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Name
EMS (Expectation-Maximization Segmentation)
Byline
Medical Image Computing, Leuven, Belgium
Description
EMS is a freely available suite of Matlab functions and subroutines (with some externally compiled C routines) for fully-automated multi-spectral classification of brain tissues in Magnetic Resonance (MR) images. It uses a model based approach (including an explicit model for MR bias fields) in which all the model parameters are automatically estimated for each individual scan. This enables it to process large amounts of data from normal subjects and subjects suffering from Multiple Sclerosis without need for user intervention or preceeding manual training phase.
NIfTI-1 support
Creator
Koen Van Leemput
Contact
<koen.vanleemput@hut.fi>
WWW
http://bilbo.esat.kuleuven.ac.be/web-pages/downloads/ems/ems.html
Availability
distributed free of charge for research purposes
How to get
download from web site
Current version
Current version release date
Open source
No
License
Available free of charge
Yes
Requirements
  • MATLAB 5.2.1 or greater
  • ANSII C-compiler
  • SPM
Technical publications
  • K. Van Leemput, F. Maes, D. Vandermeulen, A. Colchester, P. Suetens, Automated segmentation of multiple sclerosis lesions by model outlier detection , IEEE transactions on medical imaging, vol. 20, no. 8, pp. 677-688, August 2001 - Abstract-

  • K. Van Leemput, F. Maes, D. Vandermeulen, P. Suetens, Automated model-based tissue classification of MR images of the brain , IEEE transactions on medical imaging, vol. 18, no. 10, pp. 897-908, October 1999 - Abstract-

  • K. Van Leemput, F. Maes, D. Vandermeulen, P. Suetens, Automated model-based bias field correction of MR images of the brain , IEEE transactions on medical imaging, vol. 18, no. 10, pp. 885-896, October 1999 - Abstract-

  • F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, P. Suetens, Multimodality image registration by maximization of mutual information , IEEE transactions on Medical Imaging, vol. 16, no. 2, pp. 187-198, April 1997 (in December 2000 recognized by the IEEE as the journal’s most frequently cited paper published in 1997) -certificate-

Applications publications
Other information
Keywords
registration, segmentation
Platforms
HPUX, IRIX, Linux, MATLAB, SunOS, UNIX, Windows
IATR listing last updated
11 Jan 2002