Automatic brain tumor extraction from T1-weighted coronal MRI using fast bounding box and dynamic snake.
Brain tumor segmentation from MRI data is an important but challenging task. This paper presents an efficient and fully automatic brain tumor segmentation technique. The proposed technique includes a fuzzy C-means (FCM) based preprocessing to enhance the quality of T1-weighted coronal MR images, a fast bounding box (FBB) detection algorithm to locate a rectangle around tumor, and a new dynamic snake using modified Hausdorff distance (MHD) for the final tumor extraction.
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada. txl@ualberta.ca
Tao
T
Xu
Mrinal
M
Mandal
D000465:Algorithms; D056808:Biostatistics; D001932:Brain Neoplasms / Q000175:diagnosis*; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted / Q000379:methods / Q000706:statistics & numerical data; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods* / Q000706:statistics & numerical data