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mritc (version 0.5-3)

MRI Tissue Classification

Description

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) . These methods allow a structural MR image to be classified into gray matter, white matter and cerebrospinal fluid tissue types.

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Install

install.packages('mritc')

Monthly Downloads

213

Version

0.5-3

License

GPL

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Last Published

January 27th, 2023

Functions in mritc (0.5-3)

measureMRI

Compare the Predicted Classsification Results with the Truth
readMRI

Read an MR Image into an Array
initNormMix

Get the Initial Estimate of the Parameters of a Normal Mixture Model
makeMRIspatial

Obtain Spatial Features of a Mask of an MR Image
mritc

MRI Tissue Classification Using Various Methods
plot.mritc

Plot Method for Class "mritc"
mritc-package

MRI Tissue Classification Package
rnormmix

Generate Random Samples from a Normal Mixture Model
writeMRI

Write an MR Image
print.mritc

Print Method for Class "mritc"
summary.mritc

Summary Method for Class "mritc"
emnormmix

Estimate the Parameters of a Normal Mixture Model Using the EM Algorithm