reapply_malf_tissue_seg: MALF tissue Segmentation without Re-registration

In muschellij2/msseg: Segmentation of Lesions for Multiple Sclerosis

Description

Uses MALF for tissue-class segmentation, but with already-done registrations

Usage

reapply_malf_tissue_seg(t1, regs, outfile = NULL, num_templates = 15,
  interpolator = "NearestNeighbor", typeofTransform = "SyN",
  func = "mode", verbose = TRUE, ...)

Arguments

t1	T1-weighted image/filename
regs	List of registrations from malf or malf_registration, each element must have fwdtransforms and interpolator. Length must match num_templates.
outfile	Output filename
num_templates	Number of templates to use for MALF
interpolator	Interpolation used
typeofTransform	Transformation to align the templates to the T1
func	Function used to vote
verbose	Print diagnostic messages
...	additional options to pass to reapply_malf

Value

Object of class nifti

muschellij2/msseg documentation built on May 23, 2019, 9:53 a.m.