Volume rendering of a 3D CT data set

Using IDL to calculate gradients in CT dicom pictures and render the patients surface

Input data are 160 256*256 pixel CT images which form a data cube.

We use the direct 6 neighbours of each voxel to calculate the gray value gradient in all 3 directions. If this gradient is above a certain threshold we have interesting information that we want to display. After we calculated the surface we apply the Phong illumination model.

	surface rendering without light
	applying Phong illumination

rotation of the object

navigation through the data set in z direction

sliding the data set enables the analysis of internal structures

done in co-operation with Daniel Eicke