Program: gdcm
Module: $RCSfile: gdcmSerieHelper.cxx,v $
Language: C++
- Date: $Date: 2006/02/16 20:06:15 $
- Version: $Revision: 1.47 $
+ Date: $Date: 2006/03/30 16:41:22 $
+ Version: $Revision: 1.48 $
Copyright (c) CREATIS (Centre de Recherche et d'Applications en Traitement de
l'Image). All rights reserved. See Doc/License.txt or
// Private
/**
* \brief sorts the images, according to their Patient Position.
- *
+ * As a side effect, it computes the ZSpacing, according to Jolinda Smith'
+ * algorithm. (get it with double GetZSpacing() !)
* We may order, considering :
* -# Image Position Patient
* -# Image Number
bool SerieHelper::ImagePositionPatientOrdering( FileList *fileList )
//based on Jolinda Smith's algorithm
{
+gdcmDebugMacro( "In ImagePositionPatientOrdering()" << std::endl );
+std::cout << "In ImagePositionPatientOrdering()" << std::endl;
+//Tags always use the same coordinate system, where "x" is left
+//to right, "y" is posterior to anterior, and "z" is foot to head (RAH).
+
//iop is calculated based on the file file
float cosines[6];
double normal[3];
double dist;
double min = 0, max = 0;
bool first = true;
+ ZSpacing = -1.0; // will be updated if process doesn't fail
std::multimap<double,File *> distmultimap;
// Use a multimap to sort the distances from 0,0,0
if ( first )
{
(*it)->GetImageOrientationPatient( cosines );
-
+
+ // The "Image Orientation Patient" tag gives the direction cosines
+ // for the rows and columns for the three axes defined above.
+ // Typical axial slices will have a value 1/0/0/0/1/0:
+ // rows increase from left to right,
+ // columns increase from posterior to anterior. This is your everyday
+ // "looking up from the bottom of the head with the eyeballs up" image.
+
+ // The "Image Position Patient" tag gives the coordinates of the first
+ // voxel in the image in the "RAH" coordinate system, relative to some
+ // origin.
+
+ // First, calculate the slice normal from IOP :
+
// You only have to do this once for all slices in the volume. Next,
// for each slice, calculate the distance along the slice normal
// using the IPP ("Image Position Patient") tag.
normal[0] = cosines[1]*cosines[5] - cosines[2]*cosines[4];
normal[1] = cosines[2]*cosines[3] - cosines[0]*cosines[5];
normal[2] = cosines[0]*cosines[4] - cosines[1]*cosines[3];
-
+
+ // For each slice (here : the first), calculate the distance along
+ // the slice normal using the IPP tag
+
ipp[0] = (*it)->GetXOrigin();
ipp[1] = (*it)->GetYOrigin();
ipp[2] = (*it)->GetZOrigin();
}
else
{
+ // Next, for each slice, calculate the distance along the slice normal
+ // using the IPP tag
ipp[0] = (*it)->GetXOrigin();
ipp[1] = (*it)->GetYOrigin();
ipp[2] = (*it)->GetZOrigin();
return false;
}
+// Now, we could calculate Z Spacing as the difference
+// between the "dist" values for the first two slices.
+
+// The following (un)-commented out code is let here
+// to be re-used by whomsoever is interested...
+
+ std::multimap<double, File *>::iterator it5 = distmultimap.begin();
+ double d1 = (*it5).first;
+ it5++;
+ double d2 = (*it5).first;
+ ZSpacing = d1-d2;
+ if (ZSpacing < 0.0)
+ ZSpacing = - ZSpacing;
+
fileList->clear(); // doesn't delete list elements, only nodes
+// Acording to user requierement, we sort direct order or reverse order.
if (DirectOrder)
{
for (std::multimap<double, File *>::iterator it3 = distmultimap.begin();