ON_MR_sheath_segmentation_v2_0_0ΒΆ
- What does it do?
Estimates the radius of the optic nerve and surrounding subarachnoid cerebrospinal fluid at each slice which contains optic nerve labels.
v2.0: Iteratively estimates the radius at each slice. Each iteration smooths each parameter with a B-spline. Outliers are reinitialized with the B-spline. The tolerance for outliers and error huberization are iteratively decreased until a smooth solution is converged to. Also now fits a cubic to the centroids to minimize errors from the MAS intialization.
- Requirements
NLSS resource from a version of ON_MR_segmentation
masimatlab utils
Trained random forest from matlab’s TreeBagger to transform parameter space to radius space
ANTS registration (used for resampling)
- Resources *
OUTLOG - STDOUT and STDERR from the process on the grid
PBS - The DRMAA compliant batch script to run the job
PDF - The output PDF file for determining QA status
SNAPSHOTS - Thumbnail of the first page of the PDF resource for viewing on XNAT
PARAMETERS - The fit parameters from every iteration
CENTROIDS - The centroids before and after smoothing and after fitting
RADII - The estimated radii of the left and right ON for every iteration
MATLAB - The matlab script used to run the estimation
- References
Coming soon!
- Version History
<revision> <name> <date> <lines changed>
Current Contact Person <date> <name> <email / URL>