Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization

Algorithm 1

Region space guided visualization.

   Input: Anisotropic diffused volume data.

   Output: Visualization result of biomedical volume data.

1 for each voxel p(x,y,z)  do

2   chose adjacent voxels in the region space ;

3   calculate the intensity median of ;

4   calculate the variance of ;

5   set the value of estimation radius ;

6   if   then

7    p is marked as an inner voxel;

8    ;

9   else

10     is considered to be the boundary voxel;

11    use the second order Runge-Kutta method to search FL and FH value of ;

12 end

13 end

14 compute the depth information for each voxel;

15 construct the depth LH histogram and design the transfer function;

16 visualize the volume data according to the transfer function;