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EMS
Expectation-Maximization Segmentation
Fully automated model-based segmentation of MR images of
the brain
Developed by Koen Van Leemput at Medical Imaging Computing, Leuven, Belgium
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About EMS
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 is an add-on to the freely distributed SPM-package (Statistical
Parametric Mapping, the Wellcome Department of Cognitive Neurology),
and implements the methods described in the following papers:
- 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-
Koen Van Leemput
<koen@nmr.mgh.harvard.edu>
Last modified: Tue Sep 4 14:47:10 EEST 2001
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