t1_pn3_rf0_slice_0092: Example of a pre-processed MRI slice from the BrainWeb...
In dpmixsim: Dirichlet Process Mixture model simulation for clustering and image segmentation
Description
Usage
Format
References
Description
The file ‘t1_pn3_rf0_slice_0092.nii.gz’ is a pre-processed image of slice 92 with 3% noise extracted from the Brainweb database file ‘t1_icbm_normal_1mm_pn3_rf0\[1\].mnc.gz’.
BrainWeb simulations are based on an anatomical model of normal brain, which can serve as the ground truth for any analysis procedure.
BrainWeb datasets and are provided by the McConnell Brain Imaging Center at the Montreal Neurological Institute, http://www.bic.mni.mcgill.ca/, (see Collins et. al. 1998).
Usage
1
slicedata <- read.sliceimg(fbase="t1_pn3_rf0", swap = TRUE)
Format
The file ‘t1_pn3_rf0_slice_0092.ni.gz’ is in gzipped NIFTI format.
The R-package oro.nifti is required to read gzipped NIFTI files.
References
D.L. Collins, et.al., Design and construction of a realistic digital brain
phantom, IEEE Trans. on Medical Imaging 17~(3) (1998) 463-468.
S.M. Smith, et. al., Advances in Functional and Structural MR Image Analysis and
Implementation as FSL, NeuroImage, 23(S1):208-219, 2004.
Brandon Whitcher, Volker Schmid and Andrew Thornton, Package oro.nifti:
Rigorous - NIfTI Input / Output, 2010.
dpmixsim documentation built on May 2, 2019, 5:45 p.m.
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Description Usage Format References
Description
The file ‘t1_pn3_rf0_slice_0092.nii.gz’ is a pre-processed image of slice 92 with 3% noise extracted from the Brainweb database file ‘t1_icbm_normal_1mm_pn3_rf0\[1\].mnc.gz’. BrainWeb simulations are based on an anatomical model of normal brain, which can serve as the ground truth for any analysis procedure. BrainWeb datasets and are provided by the McConnell Brain Imaging Center at the Montreal Neurological Institute, http://www.bic.mni.mcgill.ca/, (see Collins et. al. 1998).
Usage
1 | slicedata <- read.sliceimg(fbase="t1_pn3_rf0", swap = TRUE)
|
Format
The file ‘t1_pn3_rf0_slice_0092.ni.gz’ is in gzipped NIFTI format. The R-package oro.nifti is required to read gzipped NIFTI files.
References
D.L. Collins, et.al., Design and construction of a realistic digital brain phantom, IEEE Trans. on Medical Imaging 17~(3) (1998) 463-468.
S.M. Smith, et. al., Advances in Functional and Structural MR Image Analysis and Implementation as FSL, NeuroImage, 23(S1):208-219, 2004.
Brandon Whitcher, Volker Schmid and Andrew Thornton, Package oro.nifti: Rigorous - NIfTI Input / Output, 2010.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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