voxel_select

Baseline T2 image, array or object class nifti that

normalized_baseline_t2

Followup T2 image, array or object class nifti that

normalized_follow_up_t2

A 3D 0-1 mask that delimits where the smoothing occurs, passed to <code><a rd-options="" href="/link/GaussSmoothArray?package=sublime&version=1.3" data-mini-rdoc="sublime::GaussSmoothArray">GaussSmoothArray</a></code>

brain_mask

Sigma passed to <code><a rd-options="" href="/link/GaussSmoothArray?package=sublime&version=1.3" data-mini-rdoc="sublime::GaussSmoothArray">GaussSmoothArray</a></code>

sigma

Kernel size passed to <code><a rd-options="" href="/link/GaussSmoothArray?package=sublime&version=1.3" data-mini-rdoc="sublime::GaussSmoothArray">GaussSmoothArray</a></code>

ksize


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


selection

Voxel

Creates probability maps of incident and enlarging lesion voxels
from a baseline and followup magnetic resonance imaging study in
patients with multiple sclerosis.

Elizabeth M. Sweeney

sublime

Automatic Lesion Incidence Estimation and Detection using
Multi-Modality Longitudinal Magnetic Resonance Images

voxel_select function

A 3D 0-1 mask that delimits where the smoothing occurs, passed to <code><a rd-options='' href='GaussSmoothArray'>GaussSmoothArray</a></code>

Sigma passed to <code><a rd-options='' href='GaussSmoothArray'>GaussSmoothArray</a></code>

Kernel size passed to <code><a rd-options='' href='GaussSmoothArray'>GaussSmoothArray</a></code>

voxel_select: Select Potential Voxels

Description

Usage

Arguments

Value

See Also