RobustStatisticsSegmentation

From NAMIC Wiki
Jump to: navigation, search
Home < RobustStatisticsSegmentation

Robust Statistics Based Segmentation

Description

How to get the module

  1. Start Slicer 3.5
  2. open View->Extension Manager
  3. Check "Find & Install", click "Next"
  4. in the list, select "LocalRegionalSegModule", then "Download & Install", and "Next"
  5. Slicer will ask to restart, confirm.
  6. After restarts, the module is in Module category: "Segmentation-->Localized Region-based Segmentation"

Usage

Module parameters ---> Adv Module parameters ---> Adv Module parameters

  • Note:
  1. 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.
  2. 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.

Testing

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

Testing case: left kidney

Segmentation of left kidney


Testing case: tumor

Segmentation of brain tumor


Testing case: tumor

Segmentation of brain tumor

Testing case: tumor

This is a difficult case. All the other methods tested either captures only the middle dark spot, or leaks out of the tumor. But the method here nicely capture both the dark core and the bright shell, without leaking out to regions with intensities in the middle.

Segmentation of brain tumor


Testing case: vervet brain

Previous tests all run with two fiducial points, and running time are all less than 10 seconds. This case has 6 points and runs for 15min to get the result shown.

Segmentation of vervet brain

Key Investigators

Georgia Tech: Yi Gao and Allen Tannenbaum

BWH: Katie Hayes, Andriy Fedorov, and Ron Kikinis