Package: mritc 0.5-3
Jon Clayden
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:
mritc_0.5-3.tar.gz
mritc_0.5-3.tar.gz(r-4.5-noble)mritc_0.5-3.tar.gz(r-4.4-noble)
mritc_0.5-3.tgz(r-4.4-emscripten)mritc_0.5-3.tgz(r-4.3-emscripten)
mritc.pdf |mritc.html✨
mritc/json (API)
| # Install 'mritc' in R: |
| install.packages('mritc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jonclayden/mritc/issues
Last updated 2 years agofrom:4a0523d557. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 20 2024 |
| R-4.5-linux-x86_64 | OK | Sep 20 2024 |
Exports:emnormmixinitOtsuinitPropmakeMRIspatialmeasureMRImritcmritc.bayesmritc.emmritc.hmrfemmritc.icmmritc.pvhmrfemreadMRIrnormmixwriteMRI
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 |
