Image analysis – Applications – 3-d or stereo imaging analysis
Reexamination Certificate
2007-12-11
2007-12-11
Mariam, Daniel (Department: 2624)
Image analysis
Applications
3-d or stereo imaging analysis
C382S128000, C382S286000
Reexamination Certificate
active
10892646
ABSTRACT:
A method for determining the location, shape and orientation of a tumor in a medical image includes finding a plurality of spatial extrema μ of a D-dimensional spatial signal f for a set of bandwidths H by performing mean shift-based gradient-ascent iterations for a set of bandwidths H and then determining a D-dimensional spread and orientation of the signal about each extrema μ by estimating a covariance Σ of the signal f for each extrema μ. The optimal estimate of μ and Σ is determined by performing a Jensen-Shannon divergence on the full set of μ and Σ.
REFERENCES:
Kazunori Okada, et al., “Robust Scale-space Analysis of 3D Local Structures in Medical Images,” Jul. 14, 2003, pp. 1-7.
Tony Lindeberg, “Feature Detection and Automatic Scale Selection,” May 1996, revised Aug. 1998, pp. 1-51.
Yixin Chen et al., “Estimating Symmetric, Positive Definite Matrices in Robotic Control.” pp. 1-6, May 2002.
Dorin Comaniciu, “An Algorithm for Data-Driven Bandwidth Selection,” IEEE Transactions on Patterns Analysis and Machine Intelligence, vol. 25., No. 2., Feb. 2003, pp. 1-8.
Dorin Comaniciu, et al., “Mean Shift: A Robust Approach Toward Feature Space Analysis,” IEEE Transactions on Patterns Analysis and Machine Intelligence, vol. 24., No. 5., May 2002, pp. 1-18.
Sabine Van Huffel, et al., “The Total Least Squares Problem,” Society of Industrial and Applied Mathematics, 1991, pp. 27-47.
Comaniciu D: “An Algorithm for Data-Driven Bandwidth Selection” IEEE Transactions on Pattern Analysis and Machine Intelligence, New York, US, vol. 25, No. 2, Feb. 2003, pp. 281-288, XP001179216 ISSN: 0162-8828, abstract, section 2: “Variable—bandwidths mean shift”, section 4: “Algorithm for bandwidth selection”.
Yixin Chen et al: “Estimating symmetric, matrices in robotic positive definite control” Proceedings 2002 IEEE International Conference on Robotic and Automation, May 11-15, 2002, Washington, DC, USA, May 2002, pp. 4269-4214, X P00 2329 114, p.4271, Theorem 111.3.
Cheng Y: “Mean Shift, Mode Seeking, and Clustering” IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Inc. New York, US, vol. 17, No. 8, Aug. 1, 1995, pp. 790-799, XP000527671, ISSN: 0162-8828, section II: “Generalizing mean shift”, section V: “mean shift clustering”.
Comaniciu D et al: “The variable mean shift and data-driven scale bandwidth selection”, International Conference on Computer Vision, Los Alamitos, CA : IEEE Comp. US, vol. vol. 1 of 2. Conf. 8, 7˜Jul. 7, 2001, pp. 438-445, X P0 10 55 40 14, ISBN: 0-7695-1143-0, abstract, section 1: “Motivation for variable bandwidth”.
Camaniciu D et al:“Real-time Tracking of Non-rigid objects using mean shift”, Proceedings of the IEEE Computer Conference on Computer Vision and Pattern Recognition, Los Alamitos, CA : IEEE Comp. So, vol. vol. 2 of 2, Jun. 13, 2000, pp. 142-149, XP 00 1035635, ISBN: 0-7803-6527-5, section 4 “Tracking Algorithm”.
Bogoni Luca
Comaniciu Dorin
Okada Kazunori
F. Chau & Associates LLC
Mariam Daniel
Paschburg Donald B.
Siemens Medical Solutions USA , Inc.
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