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.

Version: 0.5-3
Depends: R (≥ 2.14.0), lattice (≥ 0.18-8), misc3d (≥ 0.8-1), oro.nifti (≥ 0.4.0)
Imports: methods
Suggests: tkrplot (≥ 0.0-23)
Published: 2023-01-27
DOI: 10.32614/CRAN.package.mritc
Author: Dai Feng [aut], Luke Tierney [aut], Jon Clayden ORCID iD [cre, aut]
Maintainer: Jon Clayden <code at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Citation: mritc citation info
Materials: ChangeLog
In views: MedicalImaging
CRAN checks: mritc results


Reference manual: mritc.pdf


Package source: mritc_0.5-3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: mritc archive


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