Automatic Extraction of Brain from Cerebral MR Image Based on Improved BET Method
Shaofeng Jiang, Suhua Yang, Zhen Chen, Wufan Chen · 2009
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.