Centroid Voxel/Coordinates Intensity Value Measurement - Is it possible?

Support
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Solution:

  1. I used LabelmapSegmentStatistics to pull the centroid for each segment in the Segmentation
  2. Then I used the centroid coordinates to generate new spherical segments with a 1mm diameter (or radius?)
  3. These can be used with Segment statistics to query core lesion locations based on anatomical atlases
#  Pull Centroids and generate 1mm spheric lesions in centroid for anatomical assessment 
# Adjust name for "Segmentation" and "Volume" as needed

import numpy as np
import SegmentStatistics
segmentationNode = slicer.util.getNode("Segmentation")
volume_node = slicer.util.getNode("Volume")
segmentation = segmentationNode.GetSegmentation()
segnum = segmentation.GetNumberOfSegments()
for i in range(segnum):
    segment = segmentation.GetNthSegment(i) 
    segmentId = segmentationNode.GetSegmentation().GetSegmentIdBySegment(segment)
    segmentName = segment.GetName()
    segStatLogic = SegmentStatistics.SegmentStatisticsLogic()
    segStatLogic.getParameterNode().SetParameter("Segmentation", segmentationNode.GetID())
    segStatLogic.getParameterNode().SetParameter("LabelmapSegmentStatisticsPlugin.centroid_ras.enabled", str(True))
    segStatLogic.computeStatistics()
    stats = segStatLogic.getStatistics()
    print(segmentName)
    centroid_ras = stats[segmentId,"LabelmapSegmentStatisticsPlugin.centroid_ras"]
    print(centroid_ras)
    tumorCentroid = vtk.vtkSphereSource()
    tumorCentroid.SetCenter(centroid_ras)
    tumorCentroid.SetRadius(1)
    tumorCentroid.Update()
    CentroidSegmentName = segmentName + "-centroid"
    segmentId = segmentationNode.AddSegmentFromClosedSurfaceRepresentation(tumorCentroid.GetOutput(), CentroidSegmentName, [1.0,0.0,0.0])
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