Automated segmentation of image structures

Image analysis – Image segmentation

Reexamination Certificate

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C382S171000

Reexamination Certificate

active

08036462

ABSTRACT:
Methods and systems for segmenting images, wherein the image pixels are categorized into a plurality of subsets using one or more indexes, then a log-likelihood function of one or more of the indexes is determined, and one or more maps are generated based on the determination of the log-likelihood function of one or more of the indexes.

REFERENCES:
patent: 5888743 (1999-03-01), Das
patent: 5995645 (1999-11-01), Soenksen et al.
patent: 6150173 (2000-11-01), Schubert
patent: 6160617 (2000-12-01), Yang
patent: 6195451 (2001-02-01), Kerschmann et al.
patent: 6573043 (2003-06-01), Cohen et al.
patent: 6995020 (2006-02-01), Capiodieci et al.
patent: 7219016 (2007-05-01), Rimm et al.
patent: 7321881 (2008-01-01), Saidi et al.
patent: 7467119 (2008-12-01), Saidi et al.
patent: 7483554 (2009-01-01), Kotsianti et al.
patent: 7505948 (2009-03-01), Saidi et al.
patent: 7709222 (2010-05-01), Rimm et al.
patent: 2002/0076092 (2002-06-01), Ellis et al.
patent: 2002/0164063 (2002-11-01), Heckman
patent: 2002/0177149 (2002-11-01), Rimm et al.
patent: 2002/0187487 (2002-12-01), Goldenring et al.
patent: 2003/0036855 (2003-02-01), Harris et al.
patent: 2003/0077675 (2003-04-01), Das
patent: 2003/0184730 (2003-10-01), Price
patent: 2004/0023320 (2004-02-01), Steiner et al.
patent: 2004/0197839 (2004-10-01), Daniely et al.
patent: 2004/0248325 (2004-12-01), Bukusoglul
patent: 2005/0267690 (2005-12-01), Cong et al.
patent: 2006/0094868 (2006-05-01), Giuliano et al.
patent: 2007/0016373 (2007-01-01), Hunter et al.
patent: 2007/0099219 (2007-05-01), Teverovskiy et al.
patent: 2007/0111251 (2007-05-01), Rosania et al.
patent: 2008/0118916 (2008-05-01), Sood et al.
patent: 2008/0118934 (2008-05-01), Gerdes et al.
patent: 2008/0118944 (2008-05-01), Larsen et al.
patent: 2008/0144895 (2008-06-01), Hunter et al.
patent: 2010/0062452 (2010-03-01), Gustavson et al.
patent: 0345953 (1994-07-01), None
patent: 1416278 (2004-11-01), None
patent: 02086498 (2002-10-01), None
patent: WO2004038418 (2004-05-01), None
patent: WO2006016697 (2006-02-01), None
patent: 2007130677 (2007-11-01), None
patent: 2007136724 (2007-11-01), None
patent: 2008064067 (2008-05-01), None
patent: 2008133727 (2008-11-01), None
patent: 2008133728 (2008-11-01), None
patent: 2008133729 (2008-11-01), None
PCT/US2007/074380, PCT Search Report, Jun. 2, 2009.
W. Chen et al., “A Prototype for Unsupervised analysis of Tissue Microarrays for Cancer Research and Diagnostics,” IEEE Transactions on Information Technology in Biomedicine, vol. 8, No. 2, Jun. 2004. pp. 89-96.
Thevenaz, Optimization of Mutual Information for Multiresolution Image Registration,IEEE Transactions on Image Processing, vol. 9, No. 12, pp. 2083-2099, Dec. 2000.
Ashburner et al., “Unified Segmentation”, Academic Press, vol. 26, No. 3, Jul. 1, 2005, pp. 839-851.
Debruijne et al., “Multi-object Segmentation Using Shape Particles”, Information Processing in Medical Imaging; vol. 3565. Jul. 10, 2005, pp. 762-773.
PCT Search Report & Written Opinion—Mar. 27, 2009.
Robert L. Camp et al., “Automated subcellular localization and quantification of protein expression in tissue microarrays”, Nature Medicine, Nov. 2002, pp. 1323-1328, vol. 8, No. 11.
K. Martin Hoffman, et al., “Gastrointestinal Hormones Cause Rapid c-Met Receptor Down-regulation by a Novel Mechanism Involving Clathrin-mediated Endocytosis and a Lysosome-dependent Mechanism”, Journal of Biological Chemistry, Dec. 8, 2006, pp. 37705-37719, vol. 281, No. 49.
Gagani Athauda et al., “c-Met Ectodomain Shedding Rate Correlates with Malignant Potential”, Clin Cancer Res, Jul. 15, 2006, pp. 4154-4162, vol. 12, No. 14.
S. Kermorgant et al., “c-Met Signalling: Spatio-Temporal Decisions”, Cell Cycle, Mar. 2005, pp. 352-355, vol. 4, Issue 3.
Wolfgang Hilbe, et al., “Comparison of automated cellular imaging system and manual microscopy for immunohistochemically stained cryostat sections of lung cancer specimens applying p53, Ki-67 and p120”, Oncology Reports, May 13, 2003, pp. 15-20, vol. 10.
James D. Cowan et al., “Cruella, Develop mg a Scalable T ssue M Croarray Data Management System”, Arch Pathol Lab Med, Jun. 2006, pp. 817-822, vol. 130.
T. Hothorn et al., “On the exact distribution of maximally selected rank statistics”, Computational Statistics & Data Analysis, Jun. 2003, vol. 43, Issue 2, pp. 121-137.
C. Eguiluz et al. “Multitissue array review: A chronological description of tissue array techniques, applications and procedures”, Pathology-Research and Practice, vol. 202, Apr. 4, 2006, pp. 561-568.
M. Mengel et al., “Standardized On-Slide Control for Quality Assurance in the Immunohistochemical Assessment of Therapeutic Target Molecules in Breast Cancer”, The Breast Journal, vol. 11, No. 1, Jan.-Feb. 2005. pp. 34-40.
P. Capodieci et al., “Gene expression profiling in single cells within tissue,” 2005 Nature Publishing Group, vol. 2, No. 9, Sep. 2005, pp. 663-665.
W. Schubert et al., : Analyzing proteome topology and function by automated multidimensional fluorescence microscopy, 2006 Nature Publishing Group, http://www.nature.com
aturebiotechnology, Oct. 2006, pp. 1-11.
W. Schubert, “Exploring Molecular Networks Directly in the Cell,” 2006 International Society of Analytical Cytology, Cytometry Part A, vol. 69A, 2006, pp. 109-112.
R. F. Murphy, “A combination of microscope technology and statistical analysis enables the identification of proteins that share subcellular location patterns,” 2006 Nature Publishing Group, Nature Biotechnology, vol. 24, No. 10, Oct. 2006, pp. 1223-1224.
T. W. Nattkemper et al., “Human vs. machine: evaluation of fluorescence micrographs,” Pergamon, Computers in Biology and Medicine, Computers in Biology and Medicine, vol. 33, 2003, pp. 31-43.
T. W. Nattkemper et al., “A hybrid system for cell detection in digital micrographs,” Paper presented @ Biomedical Engineering Conference, Feb. 16-18, 2004, 4 pages.
T.W. Nattkemper et al., “A Neural Network Architecture for Automatic Segmentation of Fluorescence Micrographs,” ESANN' 2000 proceedings—European Symposium on Artificial Neural Networks, (Belgium), Apr. 26-28, 2000, ISBN 2-930307-00-5, pp. 177-182.
A. V. Kuznetsov et al., “Functional Imaging of Mitochondria in Saponin-permeabilized Mice Muscle Fibers,” The Journal of Cell Biology, vol. 140, No. 5, Mar. 9, 1998, pp. 1091-1099.
K. Rodenacker et al., “A feature set for cytometry on digitized mircroscopic images,” Analytical Cellular Pathology, vol. 25, No. 1, pp. 1-36, 2003.
F. Erlandsson et al., “Abnormal Expression Pattern of Cyclin E in Tumor Cells,” International Journal Cancer, vol. 104, Apr. 10, 2003, pp. 369-375.
Van Vlierberghe et al., “Four-color staining combining fluorescence and Brightfield microscopy for simultaneous immune cell Phenotyping and localization in tumor tissue sections,” Microscopy research and Technique, vol. 67, Jul. 15, 2005, pp. 15-21, Abstract.
J. Lindblad et al., “Image Analysis for Automatic Segmentation of Cytoplasms and Classifications of Rac1 Activation,” Cytometry Part A, vol. 57A, pp. 22-23, Jan. 2004.
A. O. H. Gerstner et al., “Quantitative Histology by Multicolor Slide-Based Cytometry,” Cytometry Part A, vol. 59A, pp. 210-219, Jun. 2004.
C. Wahlby et al., “Sequential Immunofluorescence Staining and Image Analysis for Detection of Large Numbers of Antigens in Individual Cell Nuclei,” Cytometry 47, pp. 32-41,, Jan. 1, 2002.
M.L. Hermiston et al., “Simultaneous localization of six antigens in single sections of transgenic mouse intestive using a combination of light and fluorescence microscopy,” The Journal of Histochemistry and Cytochemistry, vol. 40, No. 9, pp. 1283-1290, Sep. 2002.
R. T. Altstock et al., “Algorithms for Quantitation of Protein Expression Variation in Normal V

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