Automated segmentation of the corpus callosum midsagittal surface area

被引：4

作者：

Seixas, Flavio Luiz ^{[1
]}

de Souza, Andrea Silveira ^{[2
]}

dos Santos, Alair Augusto Sarmet M. D. ^{[3
]}

Saade, Debora C. Muchaluat ^{[1
]}

机构：

[1] Univ Fed Fluminense, Telecommun Engn Dept, MidiaCom Lab, Niteroi, RJ, Brazil

[2] LABS Rede DOr, Div Radiol, Rio De Janeiro, Brazil

[3] Univ Fed Fluminense, Fac Med, Dept Radiol, Niteroi, RJ, Brazil

来源：

PROCEEDINGS OF THE XX BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING | 2007年

关键词：

D O I：

10.1109/SIBGRAPI.2007.29

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：287 / +

页数：3

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