Neural network model for Automatic Segmentation of brain MRI

Author

Shanthi, K.J. ; Kumar, M. Sasi ; Kesavadas, C.

Author_Institution

Dept of Electron.&Comm.Eng., SCT Coll. of Eng., Trivandrum

fYear

2008

fDate

10-12 Oct. 2008

Firstpage

1125

Lastpage

1128

Abstract

Automatic Segmentation of brain MRI is used as a diagnostic tool in neuro medicine. Abnormal growth of brain tissues can be detected. Changes in volumetric growth of brain tissues such as white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF) can help in the early detection of neural disorders like epilepsy, Alzhemeirpsilas disease etc. Automatic segmentation of brain is a challenging problem. We have developed a hybrid method using threshold and neural network model. In this paper we have discussed preprocessing filters and skull stripping.

Keywords

biomedical MRI; brain; image segmentation; medical image processing; neural nets; automatic segmentation; brain MRI; brain tissues; cerebrospinal fluid; diagnostic tool; gray matter; neural network; neuro medicine; skull stripping; white matter; Biological neural networks; Biomedical imaging; Brain modeling; Filters; Image edge detection; Image processing; Image segmentation; Magnetic resonance imaging; Medical diagnostic imaging; Skull;

fLanguage

English

Publisher

ieee

Conference_Titel

System Simulation and Scientific Computing, 2008. ICSC 2008. Asia Simulation Conference - 7th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1786-5

Electronic_ISBN

978-1-4244-1787-2

Type

conf

DOI

10.1109/ASC-ICSC.2008.4675534

Filename

4675534