voxel_select: Select Potential Voxels
In sublime: Automatic Lesion Incidence Estimation and Detection using Multi-Modality Longitudinal Magnetic Resonance Images
Description
Usage
Arguments
Value
See Also
Description
Takes the difference in T2 images, smoothes this
difference, and then finds voxels greater than one SD of the
smooothed mask as potential voxels and returns it
Usage
1
2
voxel_select(normalized_baseline_t2, normalized_follow_up_t2, brain_mask,
sigma = diag(3, 3), ksize = 5)
Arguments
normalized_baseline_t2
Baseline T2 image, array or object class nifti that
normalized_follow_up_t2
Followup T2 image, array or object class nifti that
brain_mask
A 3D 0-1 mask that delimits where the smoothing occurs, passed to GaussSmoothArray
sigma
Sigma passed to GaussSmoothArray
ksize
Kernel size passed to GaussSmoothArray
Value
Array or object class nifti depending on imput iamges
See Also
GaussSmoothArray
sublime documentation built on May 1, 2019, 11:31 p.m.
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Description Usage Arguments Value See Also
Description
Takes the difference in T2 images, smoothes this difference, and then finds voxels greater than one SD of the smooothed mask as potential voxels and returns it
Usage
1 2 | voxel_select(normalized_baseline_t2, normalized_follow_up_t2, brain_mask,
sigma = diag(3, 3), ksize = 5)
|
Arguments
normalized_baseline_t2 |
Baseline T2 image, array or object class nifti that |
normalized_follow_up_t2 |
Followup T2 image, array or object class nifti that |
brain_mask |
A 3D 0-1 mask that delimits where the smoothing occurs, passed to |
sigma |
Sigma passed to |
ksize |
Kernel size passed to |
Value
Array or object class nifti depending on imput iamges
See Also
GaussSmoothArray
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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