Expectation-Maximization Segmentation

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


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