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Hindawi Publishing Corporation International Journal of Biomedical Imaging
 

Summary: Hindawi Publishing Corporation
International Journal of Biomedical Imaging
Volume 2007, Article ID 10526, 15 pages
doi:10.1155/2007/10526
Research Article
Brain MRI Segmentation with Multiphase Minimal
Partitioning: A Comparative Study
Elsa D. Angelini,1 Ting Song,2 Brett D. Mensh,3 and Andrew F. Laine2
1 Ecole Nationale Sup´erieure des T´el´ecommunications, Groupe des Ecoles des T´el´ecommunications,
CNRS UMR 5141, 75013 Paris, France
2 Department of Biomedical Engineering, School of Engineering and Applied Science, Columbia University,
New York, NY 10027, USA
3 Department of Biological Psychiatry, College of Physicians and Surgeons, Columbia University, New York,
NY 10032, USA
Received 3 August 2006; Revised 10 November 2006; Accepted 19 December 2006
Recommended by Yue Wang
This paper presents the implementation and quantitative evaluation of a multiphase three-dimensional deformable model in a
level set framework for automated segmentation of brain MRIs. The segmentation algorithm performs an optimal partitioning
of three-dimensional data based on homogeneity measures that naturally evolves to the extraction of different tissue types in
the brain. Random seed initialization was used to minimize the sensitivity of the method to initial conditions while avoiding

  

Source: Angelini, Elsa -Département Traitement du Signal et des Images, Telecom ParisTech

 

Collections: Engineering; Biology and Medicine