus Callosum Midsagittal Surface
Area",
booktitle = "Proceedings...",
year = "2007",
editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes
Vieira",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Magnetic Resonance, Segmentation, Image Processing, Brain, Corpus
Callosum, Neuroanatomical Structures.",
abstract = "The non-invasive in vivo nature of magnetic resonance imaging
(MRI) makes it the modality of choice of many neuroanatomical
imaging studies. This paper discusses automatic brain structure
segmentation based on previous knowledge on statistical models.
The method is validated by an experiment involving magnetic
resonance images acquired from 20 healthy adult individuals (10
men and 10 women). The results provide normative data of the
midsagittal surface area of the corpus callosum from a 46-55 years
old range group, splitting results by gender. Our results were
also compared with data obtained from other authors, validating
the correlation between brain volume and the area of this
structure. The final goal of this work is computer-aided diagnosis
for brain diseases.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
doi = "10.1109/SIBGRAPI.2007.29",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2007.29",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/QVzz7",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QVzz7",
targetfile = "Seixas-AutomatedSegmentationCorpusCallosum.pdf",
urlaccessdate = "2025, Feb. 16"
}