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WO2005076197A3 - Method and system for morphology based mitosis identification and classification of digital images - Google Patents

Method and system for morphology based mitosis identification and classification of digital images Download PDF

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Publication number
WO2005076197A3
WO2005076197A3 PCT/US2005/003311 US2005003311W WO2005076197A3 WO 2005076197 A3 WO2005076197 A3 WO 2005076197A3 US 2005003311 W US2005003311 W US 2005003311W WO 2005076197 A3 WO2005076197 A3 WO 2005076197A3
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WO
WIPO (PCT)
Prior art keywords
analyzed
mitosis
classification
identification
digital images
Prior art date
Application number
PCT/US2005/003311
Other languages
French (fr)
Other versions
WO2005076197A2 (en
Inventor
Abhijeet S Gholap
Gauri A Gholap
C K V Rao
Sanford H Barsky
Madhura Vipra
Suhas Manmantrao Patil
Prithviraj Jadhav
Jayant Abhyankar
Original Assignee
Bioimagene Inc
Abhijeet S Gholap
Gauri A Gholap
C K V Rao
Sanford H Barsky
Madhura Vipra
Suhas Manmantrao Patil
Prithviraj Jadhav
Jayant Abhyankar
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US10/938,314 external-priority patent/US20050136509A1/en
Priority claimed from US10/966,071 external-priority patent/US20050136549A1/en
Application filed by Bioimagene Inc, Abhijeet S Gholap, Gauri A Gholap, C K V Rao, Sanford H Barsky, Madhura Vipra, Suhas Manmantrao Patil, Prithviraj Jadhav, Jayant Abhyankar filed Critical Bioimagene Inc
Publication of WO2005076197A2 publication Critical patent/WO2005076197A2/en
Publication of WO2005076197A3 publication Critical patent/WO2005076197A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/457—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by analysing connectivity, e.g. edge linking, connected component analysis or slices
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/60—Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/698—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10056—Microscopic image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30242—Counting objects in image

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

A method and system for morphology based mitosis identification and classification of digital images. Luminance parameters such as intensity, etc. from a digital image of a biological sample (e.g., tissue cells) to which a chemical compound (e.g., a marker dye) has been applied are analyzed and corrected if necessary. Morphological parameters (e.g., size, elongation ratio, parallelism, boundary roughness, convex hull shape, etc.) from individual components within the biological sample are analyzed. A medical conclusion (e.g., type and count of mitotic cells) or a life science and biotechnology experiment conclusion is determined from the analyzed luminance and morphological parameters. The method and system may be used to develop applications for automatically obtaining a medical diagnosis (e.g., a carcinoma diagnosis).
PCT/US2005/003311 2004-01-31 2005-01-31 Method and system for morphology based mitosis identification and classification of digital images WO2005076197A2 (en)

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US54076704P 2004-01-31 2004-01-31
US60/540,767 2004-01-31
US10/938,314 2004-09-10
US10/938,314 US20050136509A1 (en) 2003-09-10 2004-09-10 Method and system for quantitatively analyzing biological samples
US10/966,071 US20050136549A1 (en) 2003-10-30 2004-10-15 Method and system for automatically determining diagnostic saliency of digital images
US10/966,071 2004-10-15

Publications (2)

Publication Number Publication Date
WO2005076197A2 WO2005076197A2 (en) 2005-08-18
WO2005076197A3 true WO2005076197A3 (en) 2005-10-27

Family

ID=34841732

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2005/003311 WO2005076197A2 (en) 2004-01-31 2005-01-31 Method and system for morphology based mitosis identification and classification of digital images

Country Status (1)

Country Link
WO (1) WO2005076197A2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9240043B2 (en) 2008-09-16 2016-01-19 Novartis Ag Reproducible quantification of biomarker expression

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8068988B2 (en) 2003-09-08 2011-11-29 Ventana Medical Systems, Inc. Method for automated processing of digital images of tissue micro-arrays (TMA)
US20050136509A1 (en) 2003-09-10 2005-06-23 Bioimagene, Inc. Method and system for quantitatively analyzing biological samples
ATE528722T1 (en) 2007-05-14 2011-10-15 Historx Inc DEPARTMENT SEPARATION THROUGH PIXEL CHARACTERIZATION USING IMAGE DATA CLUSTERING
CA2604317C (en) 2007-08-06 2017-02-28 Historx, Inc. Methods and system for validating sample images for quantitative immunoassays
JP5315411B2 (en) * 2008-07-03 2013-10-16 エヌイーシー ラボラトリーズ アメリカ インク Mitotic image detection device and counting system, and method for detecting and counting mitotic images
CN102156988B (en) * 2011-05-27 2012-10-10 天津大学 Cell division sequence detection method
US9760678B2 (en) * 2011-07-27 2017-09-12 Michael Meissner Systems and methods in digital pathology
CN103917988B (en) * 2011-09-12 2017-08-15 谷歌公司 System for strengthening content
US8873833B2 (en) 2012-02-17 2014-10-28 Sony Corporation System and method for effectively performing a scene representation procedure
WO2019044579A1 (en) * 2017-08-31 2019-03-07 国立大学法人大阪大学 Pathology diagnostic apparatus, image processing method, and program
TWI687898B (en) * 2018-11-23 2020-03-11 宏碁股份有限公司 Image normalization method and image processing device
CN111292287B (en) * 2018-12-06 2023-11-14 宏碁股份有限公司 Image normalization method and image processing apparatus
US12056823B2 (en) * 2021-06-23 2024-08-06 Adobe Inc. Segmenting three-dimensional meshes in graphical applications based on detection of elongated shapes
CN115359056B (en) * 2022-10-19 2023-03-24 浙江华诺康科技有限公司 Method and device for detecting dividing cells and computer equipment
CN116824250B (en) * 2023-06-27 2025-04-25 重庆邮电大学 Cell morphology classification method based on morphology and shannon entropy
CN120214368B (en) * 2025-04-22 2025-08-01 南昌大学第一附属医院 Method and system for identifying gastric cancer tumor tissue exosome separation process by transmission electron microscope

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
DREZET P M L ET AL: "Automatic mitotic index estimation for the prognostication of breast cancer from histology images", IEE COLLOQUIUM INTELLIGENT METHODS IN HEALTHCARE AND MEDICAL APPLICATIONS, 20 October 1998 (1998-10-20), pages 14 - 1, XP006502885 *
KATE TEN T K ET AL: "METHOD FOR COUNTING MITOSES BY IMAGE PROCESSING IN FEULGEN STAINED BREAST CANCER SECTIONS", CYTOMETRY, ALAN LISS, NEW YORK, US, vol. 14, 1993, pages 241 - 250, XP009026418, ISSN: 0196-4763 *
MADACHY R J ET AL: "Image analysis for automatic classification of MITOTIC cervical cells", PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, 4 November 1988 (1988-11-04), pages 372 - 374, XP010074652 *
SUNDBLAD LARS-GORAN ET AL: "The use of image analysis and automation for measuring mitotic index in apical conifer mersitems", JOURNAL OF EXPERIMENTAL BOTANY, OXFORD UNIVERSITY PRESS, GB, vol. 49, no. 327, October 1998 (1998-10-01), pages 1749 - 1756, XP002233559, ISSN: 0022-0957 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9240043B2 (en) 2008-09-16 2016-01-19 Novartis Ag Reproducible quantification of biomarker expression

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