Authors of MINC

Many People have contributed to MINC over the years. Peter Neelin originally conceived and wrote MINC in about 1992, here is a list of others who have contributed parts of MINC proper (in alphabetical order).

Leila Baghdadi - MINC2 coding
Louis Collins - mni_autoreg, classify and others
Mishkin Derakhshan - many bugfixes
Vladimir Fonov - many bugfixes
Andrew Janke - Maintenance, binary packaging, documentation
Jason Lerch - brain view and other surface things
Dave McDonald - conglomerate, register, Display
Claude LePage - many bugfixes to many packages
Steve Robbins - surface code, Debian packaging
John Sled - N3
Jussi Tohka - PVE
Bert Vincent - coded MINC2
Mark Wolforth (wolforthpet.mni.mcgill.ca) - contributed to pages linked at MINC/Tools/emma
Greg Ward (gregbic.mni.mcgill.ca) - contributed to pages linked at MINC/Tools/emma
Alex Zijdenbos - Classify

How to reference MINC

If you need to reference MINC itself in a paper, the best option is to use one of these two web links

  http://www.bic.mni.mcgill.ca/ServicesSoftware
  http://en.wikibooks.org/wiki/MINC

Some standard text you might include:

Medical Imaging NetCDF (MINC) is a medical imaging data format and associated set of tools and libraries developed at the Montreal Neurological Institute (MNI) and freely available online

References for particular tools are given below

classify

classify is a segmentation package that includes the classify_clean script.

The tool classify_clean, which is used to classify stereotaxic MINC volumes, involves a Bayesian labeling scheme and a set of standard sample points to compute an initial volume classification. This classification is then employed to purge incorrect tag points from the standard set, yielding a custom set of labels for the particular subject. Finally, this tag point set is used by an artificial neural net classifier to classify the volume (Zijdenbos et al., 1998).

Zijdenbos, A., Forghani, R., Evans, A., 1998. Automatic quantificationof MS lesions in 3D MRI brain data sets: validation of INSECT. Medical Image Computing and Computer-Assisted Interventation—MICCAI'98, pp. 439–448