fastMarchingExtension: Fast Marching Extension filter will extend an intensity or...

In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Description

This in an implementation of ITK's FastMarchingExtensionImageFilter - From http://www.itk.org/Doxygen/html/classitk_1_1FastMarchingExtensionImageFilter.html - Fast marching can be used to extend auxiliary variables smoothly from the zero level set. Starting from an initial position on the front, this class simultaneously calculate the signed distance and extend a set of auxiliary values. Implemenation of this class is based on Chapter 11 of "Level Set Methods and Fast Marching Methods", J.A. Sethian, Cambridge Press, Second edition, 1999.

Usage

fastMarchingExtension(speedImage, labelImage, valueImage)

Arguments

speedImage	defines the cost or distance function
labelImage	defines the known (value 1) and unknown (value 2) regions
valueImage	these values are extended into the unknown regions

Value

antsImage

Author(s)

Duda, JT

Examples

img = makeImage( c( 7, 7 ) , 0 )
img[3:5,3:5]=1:9
mask = getMask( img )
mask[ mask == 0 ] = 2
speed = smoothImage( mask, 1 )
extendedImg = fastMarchingExtension( speed, mask, img )

neuroconductor-devel/ANTsR documentation built on April 1, 2021, 1:02 p.m.