Chromatin segmentation

Details Chromatin segmentation Chromatin segmentation

2002-07-19

2009-08-11

Lin, Jerry (Department: 1631)

Data processing: measuring, calibrating, or testing

Measurement system in a specific environment

Biological or biochemical

Reexamination Certificate

active

07574304

ABSTRACT:
A method of segmenting chromatin particles in a nucleus of a cell by locating regional minima in an image, computing a zone of influence (ZOI) around each regional minimum, and segmenting a single chromatin blob within each ZOI using a region growing procedure. The method can be used as the basis of a method of qualitatively characterizing the distribution of nuclear chromatin by computing features for individual chromatin particles. Chromatin features can be synthesized from the features of individual particles and particle features can be synthesized into nucleus features and slide features. The method is useful for detecting malignancy associated changes and changes during neoplasia. The method may also be used more generally to assess chromatin patterns in living cells during the cell life cycle. This makes it possible to measure alternations in the evolving patterns that result from pathological or environmental influences.

REFERENCES:
patent: 6026174 (2000-02-01), Palcic et al.
patent: WO 99/52074 (1999-10-01), None
patent: WO 02/03331 (2002-01-01), None
Adiga et al. “Region Based Techniques for Segmentation of Volumetric Histo-pathological Images,” Computer Methods and Programs in Biomedicine (Jan. 2000) vol. 61, pp. 23-47.
Montironi et al. “Nuclear Changes in Normal-Looking Columnar Epithelium Adjacent to and Distant from Prostatic Intraepithelial Neoplasia and Prostate Cancer,” Virchows Arch (2000) vol. 437, pp. 625-634.
Slobodan Ilie et al.,Seeded Region Growing Method for Image Segmentation,Graduate School in Computer Science, The Swiss Institute of Technology, Aug. 9, 2000, http://ligwww.epfl.ch/˜silic/predocschool/ComputerVision/cvision.html.
Andrew Mehnert et al.,An Improved Seeded Region Growing Algorithm,Pattern Recognition Letters, vol. 18 (10), Elsevier Science B.V., 1997, pp. 1065-1071.
M. Beil et al.,A Dual Approach to Structural Texture Analysis in Microscopic Cell Images,Computer Methods and Programs in Biomedicine, vol. 48(3), Elsevier Science Ireland, Dec. 1995, pp. 211-219.
F. Albregtsen et al.,Texture Classification of Mouse Liver Cell Nuclei Using Invariant Moments of Consistent Regions,Computer Analysis of Images and Patterns, 6thInternational Conference CAIP 1995, Proceedings, Springer-Verlag, Berlin, Germany, 1995, pp. 496-502.
A. Kondo et al.,Evaluation of the Chromatin for Cell Images,Systems and Computers in Japan, vol. 17(9), Scripta Technica Inc., Sep. 1986, pp. 11-19.
Richard Beare et al.,Exact Seeded Region Growing for Image Segmentation,Proceedings of the Fifth International/National Biennial Conference on Digital Image Computing, Techniques, and Applications (DICTA'99), Dec. 7-8, 1999, Perth, Western Australia, pp. 132-137.
Jean-Francois Rivest et al.Morphological Gradients,Journal of Electronic Imaging, vol. 2, No. 4, Oct. 1993, pp. 326-336.
Cotsaces and Pitas,Computing the Watersheds of Large Three-Dimensional Images Using Limited Random Access Memory,The Netherlands, Kluwer Academic Publishers, ISBN 0-7923-5133-9, 1998, pp. 239-246.
Heinz K. Grohs et al.,Automated Cervical Cancer Screening,Igaku-Shoin Medical Publishers, New York, ISBN: 0-89640-255-X, 1994, pp. 24-38.
J. Serra,Image Analysis and Mathematical Morphology,vol. 1, Academic Press, London, ISBN 0-12-637240-3, 1982, pp. 220-223.
Per Erik Danielsson,A New Shape Factor,Computer Graphics and Image Processing, vol. 7, 1978, pp. 292-299.
Jean-Francois Rivest et al.,Physical Significance Of Image Measurements,IEEE Transactions on Instrumentation and Measurement; vol. 44, No. 3, Jun. 1995, pp. 751-754.
Andrew J.H. Mehnert et al.,On Computing The Exact Euclidean Distance Transform On Rectangular And Hexagonal Grids,Journal of Mathematical Imaging and Vision, vol. 11, 1999, pp. 223-230.
Luc Vincent,Graphs And Mathematical Morphology,Signal Processing, vol. 16, 1989, pp. 365-388.
John C. Russ,The Image Processing Handbook,Florida, CRC Press, ISBN 0849342333, 1992, p. 336.
Jun-Ichiro Toriwaki et al.,Voronoi and Related Neighbors on Digitized Two-Dimensional Space With Applications to Texture Analysis,in Computational Morphology: A Computational Geometric Approach To The Analysis Of Form, Toussaint (Ed.), Elsevier Science Publishers, Amsterdam, ISBN: 0444704671, 1988, pp. 207-228.
Ross Francis Walker,Adaptive Multi-Scale Texture Analysis: With Application to Automated Cytology,PhD Thesis, School of Computer Science and Electrical Engineering, The University of Queensland, Australia, 1997, Chapter 2.
Henk J.A.M. Heijmans,Morphological Image Operators,Academic Press, San Diego, ISBN: 0-12-014599-5, 1994, pp. 325-331.
Ian T. Young et al.,Characterization Of Chromatin Distribution In Cell Nuclei,Cytometry, vol. 7, 1986, pp. 467-474.
Gunter Wolf et al.,Chromatin Structure Analysis Based On A Hierarchic Texture Model,Analytical and Quantitative Cytology and Histology, vol. 17, No. 1, 1995, pp. 25-34.
Luc Vincent et al.,Watersheds In Digital Spaces: An Efficient Algorithm Based On Immersion Simulations,IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, No. 6, 1991, pp. 583-598.
Rafael C. Gonzalez et al.,,Digital Image Processing,Addison-Wesley, Reading, Massachusetts, ISBN: 0-201-50803-6, 1992, pp. 191-195.
Luc Vincent,Morphological Grayscale Reconstruction in Image Analysis: Applications and Efficient Algorithms,IEEE Transactions on Image Processing, vol. 2, No. 2, Apr. 1993, pp. 184-185.
Michael Grimaud,A New Measure Of Contrast: The Dynamics,Proceedings of the SPIE—The International Society for Optical Engineering, vol. 1769, 1992, pp. 292-305.
Corinne Vachier et al.,Valuation Of Image Extrema Using Alternating Filters by Reconstruction,Proceedings of the SPIE—The International Society for Optical Engineering, vol. 2568, 1995, pp. 94-103.
Mathematical Morphology in Image Processing,E. R. Dougherty (Ed.), chapter 12, Marcel Dekker, Inc., New York, ISBN: 0-8247-8724-2, 1993, pp. 433-481.
S. Beucher et al., “Use of Watersheds in Contour Detection,”in International Workshop on Image Processing; Real-time Edge and Motion Detection/Estimation held on Sep. 17-21, 1979, Centre de Geostatistique et de Morphologie Mathmatique, pp. 2.1-2.12.
F. Meyer et al., “Morphological Segmentation,”Journal of Visual Communication and Image Representation, vol. 1, No. 1, Sep. 1990, pp. 21-46.
F. Meyer, “Un Algorithme Optimal de Ligne de Partage des Eaux,”in Proceedings of the 8e Congres Reconnaissance des Formes et Intelligence Artificielle, held on Nov. 25-29, 1991, pp. 847-857.

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