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Brain Extraction Using Geodesic Active Contours Albert Huang*a
 

Summary: Brain Extraction Using Geodesic Active Contours
Albert Huang*a
, Rafeef Abugharbieha
, Roger Tamb
, Anthony Traboulseeb
a
Dept. of Elect. & Comp. Eng., University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
b
Dept. of Medicine, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
ABSTRACT
Extracting the brain cortex from magnetic resonance imaging (MRI) head scans is an essential preprocessing step of
which the accuracy greatly affects subsequent image analysis. The currently popular Brain Extraction Tool (BET)
produces a brain mask which may be too smooth for practical use. This paper presents a novel brain extraction tool
based on three-dimensional geodesic active contours, connected component analysis and mathematical morphology.
Based on user-specified intensity and contrast levels, the proposed algorithm allows an active contour to evolve
naturally and extract the brain cortex. Experiments on synthetic MRI data and scanned coronal and axial MRI image
volumes indicate successful extraction of tight perimeters surrounding the brain cortex. Quantitative evaluations on both
synthetic phantoms and manually labeled data resulted in better accuracy than BET in terms of true and false voxel
assignment. Based on these results, we illustrate that our brain extraction tool is a robust and accurate approach for the
challenging task of automatically extracting the brain cortex in MRI data.

  

Source: Abugharbieh, Rafeef - Department of Electrical and Computer Engineering, University of British Columbia

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences