Package: mritc 0.5-3

mritc: MRI Tissue Classification

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.

Authors:Dai Feng [aut], Luke Tierney [aut], Jon Clayden [cre, aut]

mritc_0.5-3.tar.gz
mritc_0.5-3.zip(r-4.7-x86_64)mritc_0.5-3.zip(r-4.6-x86_64)mritc_0.5-3.zip(r-4.5-x86_64)
mritc_0.5-3.tgz(r-4.6-x86_64)mritc_0.5-3.tgz(r-4.6-arm64)mritc_0.5-3.tgz(r-4.5-x86_64)mritc_0.5-3.tgz(r-4.5-arm64)
mritc_0.5-3.tar.gz(r-4.7-arm64)mritc_0.5-3.tar.gz(r-4.7-x86_64)mritc_0.5-3.tar.gz(r-4.6-arm64)mritc_0.5-3.tar.gz(r-4.6-x86_64)
mritc_0.5-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mritc/json (API)

# Install 'mritc' in R:

install.packages('mritc', repos = c('https://jonclayden.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jonclayden/mritc/issues

Uses libs:

openmp– GCC OpenMP (GOMP) support library

On CRAN:

classification mri segmentation openmp

2.78 score 1 stars 12 scripts 210 downloads 14 exports 5 dependencies

Last updated from:1072e1401f. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	178
linux-devel-x86_64	OK	162
source / vignettes	OK	167
linux-release-arm64	OK	162
linux-release-x86_64	OK	153
macos-release-arm64	OK	136
macos-release-x86_64	OK	251
macos-oldrel-arm64	OK	105
macos-oldrel-x86_64	OK	281
windows-devel-x86_64	OK	127
windows-release-x86_64	OK	120
windows-oldrel-x86_64	OK	121
wasm-release	OK	132

Exports:emnormmix initOtsu initProp makeMRIspatial measureMRI mritc mritc.bayes mritc.em mritc.hmrfem mritc.icm mritc.pvhmrfem readMRI rnormmix writeMRI

Dependencies:abind bitops oro.nifti Rcpp RNifti

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
MRI Tissue Classification Package	mritc-package
Estimate the Parameters of a Normal Mixture Model Using the EM Algorithm	emnormmix
Get the Initial Estimate of the Parameters of a Normal Mixture Model	initOtsu initProp
Obtain Spatial Features of a Mask of an MR Image	makeMRIspatial
Compare the Predicted Classsification Results with the Truth	measureMRI
MRI Tissue Classification Using Various Methods	mritc mritc.bayes mritc.em mritc.hmrfem mritc.icm mritc.pvhmrfem
Plot Method for Class "mritc"	plot.mritc
Print Method for Class "mritc"	print.mritc
Read an MR Image into an Array	readMRI
Generate Random Samples from a Normal Mixture Model	rnormmix
Summary Method for Class "mritc"	summary.mritc
Write an MR Image	writeMRI