niftkMTPDbc.cxx File Reference

Include dependency graph for niftkMTPDbc.cxx:

Enumerations
enum	{   O_INT_RADIUS =0, O_INT_MODE, O_INT_EXPANSION, O_FLOAT_BSPLINE,   O_FILENAME, O_MORE }

Functions
int	main (int argc, char **argv)
	Differential bias correction. More...

Variables
struct niftk::CommandLineArgumentDescription	clArgList []

Enumeration Type Documentation

anonymous enum

Enumerator
O_INT_RADIUS
O_INT_MODE
O_INT_EXPANSION
O_FLOAT_BSPLINE
O_FILENAME
O_MORE

Function Documentation

int main	(	int	argc,
		char **	argv
	)

Differential bias correction.

Implements "Correction of differential intensity inhomogeneity in longitudinal MR images", Lewis and Fox, 2004, NeuroImage.

Tries to put the bias of multiple time ponits into the "middle".

Variable Documentation

struct niftk::CommandLineArgumentDescription clArgList[]

Initial value:

= {

  {OPT_INT, "radius", "value", "Radius of the median filter. Default: 5"},
  
  {OPT_INT, "mode", "value", "Determine how the differential bias fields of non-consecutive time-points are calculated. 1: from the images, 2: compose from the differential bias fields of consecutive time-points. Default: 1"},

  {OPT_INT, "expansion", "value", "Expand the bounding box of the union of the masks by the given number of voxels. Default: 5"},

  {OPT_FLOAT, "bspline", "value", "Use bspline with the specified control point spacing in mm, e.g. 2mm. Default: 0 for not using bspline"},
  
  {OPT_STRING|OPT_LONELY, NULL,  "filename", "Input image 1, input mask 1, output image 1, input image 2, input mask 2, output image 2,..."},
  
  {OPT_MORE, NULL, "...", NULL},

  {OPT_DONE, NULL, NULL, "Perform the differential bias correction on the two images."}
   
}