I have 14 sets of 3D points where each set represents a sub-nucleus of a region in the brain. I'd like to do two things with this data:
1. Create volumes (not surfaces!) of each sub-nuclei data set
2. Plot all 14 volumes at once, and view (orthogonal) slices at whatever X-value (for YZ, or Sagittal Images), Y-value (for XZ, or Coronal Images), or Z-value (for XY, or Axial images) I choose.
So far, I've done this by generating Delaunay Triangulations, and changing the limits of the axes. However, the resulting plots are quite messy. I dislike being able to see the lines that show the triangles. The sub-nuclei are color-coded, so I'd rather not see any connectivity lines. Is there a cleaner, smoother way of doing this?
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