Revision as of 23:36, 18 November 2009

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Robust Statistics Based Segmentation

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The Approximate volume is just a rough upper limit for the volume. It should be at least the size of the object. This is because when the volume reaches that, the program must stop. However, other criteria may stop the algorithm before the volume reaches this value.
The fiducial points can be thrown into the object. What I do is I just add two fiducial points and move them into the object within one slice.

Several tests are conducted and shown here along with the parameters used to get the results.

Data set: http://wiki.na-mic.org/Wiki/images/0/0f/MayExperiments.zip (DiffusionEditorBaselineNode.nrrd)
Approximate volume: 30 mL
Intensity homogeneity: 0.1

Data set: http://www.spl.harvard.edu/publications/bitstream/download/4217 (case3/grayscale.nrrd)
Approximate volume: 30 mL
Intensity homogeneity: 0.4

Georgia Tech: Yi Gao and Allen Tannenbaum

BWH: Katie Hayes, Andriy Fedorov, and Ron Kikinis

@@ Line 36: / Line 36: @@
 [[Image:RobustStatisticsSegmentation_MayExp_diffusionEditorBaseline.png | Segmentation of brain tumor | 800px]]
+== Testing case: tumor ==
+* Data set: http://www.spl.harvard.edu/publications/bitstream/download/4217 (case3/grayscale.nrrd)
+* Approximate volume: 30 mL
+* Intensity homogeneity: 0.4
+[[Image:RobustStatisticsSegmentation_TumerBase_3.png | Segmentation of brain tumor | 800px]]
 == Key Investigators ==