Image analysis – Applications – Biomedical applications
Reexamination Certificate
2006-02-03
2011-12-13
Bali, Vikkram (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S100000, C382S131000, C600S410000, C345S419000, C345S420000, C345S421000, C850S046000, C850S047000
Reexamination Certificate
active
08077938
ABSTRACT:
A computer implemented method for diffusion tensor visualization includes receiving diffusion weighted image slice data, segmenting a diffusion tensor field from the diffusion weighted image slice data to determine a three-dimensional triangular mesh, and determining a fractional anisotropy field and a principle diffusion direction field of the diffusion tensor field. The method includes determining a streamline through each surface point on a segmented surface of the diffusion tensor field according to the principle diffusion direction field, determining an oriented texture intensity for the surface points from corresponding streamlines, determining a surface color for the surface points by combining the oriented texture intensity, a color determined from the principle diffusion direction field, and a value of fractional anisotropy field at the surface points, and visualizing the surface points by rendering the surface points having the corresponding surface colors.
REFERENCES:
patent: 5625660 (1997-04-01), Tuy
patent: 6526305 (2003-02-01), Mori
patent: 6591004 (2003-07-01), VanEssen et al.
patent: 6642716 (2003-11-01), Hoogenraad et al.
patent: 7034531 (2006-04-01), Tuch et al.
patent: 2003/0214289 (2003-11-01), van Muiswinkel et al.
patent: 2003/0234781 (2003-12-01), Laidlaw et al.
Kindlmann, G.; Weinstein, D.; Hart, D.; Strategies for direct volume rendering of diffusion tensor fields. Visualization and Computer Graphics, IEEE Transactions on vol. 6, Issue 2, Apr.-Jun. 2000 pp. 124-138.
McGraw, T.; Neuronal Fiber Tracking in DT-MRF', University of Florida, Thesis, 2002, pp. 1-69.
Sato, T.; Minato, K.; Sadato, N.; Okada, T.; Yonekura, Y.; Kabasawa, H.; Quantitative analysis for the connectivity of nerve bundles using MR DTI. Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE vol. 3, Jul. 23-28, 2000 pp. 2358-2360.
Clarenz, U.; Diewald, U.; Rumpf, M.; Processing textured surfaces via anisotropic geometric diffusion. Image Processing, IEEE Transactions on vol. 13, Issue 2, Feb. 2004 pp. 248-261.
Brian Cabral et al. “Imaging Vector Fields Using Line Integral Convolution”Computer Graphics Proceedings, pp. 263-270, Mar. 1993.
Tim E. McGraw, Thesis, “Neuronal Fiber Tracking in DT-MRI”, pp. 1-69, University of Florida, 2002.
Bali Vikkram
Brooks Julian
F. Chau & Associates LLC
Paschburg Donald B.
Siemens Medical Solutions USA , Inc.
LandOfFree
Diffusion tensor surface visualization does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Diffusion tensor surface visualization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Diffusion tensor surface visualization will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4254782