Image analysis – Applications – Biomedical applications
Reexamination Certificate
2005-11-18
2011-12-13
Zarka, David (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S173000
Reexamination Certificate
active
08077937
ABSTRACT:
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.
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McCandliss Bruce D.
Niogi Sumit Narayan
Cornell University
Leydig , Voit & Mayer, Ltd.
Zarka David
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