Title :
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
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;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5516044
