CCSeg - Corpus Callosum Segmentation
CCSeg is an open-source C++-based application developed at UNC-Chapel Hill that allows automatic as well as user-interactive segmentation of the Corpus Callosum. Via a Qt-based graphical user interface, CCSeg also performs semi-automatic segmentation.
Descriptions of methods:
Media 1997: G. Szekely, A. Kelemen, C. Brechbühler, and G. Gerig, “Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models.,” Med Image Anal, vol. 1, no. 1, pp. 19–34, Mar. 1996.
recent SPIE article: http://www.nitrc.org/docman/view.php/466...
Recent Activity - Documents
Automated measurement of the human corpus callosum using MRI. posted by NITRC Moderator on Sep 21, 2019
Neuroplasticity and cellular resilience in mood disorders. posted by NITRC Moderator on Dec 16, 2017
New insights into the functions of the superior temporal cortex. posted by NITRC Moderator on Dec 16, 2017