Difference between revisions of "EM Segmentation For Orthopaedic Applications"
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**Summer of 2008 - Tutorial will be developed by Austin Ramme | **Summer of 2008 - Tutorial will be developed by Austin Ramme | ||
* Determine if registration tools in Slicer are adequate for this work. | * Determine if registration tools in Slicer are adequate for this work. | ||
+ | * Manuscript currently in preparation: ''Automated Phalanx Bone Segmentation Using the Expectation Maximization Algorithm'' | ||
'''Key Investigators:''' | '''Key Investigators:''' |
Revision as of 00:15, 7 January 2008
Home < EM Segmentation For Orthopaedic ApplicationsObjective:
- 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
- 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.
- Probability map information was created from a single subject used as the atlas image and filtered using a Gaussian filter.
- Initial evaluation has been performed
- Reliability assessed on fourteen specimens that also had the index finger segmented, and two specimens that had the index, middle, ring and little fingers manually segmented
- Validation assessed using the laser scanning of the index finger (proximal, middle, and distal) phalanx bones in five specimens
- Work is underway to develop a Slicer2.7 tutorial for this segmentation (File:Draft EM Segment Tutorial 9 12.pdf)
Results:
Finger | Phalanx Segment | Average Relative Overlap |
---|---|---|
Index (14 subjects) | Proximal | 0.87 |
Medial | 0.80 | |
Distal | 0.70 | |
Middle (2 subjects) | Proximal | 0.79 |
Medial | 0.77 | |
Distal | 0.71 | |
Ring (2 subjects) | Proximal | 0.76 |
Medial | 0.82 | |
Distal | 0.80 | |
Pinky (2 subjects) | Proximal | 0.70 |
Medial | 0.73 | |
Distal | 0.72 |
- Example of Validation Results is shown below in the figures
To Do:
- Evaluate the Slicer3 EM Segmentation Module
- Example datasets sent to Brad Davis for evaluation of the Slicer3 EM Segmentation for non-neuro applications
- Discussion of the results will take place at 2008 AHM
- Update the the tutorial to support the Slicer3 Workflow
- Summer of 2008 - Tutorial will be developed by Austin Ramme
- Determine if registration tools in Slicer are adequate for this work.
- Manuscript currently in preparation: Automated Phalanx Bone Segmentation Using the Expectation Maximization Algorithm
Key Investigators:
- Iowa: Austin Ramme, Nicole Grosland, and Vincent Magnotta
Links:
Figures: