EM Segmentation For Orthopaedic Applications

Objective:

• To utilize the Slicer3 Expectation Maximization Algorithm for segmentation of the phalanx bones of the hand.

Progress:

• We have utilized the Slicer2.7 EM Segmentation Module for segmentation of the phalanx bones
  1. Registration was performed outside of SLicer using ITK registration algorithms that are available in the IaFeMesh software. This includes Thin plate spline, B-Spline and rigid registration algorithms.
  2. Probability map information was created from a single subject used as the atlas image and filtered using a Gaussian filter.
• Initial evaluation has been carried out on five subjects that also had been segmented using manual segmentation
• Work is underway to develop a Slicer2.7 tutorial for this segmentation

To Do:

• Evaluate the Slicer3 EM Segmentation Module
• Update the the tutorial to support the Slicer3 Workflow
• Determine if registration tools in Slicer are adequate for this work.

Key Investigators:

• Iowa: Austin Ramme, Nicole Grosland, and Vincent Magnotta

Links:

• Musculoskeletal Imaging, Modelling and Experimentation (MIMX)

Figures:

Surface models from EM Segmentation generated via Slicer3

Results of the EM Segmentation for the Proximal Pahalanx