Integration of Neural Network Algorithms
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Objective:
- Integrate artificial neural network segmentation into the NA-MIC kit for segmentation of upper extremity regions of interest.
Progress:
- Base algorithm has been developed using the annie neural network library
- Segmentation algorithm has been applied to segmentation of the phalanx bones on the index finger
- Paper has been published on this initial work
To Do:
- Initial evaluation of this technique has been performed for phalanx bones.
- Need to rework ITK neural network libraries to allow the size of the network to be dynamic configured at run time instead of compile time
- There are several issues that neeed to be resolved regarding the Neural network I/O in ITK
- Consider the inclusion of the old ANN code that existed in the BRAINS software
Key Investigators:
- Iowa: Nicole DeVries, Nicole Grosland, Vincent Magnotta
Results
| Subject | Proximal Phalanx | Middle Phalanx | Distal Phalanx |
|---|---|---|---|
| 1 | 0.91 | 0.79 | 0.79 |
| 2 | 0.91 | 0.88 | 0.84 |
| 3 | 0.85 | 0.83 | 0.78 |
| 4 | 0.86 | 0.81 | 0.68 |
| 5 | 0.84 | 0.78 | 0.72 |
| Average | 0.87 | 0.82 | 0.76 |
| Subject | Proximal Phalanx (mm) | Middle Phalanx (mm) | Distal Phalanx (mm) |
|---|---|---|---|
| 1 | 0.23 | 0.12 | 0.17 |
| 2 | 0.18 | 0.16 | 0.16 |
| 3 | 0.35 | 0.27 | 0.97 |
| 4 | 0.26 | 0.17 | 0.20 |
| Bone Average | 0.26 | 0.18 | 0.38 |
Links:
- Automated Bony Region Identification Using Artificial Neural Networks: Reliability and Validation Measurements. Esther E. Gassman, Stephanie M. Powell, Nicole A. Kallemeyn, Kiran H. Shivanna, Vincent A. Magnotta, Brian D. Adams, Nicole M. Grosland. Skeletal Radiology
- Musculoskeletal Imaging, Modeling and Experimentation (MIMX)
Figures: [[Image::ANN-Segmentation-Phalanx.jpg |left|thumb|300px|Comparison of the manual and ANN segmentations of the phalanx bones. Manual segmentations are shown in red and automated in blue.]]
