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

fYear

2007

fDate

12-15 April 2007

Firstpage

656

Lastpage

659

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISBI.2007.356937

Filename

4193371