Reproducible objective quantification method to segment white matter structures
AssigneeCornell University
InventorsSumit Narayan Niogi, Bruce D. McCandliss
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AssigneeCornell University
InventorsSumit Narayan Niogi, Bruce D. McCandliss
Estimating the term…
The invention provides a reproducible, objective quantification technique that reliably segments white matter structures. The technique receives a seed voxel within the white matter structure from an individual, determines thresholds and selection criteria, creates a binary mask based on the at least one threshold and the at least one selection criteria and calculates the boundary of the white matter structure based on the binary mask. A magnification factor is applied to each component of the eigenvectors of voxels. Boundary voxels are determined wherein each of the boundary voxels has a magnitude above a predetermined value and is located next to a voxel having a magnitude below the predetermined value. A vector is drawn from the seed voxel to a boundary voxel and the boundary voxels are connected together, thereby forming the region of interest within the connected boundary voxels.
A method for segmenting a white matter structure comprising:
A non-transient computer-readable medium having computer executable instructions for instructing a digital processor to perform segmentations on a white matter structure in an anatomical structure, the tangible computer-readable medium comprising:
Dependencies are inferred from the claim text.