Neuro Image Research and Analysis Laboratory
Apache License 2.0
Yes
University of North Carolina at Chapel Hill
NITRC
shapeAnalysisMANCOVA - SPHARM tools
MacOS, POSIX/UNIX-like
Yes
C++
Juan Prieto
shapeAnalysisMANCOVA offers statistical shape analysis based on a parametric boundary description (SPHARM) as the point-based model computing method. The point-based models will be analyzed with the methods here proposed using multivariate analysis of covariance (MANCOVA). Here, the number of variates being tested is the dimensionality of our observations. Each point of these observations is a three dimensional displacement vector from the mean. The number of contrasts is the number of equations involved in the null-hypothesis. In order to encompass varying numbers of variates and contrasts, and to account for independent variables, a matrix computation is performed. This matrix represents the multidimensional aspects of the correlation significance and it can be transformed into a scalar measure by manipulation of its eigenvalues.
Details of the methods can be found in its Insight Journal publication: http://hdl.handle.net/10380/3124
shapeAnalysisMANCOVA - SPHARM tools
Statistical Operation, Surface Analysis, Spherical Harmonics, 5 - Production/Stable/Mature, MR, Console (Text Based), Developers, End Users, Apache License 2.0, English, MacOS, POSIX/UNIX-like, C++
http://www.nitrc.org/projects/shape_mancova/, http://www.nitrc.org/projects/shape_mancova/
jprieto@med.unc.edu