Title :
Automatic Extraction of Brain from Cerebral MR Image Based on Improved BET Method
Author :
Jiang Shaofeng ; Yang Suhua ; Chen Zhen ; Chen Wufan
Author_Institution :
Sch. of Autom., Nanchang HangKong Univ., Nanchang, China
Abstract :
BET is a well known brain extraction method from cerebral MR, FMR and PET images, but there are cases that it can not get ideal result whatever you set the parameters in BET method when processing real cerebral MR images. To overcome this problem, this paper modifies the definitions of smoothing force and expansionary force used in the BET algorithm to evolve the contour of brain according to the intensity distribution of images and adds a new path to search the local maximum and minimum intensity of image. Experiments show that the improved method is more robust than BET method when processing real MR images.
Keywords :
biomedical MRI; brain; feature extraction; medical image processing; brain automatic extraction; brain contour; cerebral MR image; expansionary force; improved BET method; smoothing force; Automation; Biomedical engineering; Biomedical imaging; Brain; Data mining; Magnetic resonance; Positron emission tomography; Robustness; Smoothing methods; Surface morphology;
Conference_Titel :
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4132-7
Electronic_ISBN :
978-1-4244-4134-1
DOI :
10.1109/BMEI.2009.5304856
