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MRI Brain Extraction with Combined Expectation Maximization and Geodesic Active Contours
 

Summary: MRI Brain Extraction with Combined
Expectation Maximization and Geodesic Active Contours
Albert Huang1
, Rafeef Abugharbieh1
, Roger Tam2
and Anthony Traboulsee2
1
Dept. of Elec. & Comp. Eng., The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
2
Dept. of Medicine, The University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
ABSTRACT
Abstract - This paper presents a new fully automated method for the
extraction of brain cortex from T1-weighted magnetic resonance
imaging (MRI) head scans. Combined with the expectation
maximization (EM) algorithm, and a hybrid of pre- and post-
processing techniques, incorporating mathematical morphology
and connected component analysis, geodesic active contours are
evolved in 3D space to segment the cortex. The robustness and
accuracy of our proposed method are validated with both synthetic
and real MRI data. Our method outperforms standard techniques

  

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

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences