论文信息 - Package ‘ mritc ’ May 27 , 2018

Package ‘ mritc ’ May 27 , 2018

May 27, 2018 Title MRI Tissue Classification Version 0.5-1 Author Dai Feng and Luke Tierney Description Various methods for MRI tissue classification. Maintainer Dai Feng <dai_feng@merck.com> 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) License GPL NeedsCompilation yes Repository CRAN Date/Publication 2018-05-27 13:56:15 UTC

L. Tierney

[1] Dai Feng,et al. mritc: A Package for MRI Tissue Classification , 2011 .

[2] Meritxell Bach Cuadra,et al. Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images , 2005, IEEE Transactions on Medical Imaging.

[3] Dong Liang,et al. A unified Bayesian hierarchical model for MRI tissue classification , 2014, Statistics in medicine.

[4] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .

[5] Luke Tierney,et al. MRI Tissue Classification Using High-Resolution Bayesian Hidden Markov Normal Mixture Models , 2012 .

[6] Dai Feng,et al. Bayesian hidden Markov normal mixture models with application to MRI tissue classification , 2008 .

[7] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.