NorMITnav
16.5
An IGT application

Standard filters.
This filter dilates a binary volume with a given radius in mm.
The dilation is performed using a ball structuring element.
Find the surface of a binary volume using marching cubes.
Resample the volume into the space of the reference volume. Also crop to the same volume.
Wrapper for a itk::SmoothingRecursiveGaussianImageFilter.
Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This filter is implemented using the recursive gaussian filters.
Segment out areas from the selected image using a threshold.
This filter produces an output image whose pixels are either one of two values ( OutsideValue or InsideValue ), depending on whether the corresponding input image pixels lie between the two thresholds ( LowerThreshold and UpperThreshold ). Values equal to either threshold is considered to be between the thresholds.
Wrapper for a itk::BinaryThinningImageFilter3D.
This filter computes onepixelwide skeleton of a 3D input image.
This class is parametrized over the type of the input image and the type of the output image.
The input is assumed to be a binary image. All nonzero valued voxels are set to 1 internally to simplify the computation. The filter will produce a skeleton of the object. The output background values are 0, and the foreground values are 1.
A 26neighbourhood configuration is used for the foreground and a 6neighbourhood configuration for the background. Thinning is performed symmetrically in order to guarantee that the skeleton lies medial within the object.
This filter is a parallel thinning algorithm and is an implementation of the algorithm described in:
T.C. Lee, R.L. Kashyap, and C.N. Chu. Building skeleton models via 3D medial surface/axis thinning algorithms. Computer Vision, Graphics, and Image Processing, 56(6):462478, 1994.