DocumentCode :
1670120
Title :
Brain Image Segmentation Based on Bilateral Symmetry Information
Author :
Jiao Feng ; Fu Desheng ; Bi Shuoben
Author_Institution :
Comput. & Software Inst., Nanjing Univ. of Inf. Sci. & Technol., Nanjing
fYear :
2008
Firstpage :
1951
Lastpage :
1954
Abstract :
Although edge information is the main clue in image segmentation, it can´t get a better result in analysis the content of images without combining other information. The segmentation of brain tissue in the magnetic resonance imaging (MRI) is very important for detecting the existence and outlines of tumors. In the paper, an algorithm about segmentation based on the symmetry character of brain MRI image is presented. Our goal is to detect the position and boundary of tumors automatically. Experiments were conducted on real pictures, and the results show that the algorithm is flexible and convenient.
Keywords :
biomedical MRI; biomedical measurement; brain; cancer; edge detection; image segmentation; information theory; medical image processing; tumours; MRI; bilateral symmetry information; brain image segmentation; brain tissue segmentation; edge information; magnetic resonance imaging; position detection; tumors boundary; tumors detection; Brain; Humans; Image analysis; Image edge detection; Image segmentation; Information analysis; Magnetic analysis; Magnetic resonance imaging; Neoplasms; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
Type :
conf
DOI :
10.1109/ICBBE.2008.817
Filename :
4535697
Link To Document :
بازگشت