Reference TypeConference Proceedings
Citation KeySeixasSaadSouzSant:2007:AuSeCo
Author1 Seixas, Flavio Luiz
2 Saade, Débora C. Muchaluat
3 Souza, Andrea Silveira de
4 Santos, Alair Augusto Sarmet M. D. dos
Affiliation1 UFF - Engenharia de Telecomunicações
2 UFF - Engenharia de Telecomunicações
3 LABS - Rede D'Or
4 UFF - Faculdade de Medicina
TitleAutomated Segmentation of the Corpus Callosum Midsagittal Surface Area
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Book TitleProceedings
DateOct. 7-10, 2007
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationBelo Horizonte
KeywordsMagnetic Resonance, Segmentation, Image Processing, Brain, Corpus Callosum, Neuroanatomical Structures.
AbstractThe 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.
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size333 KiB
Number of Files1
Target FileSeixas-AutomatedSegmentationCorpusCallosum.pdf
Last Update2007: administrator
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