I’ve downloaded your images and used this script to convert it to add an alpha channel and enable direct RGBA volume rendering (just copy-paste it into Slicer’s Python console after you loaded your data set):
# Find loaded vector volume
colorVolume = slicer.mrmlScene.GetFirstNodeByClass("vtkMRMLVectorVolumeNode")
# Convert RGB image to RGBA
luminance = vtk.vtkImageLuminance()
luminance.SetInputConnection(colorVolume.GetImageDataConnection())
append=vtk.vtkImageAppendComponents()
append.AddInputConnection(colorVolume.GetImageDataConnection())
append.AddInputConnection(luminance.GetOutputPort())
append.Update()
colorVolume.SetAndObserveImageData(append.GetOutput())
# Enable volume rendering
volRenLogic = slicer.modules.volumerendering.logic()
displayNode = volRenLogic.CreateDefaultVolumeRenderingNodes(colorVolume)
displayNode.SetVisibility(True)
# Enable direct RGBA color mapping
displayNode.GetVolumePropertyNode().GetVolumeProperty().SetIndependentComponents(0)
After slightly adjusting scalar opacity mapping in Volume rendering module and changing background to black I got this beautiful rendering:
A video created by Screen Capture module:
We plan to release Slicer5 soon and looking for nice images that could demonstrate capabilities of the application. Would you consider allowing this data set to be showcased as an image or video (with proper acknowledgments and reference to publication)?