WO2005076197A3 - Procede et systeme d'identification de la mitose sur la base de la morphologie et de classification d'images numeriques - Google Patents

Procede et systeme d'identification de la mitose sur la base de la morphologie et de classification d'images numeriques 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
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English (en)
Other versions
WO2005076197A2 (fr
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/fr
Publication of WO2005076197A3 publication Critical patent/WO2005076197A3/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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

L'invention porte sur un procédé et sur un système d'identification de la mitose sur la base de la morphologie et de classification d'images numériques. Selon cette invention, on analyse et on corrige, si besoin, des paramètres de luminance tels que l'intensité, etc., provenant de l'image numérique d'un échantillon biologique (par exemple, des cellules tissulaires) sur lequel a été appliqué un composé chimique (tel qu'un colorant de marqueur). On analyse également des paramètres morphologiques (tels que taille, rapport d'allongement, parallélisme, rugosité de surface, forme de coques convexes, etc.) à partir de composantes individuelles à l'intérieur de l'échantillon biologique. On procède à une conclusion médicale (type et comptage de cellules mitotiques) ou à une conclusion d'expérimentations biologiques et biotechnologiques à partir des paramètres morphologiques et de luminance analysés. Le procédé et le système de l'invention peuvent être utilisés pour mette au point des applications en vue d'obtenir automatiquement un diagnostic médical (par exemple, un diagnostic de carcinome).
PCT/US2005/003311 2004-01-31 2005-01-31 Procede et systeme d'identification de la mitose sur la base de la morphologie et de classification d'images numeriques WO2005076197A2 (fr)

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 2004-10-15
US10/966,071 US20050136549A1 (en) 2003-10-30 2004-10-15 Method and system for automatically determining diagnostic saliency of digital images

Publications (2)

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

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2005/003311 WO2005076197A2 (fr) 2004-01-31 2005-01-31 Procede et systeme d'identification de la mitose sur la base de la morphologie et de classification d'images numeriques

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Country Link
WO (1) WO2005076197A2 (fr)

Cited By (1)

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US9240043B2 (en) 2008-09-16 2016-01-19 Novartis Ag Reproducible quantification of biomarker expression

Families Citing this family (14)

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US20050136509A1 (en) 2003-09-10 2005-06-23 Bioimagene, Inc. Method and system for quantitatively analyzing biological samples
US8068988B2 (en) 2003-09-08 2011-11-29 Ventana Medical Systems, Inc. Method for automated processing of digital images of tissue micro-arrays (TMA)
EP2156370B1 (fr) 2007-05-14 2011-10-12 Historx, Inc. Séparation en compartiments par caractérisation de pixel utilisant le regroupement de données d'image
CA2604317C (fr) 2007-08-06 2017-02-28 Historx, Inc. Methodes et systeme permettant de valider des echantillons d'images pour dosages immunologiques quantitatifs
JP5315411B2 (ja) * 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 有糸分裂像検出装置および計数システム、および有糸分裂像を検出して計数する方法
CN102156988B (zh) * 2011-05-27 2012-10-10 天津大学 一种细胞分裂序列检测方法
CA2843468A1 (fr) * 2011-07-27 2013-01-31 Michael Meissner Systemes et procedes de pathologie numerique
CN103917988B (zh) * 2011-09-12 2017-08-15 谷歌公司 用于增强内容的系统
US8873833B2 (en) 2012-02-17 2014-10-28 Sony Corporation System and method for effectively performing a scene representation procedure
JPWO2019044579A1 (ja) * 2017-08-31 2020-11-05 国立大学法人大阪大学 病理診断装置、画像処理方法及びプログラム
TWI687898B (zh) * 2018-11-23 2020-03-11 宏碁股份有限公司 影像正規化方法及影像處理裝置
CN111292287B (zh) * 2018-12-06 2023-11-14 宏碁股份有限公司 图像正规化方法及图像处理装置
US20220414986A1 (en) * 2021-06-23 2022-12-29 Adobe Inc. Segmenting three-dimensional meshes in graphical applications based on detection of elongated shapes
CN115359056B (zh) * 2022-10-19 2023-03-24 浙江华诺康科技有限公司 分裂细胞检测方法、装置和计算机设备

Non-Patent Citations (4)

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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 *
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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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