WO2014080305A3 - Integrated phenotyping employing image texture features - Google Patents

Integrated phenotyping employing image texture features Download PDF

Info

Publication number
WO2014080305A3
WO2014080305A3 PCT/IB2013/059663 IB2013059663W WO2014080305A3 WO 2014080305 A3 WO2014080305 A3 WO 2014080305A3 IB 2013059663 W IB2013059663 W IB 2013059663W WO 2014080305 A3 WO2014080305 A3 WO 2014080305A3
Authority
WO
WIPO (PCT)
Prior art keywords
image texture
texture features
feature values
computed
interest
Prior art date
Application number
PCT/IB2013/059663
Other languages
French (fr)
Other versions
WO2014080305A2 (en
Inventor
Nilanjana Banerjee
Nevenka Dimitrova
Vinay Varadan
Sitharthan Kamalakaran
Angel Janevski
Sayan MAITY
Original Assignee
Koninklijke Philips N.V.
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
Application filed by Koninklijke Philips N.V. filed Critical Koninklijke Philips N.V.
Priority to RU2015124052A priority Critical patent/RU2653108C2/en
Priority to JP2015542383A priority patent/JP6321026B2/en
Priority to US14/443,786 priority patent/US9552649B2/en
Priority to BR112015011289A priority patent/BR112015011289A2/en
Priority to EP13820908.5A priority patent/EP2923336B1/en
Priority to CN201380060670.6A priority patent/CN104798105B/en
Publication of WO2014080305A2 publication Critical patent/WO2014080305A2/en
Publication of WO2014080305A3 publication Critical patent/WO2014080305A3/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G06T7/41—Analysis of texture based on statistical description of texture
    • G06T7/45—Analysis of texture based on statistical description of texture using co-occurrence matrix computation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • 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
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • 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
    • G06T2207/30068—Mammography; Breast

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Mathematical Physics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Processing (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)

Abstract

Image texture feature values are computed for a set of image texture features from an image of an anatomical feature of interest in a subject, and the subject is classified respective to a molecular feature of interest based on the computed image texture feature values. The image texture feature values may be computed from one or more gray level co-occurrence matrices (GLCMs), and the image texture features may include Haralick and/or Tamura image texture features. To train the classifier, reference image texture feature values are computed for at least the set of image texture features from images of the anatomical feature of interest in reference subjects. The reference image texture feature values are divided into different population groups representing different values of the molecular feature of interest, and the classifier is trained to distinguish between the different population groups based on the reference image texture feature values.
PCT/IB2013/059663 2012-11-20 2013-10-25 Integrated phenotyping employing image texture features. WO2014080305A2 (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
RU2015124052A RU2653108C2 (en) 2012-11-20 2013-10-25 Integrated phenotyping employing image texture features
JP2015542383A JP6321026B2 (en) 2012-11-20 2013-10-25 Integrated phenotypic analysis using image texture features
US14/443,786 US9552649B2 (en) 2012-11-20 2013-10-25 Integrated phenotyping employing image texture features
BR112015011289A BR112015011289A2 (en) 2012-11-20 2013-10-25 non-transient storage media, device, and method
EP13820908.5A EP2923336B1 (en) 2012-11-20 2013-10-25 Integrated phenotyping employing image texture features.
CN201380060670.6A CN104798105B (en) 2012-11-20 2013-10-25 Using the integrated phenotype of image texture characteristic

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201261728441P 2012-11-20 2012-11-20
US61/728,441 2012-11-20

Publications (2)

Publication Number Publication Date
WO2014080305A2 WO2014080305A2 (en) 2014-05-30
WO2014080305A3 true WO2014080305A3 (en) 2014-07-24

Family

ID=49955416

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2013/059663 WO2014080305A2 (en) 2012-11-20 2013-10-25 Integrated phenotyping employing image texture features.

Country Status (7)

Country Link
US (1) US9552649B2 (en)
EP (1) EP2923336B1 (en)
JP (1) JP6321026B2 (en)
CN (1) CN104798105B (en)
BR (1) BR112015011289A2 (en)
RU (1) RU2653108C2 (en)
WO (1) WO2014080305A2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105354577A (en) * 2015-10-26 2016-02-24 中国矿业大学(北京) B-CDTM texture feature extraction method used for coal rock recognition

Families Citing this family (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014096147A2 (en) * 2012-12-20 2014-06-26 Siemens Aktiengesellschaft Determination of a probability indicator value
CN104217213B (en) * 2014-08-20 2018-04-27 哈尔滨工程大学 A kind of medical image multistage sorting technique based on symmetric theory
FR3025317B1 (en) * 2014-08-26 2022-09-23 Imabiotech METHOD FOR CHARACTERIZING A SAMPLE BY MASS SPECTROMETRY IMAGING
US10016159B2 (en) * 2014-10-24 2018-07-10 Koninklijke Philips N.V. Determination of TGF-β pathway activity using unique combination of target genes
CN105184300A (en) * 2015-09-01 2015-12-23 中国矿业大学(北京) Coal-rock identification method based on image LBP
US10215830B2 (en) 2015-12-16 2019-02-26 The United States Of America, As Represented By The Secretary, Department Of Health And Human Services Automated cancer detection using MRI
US10127660B2 (en) * 2015-12-30 2018-11-13 Case Western Reserve University Radiomic features on diagnostic magnetic resonance enterography
US10049770B2 (en) * 2015-12-30 2018-08-14 Case Western Reserve University Prediction of recurrence of non-small cell lung cancer
US10898079B2 (en) * 2016-03-04 2021-01-26 University Of Manitoba Intravascular plaque detection in OCT images
CN106127672B (en) * 2016-06-21 2019-03-12 南京信息工程大学 Image texture characteristic extraction algorithm based on FPGA
WO2018050854A1 (en) * 2016-09-16 2018-03-22 Qiagen Gmbh Neighbor influence compensation
CN108241865B (en) * 2016-12-26 2021-11-02 哈尔滨工业大学 Ultrasound image-based multi-scale and multi-subgraph hepatic fibrosis multistage quantitative staging method
EP3351956B1 (en) * 2017-01-19 2022-03-16 Siemens Healthcare GmbH Method for classification of magnetic resonance measuring data recorded by means of a magnetic resonance fingerprinting method of an object to be examined
EP3602394A1 (en) * 2017-03-24 2020-02-05 Pie Medical Imaging BV Method and system for assessing vessel obstruction based on machine learning
EP3451286B1 (en) * 2017-08-30 2019-08-28 Siemens Healthcare GmbH Method for segmenting an organ structure of an object under investigation in medical image data
CN107895139B (en) * 2017-10-19 2021-09-21 金陵科技学院 SAR image target identification method based on multi-feature fusion
EP3486674A1 (en) * 2017-11-17 2019-05-22 Koninklijke Philips N.V. Artificial intelligence-enabled localization of anatomical landmarks
CN110135227B (en) * 2018-02-09 2022-06-03 电子科技大学 Laser point cloud outdoor scene automatic segmentation method based on machine learning
CN108596275A (en) * 2018-05-10 2018-09-28 句容沣润塑料制品有限公司 A kind of image Fuzzy classification of the application image degree of association
CN108665431A (en) * 2018-05-16 2018-10-16 南京信息工程大学 Fractional order image texture Enhancement Method based on K- mean clusters
FR3082650B1 (en) * 2018-06-19 2021-08-27 Hera Mi SYSTEM AND METHOD FOR TREATING AT LEAST ONE POLLUTING REGION OF A DIGITAL IMAGE OF AN ELEMENT EXPOSED TO X-RAYS
US10818015B2 (en) 2019-01-28 2020-10-27 Florida Analytical Imaging Solutions, LLC. Automatic region of interest selection in centrosome analysis
CN110909652B (en) * 2019-11-16 2022-10-21 中国水利水电科学研究院 Method for dynamically extracting monthly scale of crop planting structure with optimized textural features
CN111260636B (en) * 2020-01-19 2023-07-25 郑州大学 Model training method and device, image processing method and device, and medium
US20230039065A1 (en) * 2020-01-24 2023-02-09 St. Jude Medical, Cardiology Division, Inc. System and method for generating three dimensional geometric models of anatomical regions
CN112633082B (en) * 2020-12-04 2023-08-18 西安理工大学 Multi-feature fusion weed detection method

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009105530A2 (en) * 2008-02-19 2009-08-27 The Trustees Of The University Of Pennsylvania System and method for automated segmentation, characterization, and classification of possibly malignant lesions and stratification of malignant tumors

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5426684A (en) * 1993-11-15 1995-06-20 Eastman Kodak Company Technique for finding the histogram region of interest for improved tone scale reproduction of digital radiographic images
JP2873955B1 (en) * 1998-01-23 1999-03-24 東京工業大学長 Image processing method and apparatus
WO2001099043A1 (en) * 2000-06-19 2001-12-27 Correlogic Systems, Inc. Heuristic method of classification
US7461048B2 (en) * 2003-07-21 2008-12-02 Aureon Laboratories, Inc. Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition
JP2010504129A (en) * 2006-09-22 2010-02-12 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ Advanced computer-aided diagnosis of pulmonary nodules
US8787633B2 (en) * 2007-01-16 2014-07-22 Purdue Research Foundation System and method of organism identification
US20080195322A1 (en) * 2007-02-12 2008-08-14 The Board Of Regents Of The University Of Texas System Quantification of the Effects of Perturbations on Biological Samples
GB0705223D0 (en) * 2007-03-19 2007-04-25 Univ Sussex Method, apparatus and computer program for analysing medical image data
US8737715B2 (en) * 2009-07-13 2014-05-27 H. Lee Moffitt Cancer And Research Institute, Inc. Methods and apparatus for diagnosis and/or prognosis of cancer
CN102122356A (en) * 2011-03-16 2011-07-13 中国人民解放军第二军医大学 Computer-aided method for distinguishing ultrasound endoscope image of pancreatic cancer
CN102509113B (en) * 2011-11-08 2013-04-24 浙江大学 Brain tumor MIB-1 index range detection method

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009105530A2 (en) * 2008-02-19 2009-08-27 The Trustees Of The University Of Pennsylvania System and method for automated segmentation, characterization, and classification of possibly malignant lesions and stratification of malignant tumors

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
ERAN SEGAL ET AL: "Supplementary Table 1 of "Decoding global gene expression programs in liver cancer by noninvasive imaging" (online)", 21 May 2007 (2007-05-21), pages 1 - 4, XP055103607, Retrieved from the Internet <URL:http://www.nature.com/nbt/journal/v25/n6/suppinfo/nbt1306_S1.html> [retrieved on 20140221] *
HIDEYUKI TAMURA ET AL: "Textural Features Corresponding to Visual Perception", IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, vol. 8, no. 6, 1 January 1978 (1978-01-01), pages 460 - 473, XP055011441, ISSN: 0018-9472, DOI: 10.1109/TSMC.1978.4309999 *
NIE K ET AL: "Quantitative Analysis of Lesion Morphology and Texture Features for Diagnostic Prediction in Breast MRI", ACADEMIC RADIOLOGY, RESTON, VA, US, vol. 15, no. 12, 1 December 2008 (2008-12-01), pages 1513 - 1525, XP025694195, ISSN: 1076-6332, [retrieved on 20081108], DOI: 10.1016/J.ACRA.2008.06.005 *
ROBERT M HARALICK ET AL: "Textural Features for Image Classification", IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS, IEEE INC. NEW YORK, US, vol. 3, no. 6, 1 November 1973 (1973-11-01), pages 610 - 621, XP011192771, ISSN: 0018-9472, DOI: 10.1109/TSMC.1973.4309314 *
SEGAL E ET AL: "Decoding global gene expression programs in liver cancer by noninvasive imaging", NATURE BIOTECHNOLOGY, NATURE PUBLISHING GROUP, NEW YORK, NY, US, vol. 25, no. 6, 21 May 2007 (2007-05-21), pages 675 - 680, XP007904842, ISSN: 1087-0156, [retrieved on 20070521], DOI: 10.1038/NBT1306 *
SHOTA YAMAMOTO ET AL: "Radiogenomic Analysis of Breast Cancer Using MRI: A Preliminary Study to Define the Landscape", AMERICAN JOURNAL OF ROENTGENOLOGY, vol. 199, no. 3, 1 September 2012 (2012-09-01), pages 654 - 663, XP055103612, ISSN: 0361-803X, DOI: 10.2214/AJR.11.7824 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105354577A (en) * 2015-10-26 2016-02-24 中国矿业大学(北京) B-CDTM texture feature extraction method used for coal rock recognition

Also Published As

Publication number Publication date
EP2923336B1 (en) 2017-12-13
JP2016505289A (en) 2016-02-25
RU2653108C2 (en) 2018-05-07
EP2923336A2 (en) 2015-09-30
US20150310632A1 (en) 2015-10-29
CN104798105B (en) 2019-06-07
WO2014080305A2 (en) 2014-05-30
BR112015011289A2 (en) 2017-07-11
RU2015124052A (en) 2017-01-10
JP6321026B2 (en) 2018-05-09
CN104798105A (en) 2015-07-22
US9552649B2 (en) 2017-01-24

Similar Documents

Publication Publication Date Title
WO2014080305A3 (en) Integrated phenotyping employing image texture features
WO2015006343A3 (en) Note recognition and management using color classification
EP2551796A3 (en) Image processing device identifying attribute of region included in image
EP2426621A3 (en) Information processing device and information processing method
WO2012021861A3 (en) Detection of anatomical landmarks
EP2838069A3 (en) Apparatus and method for analyzing image including event information
WO2009109971A3 (en) Segmentation device and method
WO2009085142A3 (en) Grouping images by location
WO2015069824A3 (en) Diagnostic system and method for biological tissue analysis
WO2012020974A3 (en) Method and apparatus for providing information about an identified object
EP2733642A3 (en) Biometric information correction apparatus, biometric information correction method and a computer-readable recording medium for biometric information correction
EP2685404A3 (en) Method and system for determining image similarity
EP2779630A3 (en) Electronic device and method for image processing
EP2482542A3 (en) Apparatus, system, and method of use of imaging assembly on mobile terminal
EP2806373A3 (en) Image processing system and method of improving human face recognition
EP2846310A3 (en) Method and apparatus for registering medical images
EP1986128A3 (en) Image processing apparatus, imaging apparatus, image processing method, and computer program
EP2919154A3 (en) Image processor, important person determination method, image layout method as well as program and recording medium
EP2282299A3 (en) Method of creating dictionary for soil detection of a sheet, sheet processing apparatus, and sheet processing method
TN2009000467A1 (en) Method for analysing an image of the brain of a subject computer program product for analysing such image and apparatus for implementing the method
EP2879080A3 (en) Image processing device and method, and computer readable medium
WO2016040784A3 (en) Systems and methods for estimating histological features from medical images using a trained model
WO2011128792A3 (en) Image data reformatting
WO2014022547A3 (en) Image recognition system in a cloud environment
WO2012018427A3 (en) User targeted medical imaging and information packaging compression and distribution system

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 13820908

Country of ref document: EP

Kind code of ref document: A2

WWE Wipo information: entry into national phase

Ref document number: 2013820908

Country of ref document: EP

ENP Entry into the national phase

Ref document number: 2015542383

Country of ref document: JP

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 14443786

Country of ref document: US

REG Reference to national code

Ref country code: BR

Ref legal event code: B01A

Ref document number: 112015011289

Country of ref document: BR

ENP Entry into the national phase

Ref document number: 2015124052

Country of ref document: RU

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: 112015011289

Country of ref document: BR

Kind code of ref document: A2

Effective date: 20150515