Segmentation of scalp, skull, CSF, grey matter and white matter in MRI of mouse brain

Author

Wang, Xinzeng ; Weitao Li ; Li, Weitao ; Qian, Zhiyu

Author_Institution

Dept. of Biomed. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China

Volume

2

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

550

Lastpage

554

Abstract

A new segmentation method for segmenting the scalp, skull, cerebrospinal fluid (CSF) layer, grey matter and white matter in MRI of mouse brain was proposed. The method is based on the threshold, K-means Clustering and Narrow Band Level Set methods. Firstly, the threshold for skull segmentation is obtained by simple interaction. Secondly, skull segmentation using threshold methods combined with dilation and erosion and the skull upper surface is extracted. Thirdly, brain is extracted using narrow band level set method and scalp is obtained by minus other tissues. In the next step, brain is segmented by fuzzy c-means clustering. Finally, the 3D segmentation result is reconstructed.

Keywords

biomedical MRI; brain; fuzzy set theory; image reconstruction; image segmentation; medical image processing; 3D segmentation; CSF; MRI; cerebrospinal fluid; fuzzy c-means clustering; grey matter; image segmentation; k-means clustering; mouse brain; narrow band level set; scalp; skull; white matter; Brain modeling; Image segmentation; Level set; Mice; Monte Carlo methods; Scalp; Skull; fuzzy c-mean clustering segmentation; image segmentation; narrow band level set method; threshold segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6495-1

Type

conf

DOI

10.1109/BMEI.2010.5639992

Filename

5639992