2011 Summer Project Week NerveSeg
Segmentation of Nerve Bundles and Ganglia in Spine MRI
- MIT: Adrian Dalca, Polina Golland
- BWH: Giovanna Danagoulian, Ehud Schmidt
- SPL: Ron Kikinis
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. Current progress can track the core of a Nerve.
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). The dynamics model encourages continuity and smoothness. The image likelihood model compares gradient fields and intensities of predicted patches with image observations to evaluate a posterior distribution of the particles' importance. While we can currently usually track the nerve cores, usually fully throughout the vertebral canal, the algorithm does not delineate the full extent of the nerves and has sudden changes, and behaves poorly on peripheral nerves outside of the vertebral canal. We will modify the likelihood function and parameters and concentrate on achieving this during the project week.
- Sudden changes in the segmentation can be ameliorated. In general, can now constrain the radius function to be smoother in the general (visual) sense not just in the technical mathematical sense, to avoiding sudden changes in the segmentation (which are simply areas with fast but smooth radius function change).
- With careful characterization of the newer radius function, we can segment some of the thinner peripheral nerves. This is still specific to the images explored, but it can be done.
- Full width estimation is hard as part of the current system, may have to be a separate extension.
Results are attached:
A.V. Dalca; Giovanna Danagoulian; Ron kikinis; Ehud Schmidt; Polina Golland. (2011) Segmentation of Nerve Bundles and Ganglia in Spine MRI using Particle Filters. To Appear in MICCAI 2011