MRI Tissue Classification
Estimate the Parameters of a Normal Mixture Model Using the EM Algorit...
Get the Initial Estimate of the Parameters of a Normal Mixture Model
Obtain Spatial Features of a Mask of an MR Image
Compare the Predicted Classsification Results with the Truth
MRI Tissue Classification Package
MRI Tissue Classification Using Various Methods
Plot Method for Class "mritc"
Print Method for Class "mritc"
Read an MR Image into an Array
Generate Random Samples from a Normal Mixture Model
Summary Method for Class "mritc"
Write an MR Image
Implements various methods for tissue classification in magnetic resonance (MR) images of the brain, including normal mixture models and hidden Markov normal mixture models, as outlined in Feng & Tierney (2011) <doi:10.18637/jss.v044.i07>. These methods allow a structural MR image to be classified into gray matter, white matter and cerebrospinal fluid tissue types.