Image analysis – Applications – Biomedical applications
Reexamination Certificate
1995-06-07
2001-06-26
Patel, Jay (Department: 2623)
Image analysis
Applications
Biomedical applications
C359S382000, C427S002110
Reexamination Certificate
active
06252979
ABSTRACT:
BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention is directed toward an interactive method for sorting biological specimens using data processing techniques and, more particularly, toward an interactive method for use in combination with image analysis apparatus for sorting cervical smears by processing fields of view of an image analysis microscope and sorting out normal specimens and selecting potentially abnormal specimens, where a technician may review selected fields of view of potentially abnormal specimens.
2. Discussion of the Prior Art
Automated and semi-automated methods of examining Papanicolaou-stained cervical smears, commonly referred to as pap smears, have been proposed in several articles and have been the subject of patents and patent applications since the 1970's. Cervical smears are typically contained on microscope slides which, in current practice, are individually examined by a cytotechnologist. Of course, this is an expensive and time intensive practice which is prone to human error.
In an effort to automate the cervical smear analysis process, some methods propose automatically scanning cervical smears and saving images of scanned objects, such as cells. Saved images may be classified and later displayed to a cytotechnologist for review and diagnosis. Unfortunately, such approaches do not provide contextual information for the object and, as a result, may not provide information with sufficient specificity for discerning suspicious objects. The result may be more false positive identifications of cervical smear samples. False positive identifications of objects result in normal slides being presented to cytotechnologists for human review. Human review of false positive slides or objects may not be necessary in many cases, thereby tending to increase the cost of applying such proposed methods.
The performance requirement for a fully automated cytology system may be very high, especially, as regards sensitivity to abnormal slides. An automated cytology system will ideally sort normal slides from abnormal slides with a very low rate of classifying normal slides as abnormal. In setting sort criteria at a level sufficient to provide a useful normal slide sort rate, severe abnormal slides may be missed by fully automated systems. Reliable systems that match such high performance requirements with existing technology are desirable so that a useful, cost effective, automated cytology system may be developed.
In contrast to the prior art, the present invention provides a slide sorting strategy comprised of a combination of fully automated processing and interactive review components that meet high performance standards without sacrificing sensitivity for identifying abnormal slides. The method of the invention sorts slides into clearly normal, interactive review, and microscopy review categories. Slides classified as clearly normal may be reported without further processing. Slides classified as needing microscopy review may be further processed by human review under a microscope. Images in the interactive review category may be saved for slides. In contrast to the prior art, the present invention provides a cost effective means to sort slides by classifying only about 20% of slides as clearly normal. Thus, high sensitivity requirements for identifying abnormal slides may be met by the method of the present invention. The present invention also includes several improvements to the human review process for reducing human false positive slides and improving the normal slide sort rate after human review. These improvements further increase the cost effectiveness of the method of the invention.
SUMMARY OF THE INVENTION
The present invention provides an interactive process for sorting biological specimens. A biological specimen is processed to provide an analysis score. The biological specimen is sorted according to the analysis score into categories including a clearly normal category, an interactive review category, and a microscopy review category. At least one field-of-view (FOV) is selected for any biological specimen sorted into the interactive review category.
Other objects, features and advantages of the present invention will become apparent to those skilled in the art through the description of the preferred embodiment, claims and drawings herein wherein like numerals refer to like elements.
REFERENCES:
patent: 3824393 (1974-07-01), Brain
patent: 4034342 (1977-07-01), Kruklitis
patent: 4122518 (1978-10-01), Castleman et al.
patent: 4175860 (1979-11-01), Bacus
patent: 4183013 (1980-01-01), Agrawala et al.
patent: 4207554 (1980-06-01), Resnick et al.
patent: 4513438 (1985-04-01), Graham et al.
patent: 4817050 (1989-03-01), Komatsu et al.
patent: 4965725 (1990-10-01), Rutenberg
patent: 5018209 (1991-05-01), Bacus
patent: 5029226 (1991-07-01), Klein et al.
patent: 5054093 (1991-10-01), Cooper et al.
patent: 5068906 (1991-11-01), Kosaka
patent: 5072382 (1991-12-01), Kamentsky
patent: 5257182 (1993-10-01), Luck et al.
patent: 5287272 (1994-02-01), Rutenberg et al.
patent: 5315700 (1994-05-01), Johnston et al.
patent: 5361140 (1994-11-01), Hayenga et al.
patent: 5544650 (1996-08-01), Boon et al.
P. Burt et al. “The Laplacian Pyramid as a Compact Image Code”, IEEEÛ □ransactions on Communication, vol. COM-31, No. 4, Apr. 1983, pp. 532-540.*
Mackin et al., “Automated Three-Dimensional Image Analysis of Thick and Overlapped Clusters in Cytologic Preparations”, The International Academy of Cytology, Jun. 17, 1993, pp. 405-417.*
Lee et al., “A Processing Strategy for Automated Papanicolaou Smear Screening”, ©The International Academy of Cytology,Analytical and Quantitative Cytology and Histology, vol. 14, No. 5, Oct. 1992, pp. 415-425.
Bacus, James W. and Les J. Grace, “Optical Microscope System For Standardized Cell Measurements and Analyses”,Applied Optics, 26:16, pp. 3280-3293, Aug. 15, 1987.
Bartels, Peter H., et al., “A Self-Learning Computer Program for Cell Recognition”,ACTA Cytologica: The Journal of Clinical Cytology, 14:8, pp. 486-494, Oct. 1970.
Tanaka, Noboru, et al., “Automated Cytologic Screening System (CYBEST Model 4): an Integrated Image Cytometry System”, Reprinted fromApplied Optics, vol. 26, No. 16, pp. 3301-3307, Aug. 15, 1987. Copyright© 1987 by the Optical Society of America and reprinted by permission of the copyright owner.
Duda, Richard O. and Peter E. Hart, “Fisher's Linear Discriminant”,Patent Classification and Scene Analysis, Copyright ©1973, pp. 114-119.
Dytch, Harvey E. et al., “An Interactive Microcomputer-Based System for the Quantitative Analysis of Stratified Tissue Sections”,Analytical and Quantitative Cytology and Histology, vol. 9, No. 1, pp. 69-78, Mar. 1987.
Enslein, Kurt and Peter W. Neurath, “Augmented Stepwise Discriminant Analysis Applied to Two Classification Problems in the Biomedical Field”,Computers and Biomedical Research, 2, 568-581 (1969).
Kurman, Robert J. et al., “Part 1: Specimen Adequacy” and “Part 2: Descriptive Diagnoses”,The Bethesda System for Reporting Cervical/Vaginal Cytologic Diagnoses, ©1994 Springer-Verlag.
Smith, Warren J., “Modern Optical Engineering: The Design of Optical Systems”, Copyright ©1966 by McGraw-Hill Book Company, pp. 308-325.
Weber, J.E. et al., “Fuzzy Reasoning, Possibility Theory and Probability Theory in Expert Systems for Histopathology”, Proceedings, 9th Annual IEEE Conference on Engineering in Medicine and Biomedical Sciences, Boston, pp. 1560-1561, ©1987.
Wied, G.L. et al., “Expert Systems as Classifiers in Diagnostic Cytopathology”, IEEE/Ninth Annual Conference of the Engineering in Medicine and Biology Society, pp. 1915-1917, ©1987.
Wied, G.L. et al., “Expert System Design Under Uncertainty of Human Diagnosticians”, IEEE/Eighth Annual Conference of the Engineering in Medicine and Biology Society, pp. 757-760, ©1986.
Wied, G.L. et al., “Ticas-Stratex, an Expert Diagnostic System For Stratified Cervical Epithelium”, IEEE/Ninth Annual Conference of the Engineering in Medicine and Biology Society, pp. 1557-1559, ©1987.
Serra, J.,Image Anal
Lee Shih-Jong J.
Nelson Alan C.
Youngmann Carl E.
Leone George A.
Moffa Emil
Patel Jay
Sun Hans
TriPath Imaging, Inc.
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