oasis: Multiple Sclerosis Lesion Segmentation using Magnetic Resonance Imaging (MRI)

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Trains and makes predictions from the OASIS method, described in detail in the paper "OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI" <doi:10.1016/j.nicl.2013.03.002>. OASIS is a method for multiple sclerosis (MS) lesion segmentation on structural magnetic resonance image (MRI) studies. OASIS creates probability maps of lesion presence using the FLAIR, T2, T1, and PD structural MRI volumes. This packages allows for training of the OASIS model and prediction of OASIS probability maps from a trained model with user supplied studies that have a gold standard lesion segmentation masks. The package will also create OASIS probability maps for MRI studies using the OASIS model from the OASIS paper if no gold standard lesion segmentation masks are available.

Author
Elizabeth M. Sweeney [aut, cre], John Muschelli [aut], R. Taki Shinohara [aut]
Date of publication
2016-09-29 23:58:02
Maintainer
Elizabeth M. Sweeney <emsweene@jhsph.edu>
License
GPL-2
Version
2.1

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Man pages

correct_image_dim
Image Dimension Correction
oasis_erode
OASIS Erode Mask
oasis_model
OASIS glm Object
oasis_predict
OASIS Prediction
oasis_preproc
OASIS Image Preprocessing
oasis_train_dataframe
OASIS Training Data Frame
oasis_training
OASIS Training
voxel_selection
Voxel Selection Procedure

Files in this package

oasis
oasis/inst
oasis/inst/CITATION
oasis/NAMESPACE
oasis/data
oasis/data/oasis_model.rda
oasis/R
oasis/R/oasis_erode.R
oasis/R/voxel_selection.R
oasis/R/oasis_training.R
oasis/R/oasis_model.R
oasis/R/correct_image_dim.R
oasis/R/oasis_preproc.R
oasis/R/oasis_predict.R
oasis/R/oasis_train_dataframe.R
oasis/MD5
oasis/DESCRIPTION
oasis/man
oasis/man/oasis_training.Rd
oasis/man/oasis_erode.Rd
oasis/man/correct_image_dim.Rd
oasis/man/oasis_predict.Rd
oasis/man/oasis_train_dataframe.Rd
oasis/man/oasis_preproc.Rd
oasis/man/voxel_selection.Rd
oasis/man/oasis_model.Rd