2011 Winter Project Week:NerveSeg
Figure 1 - Example of Manual Nerve Segmentation
Figure 2 - Example of results so far.
Figure 3 - Example of results so far (slicer).
Key Investigators
- MIT: Adrian Dalca, Polina Golland
- BWH, SPL: Giovanna Danagoulian, Ehud Schmidt
Objective
We are developing a nerve segmentation algorithm for the automatic isolation of nerves and nerve ganglia inside the spinal sack and out through the vertebrae in new MR Myelography images.
Approach, Plan
Currently we use a particle-filter tracking approach for segmenting the nerves. The algorithm is given a seed point, preferably somewhere in the spine. The particles are tubes following Bézier curves (and hence forming a B-spline track). To compute the likelihood of each sample we are experimenting with measures that use image intensity and gradients within the patch. Correct partial volume estimates are important in the measure as well.
Current results are promising, but several parts have to be perfected:
- Finalize the measure - currently the best results are only using gradient values, we need to incorporate image intensity better
- Select overall tracks at the end of the algorithm
- Clean tracks from unimportant branches.
Progress
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