Image analysis – Applications – Biomedical applications
Reexamination Certificate
2011-03-29
2011-03-29
Werner, Brian P (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S173000
Reexamination Certificate
active
07916917
ABSTRACT:
For each of a number of landmarks in an image an initial position of the landmark is defined. Next a neighborhood around the initial position, comprising a number of candidate locations of the landmark is sampled and a cost is associated with each of the candidate locations. A cost function expressing a weighted sum of overall gray level cost and overall shape cost for all candidate locations is optimized. A segmented anatomic entity is defined as a path through a selected combination of candidate locations for which combination the cost function is optimized.
REFERENCES:
patent: 1 349 098 (2003-01-01), None
Seghers et al., Minimal Shape and Intensity Cost Path Segmentation, Aug. 2007, IEEE Transactions on Medical Imaging, vol. 26, No. 8, pp. 1115-1129.
Yu et al., Shape Regularized Active Contour Using Iterative Global Search and Local Optimization, Jun. 20-25, 2005, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 655-662 (8 pages).
Stegmann, Active Appearance Models, 2000, IMM, Technical University of Denmark,pp. 1-258.
Cootes,Image Processing and Analysis:Chapter 7: Model-Based Methods in Analysis of Biomedical Images: An Introduction to Active Shape Models, Mar. 2000, Oxford University Press,pp. 223-248 (26 pages).
Behiels, G. et al., “Evaluation of image features and search strategies for segmentation of bone structures in radiographs using Active Shape Models,” Medical Image Analysis, vol. 6, No. 1, Mar. 2002, pp. 47-62.
Behiels, G., et al, “Lecture Notes in Computer Science: Medical Image Computing and Computer-Assisted Intervention: Active Shape Model-Based Segmentation of Digital X-ray Images,” 1999, Springer-Verlag Berlin Heidelberg, pp. 128-138.
Cootes, T. F. et al., “Active Shape Models—their training and applications,” Computer Vision and Image Understanding, 61(1):38-59, 1995.
Cremers, et al., “Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional,” 2002, International Journal of Computer Vision: Kluwer Academic Publishers, pp. 295-313.
Florack, Luc M. J. et al, “Scale and the Differential Structure of Images,” Image and Vision Computing, vol. 10 (6):376-388, 1992.
Kass, Michael, et al., “Snakes: Active Contour Models,” International Journal of Computer Vision, 1(4):321-331, 1988.
Koenderink, Jan J., et al., “The Structure of Locally Orderless Images,” International Journal of Computer Vision, 31(2/3):159-168, 1999.
Sethian, J. A., “Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science,” Cambridge University Press, Cambridge, U.K., pp. 1-378, 1999.
Tsagaan B., et al., “Segmentation of kidney by using a deformable model,” Proceedings 2001 International conference on Image Processing. ICIP 2001. Thessaloniki, Greece, Oct. 7-10, 2001, International Conference on Image Processing, New York, NY: IEEE, US, vol. vol 1 of 3 Conf. 8, Oct. 7, 2001, pp. 1059-1062.
Van Ginneken, B. et al., “Active Shape Model Segmentation with Optimal Features,” IEEE Transactions on Medical Imaging, vol. 21, No. 8, Aug. 2002, pp. 924-933.
European Search Report from European Patent Application EP 05 10 7907, filed Aug. 30, 2005.
Dewaele Piet
Loeckx Dirk
Seghers Dieter
Agfa HealthCare N.V.
Houston Eliseeva LLP
Rosario Dennis
Werner Brian P
LandOfFree
Method of segmenting anatomic entities in digital medical... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method of segmenting anatomic entities in digital medical..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method of segmenting anatomic entities in digital medical... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2618713