Title :
A JOINT REGISTRATION AND SEGMENTATION APPROACH TO SKULL STRIPPING
Author :
Carass, Aaron ; Wheeler, M. Bryan ; Cuzzocreo, Jennifer ; Bazin, Pierre-Louis ; Bassett, Susan S. ; Prince, Jerry L.
Author_Institution :
Image Anal. & Commun. Lab., Johns Hopkins Univ., Baltimore, MD
Abstract :
Extraction of the cerebrum, cerebellum, and brain stem from structural magnetic resonances images (MRIs) is an important initial step in neuroimaging. We present an automated algorithm that solves this difficult problem, often referred to as skull stripping, which is novel for its use of registration, segmentation, and morphological operations. Our algorithm is also concerned with an accurate representation of the grey matter boundary, which is a unique feature. We also present results demonstrating the accuracy of this approach
Keywords :
biomedical MRI; bone; brain; feature extraction; image registration; image segmentation; medical image processing; automated algorithm; brain stem extraction; cerebellum extraction; cerebrum extraction; grey matter boundary; joint registration-segmentation approach; morphological operation; neuroimaging; registration operation; segmentation operation; skull stripping; structural magnetic resonances images; Humans; Image analysis; Image segmentation; Magnetic heads; Magnetic resonance; Magnetic resonance imaging; Morphological operations; Neuroimaging; Skull; Surface morphology;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
DOI :
10.1109/ISBI.2007.356937
