A Multi-Dimension Method for Brain Tissue Segmentation

Author

Jia Di ; Yang Jin-Zhu ; Zhang Yi-fei

Author_Institution

Key Lab. of Med. Image Comput. of Minist. of Educ., Northeast Univ., Liao Ning, China

fYear

2010

fDate

18-20 June 2010

Firstpage

1

Lastpage

4

Abstract

The paper presents a novel method of multi-dimension brain tissue segmentation. Firstly, the ventricle extraction and strip-skull are adopted by level set method and regions merging with tags. Secondly, the noise of the spinal fluid is eliminated through improved level set method. Finally, the gray matter and white matter are extracted through covered background method and the brain tissue is segmented. The method is generally applies to image 2D and 3D segmentation, The accuracy, commonality and practicality are proved by the results in the experiments.

Keywords

biological tissues; bone; brain; feature extraction; image denoising; image segmentation; medical image processing; neurophysiology; 2D segmentation; 3D segmentation; brain tissue; covered background method; gray matter; level set method; multi-dimension segmentation; spinal fluid; strip-skull; ventricle extraction; white matter; Biomedical imaging; Brain modeling; Capacitance-voltage characteristics; Image edge detection; Image segmentation; Laboratories; Level set; Medical diagnostic imaging; Merging; Neurons;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on

Conference_Location

Chengdu

ISSN

2151-7614

Print_ISBN

978-1-4244-4712-1

Electronic_ISBN

2151-7614

Type

conf

DOI

10.1109/ICBBE.2010.5516044

Filename

5516044