RU2014121097A - Формирование изображения кровотока - Google Patents

Формирование изображения кровотока Download PDF

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Publication number
RU2014121097A
RU2014121097A RU2014121097/14A RU2014121097A RU2014121097A RU 2014121097 A RU2014121097 A RU 2014121097A RU 2014121097/14 A RU2014121097/14 A RU 2014121097/14A RU 2014121097 A RU2014121097 A RU 2014121097A RU 2014121097 A RU2014121097 A RU 2014121097A
Authority
RU
Russia
Prior art keywords
agent
peak
characteristic
blood flow
processor according
Prior art date
Application number
RU2014121097/14A
Other languages
English (en)
Russian (ru)
Inventor
Раз КАРМИ
Йехиэль ЛАМАШ
Original Assignee
Конинклейке Филипс Н.В.
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 Конинклейке Филипс Н.В. filed Critical Конинклейке Филипс Н.В.
Publication of RU2014121097A publication Critical patent/RU2014121097A/ru

Links

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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/026—Measuring blood flow
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]
    • A61B6/032—Transmission computed tomography [CT]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/48—Diagnostic techniques
    • A61B6/486—Diagnostic techniques involving generating temporal series of image data
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/507—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for determination of haemodynamic parameters, e.g. perfusion CT
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Optics & Photonics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physiology (AREA)
  • Theoretical Computer Science (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Dentistry (AREA)
  • Pulmonology (AREA)
  • General Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Hematology (AREA)
  • Cardiology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
RU2014121097/14A 2011-10-24 2012-10-15 Формирование изображения кровотока RU2014121097A (ru)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201161550490P 2011-10-24 2011-10-24
US61/550,490 2011-10-24
PCT/IB2012/055594 WO2013061202A2 (en) 2011-10-24 2012-10-15 Perfusion imaging

Publications (1)

Publication Number Publication Date
RU2014121097A true RU2014121097A (ru) 2015-12-10

Family

ID=47226238

Family Applications (1)

Application Number Title Priority Date Filing Date
RU2014121097/14A RU2014121097A (ru) 2011-10-24 2012-10-15 Формирование изображения кровотока

Country Status (8)

Country Link
US (1) US9299142B2 (cg-RX-API-DMAC10.html)
EP (1) EP2770910B1 (cg-RX-API-DMAC10.html)
JP (1) JP6209520B2 (cg-RX-API-DMAC10.html)
CN (1) CN103889328B (cg-RX-API-DMAC10.html)
BR (1) BR112014009597A2 (cg-RX-API-DMAC10.html)
IN (1) IN2014CN03101A (cg-RX-API-DMAC10.html)
RU (1) RU2014121097A (cg-RX-API-DMAC10.html)
WO (1) WO2013061202A2 (cg-RX-API-DMAC10.html)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8406860B2 (en) 2008-01-25 2013-03-26 Novadaq Technologies Inc. Method for evaluating blush in myocardial tissue
EP2863801B8 (en) 2012-06-21 2024-06-12 Stryker Corporation Quantification and analysis of angiography and perfusion
WO2014068520A1 (en) * 2012-10-31 2014-05-08 Koninklijke Philips N.V. Perfusion imaging
CN104217398B (zh) * 2013-05-29 2017-07-14 东芝医疗系统株式会社 图像处理装置、图像处理方法和医学图像设备
EP3007618B1 (en) 2013-06-14 2019-09-04 Novadaq Technologies ULC Quantification of absolute blood flow in tissue using fluorescence mediated photoplethysmography
US10426361B2 (en) 2013-06-14 2019-10-01 Novadaq Technologies ULC Quantification of absolute blood flow in tissue using fluorescence-mediated photoplethysmography
US9750480B2 (en) * 2013-12-24 2017-09-05 The Cleveland Clinic Foundation Systems and methods for measurement of tissue perfusion
JP6900144B2 (ja) * 2014-05-08 2021-07-07 信示 芦田 X線診断装置
CN104287763B (zh) 2014-09-09 2016-08-24 沈阳东软医疗系统有限公司 一种跟踪扫描中监测区域调整方法及装置
EP3203902B1 (en) * 2014-10-09 2021-07-07 Novadaq Technologies ULC Quantification of absolute blood flow in tissue using fluorescence-mediated photoplethysmography
US9990712B2 (en) * 2015-04-08 2018-06-05 Algotec Systems Ltd. Organ detection and segmentation
CA2998699A1 (en) * 2015-09-23 2017-03-30 Novadaq Technologies ULC Methods and systems for assessing healing of tissue
EP3416547A4 (en) 2016-02-16 2019-08-14 Novadaq Technologies ULC ASSESSMENT OF BLOOD FLOW AND TISSUE BLOODING BY FLUORESCENT-MEDIATED PHOTOPLETHYSMOGRAPHY
CA3049922A1 (en) 2017-02-10 2018-08-16 Novadaq Technologies ULC Open-field handheld fluorescence imaging systems and methods
EP4016107A1 (en) * 2020-12-18 2022-06-22 Guerbet Methods for training a cnn and for processing an inputted perfusion sequence using said cnn

Family Cites Families (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5287273A (en) 1990-03-15 1994-02-15 Mount Sinai School Of Medicine Functional organ images
US6505064B1 (en) * 2000-08-22 2003-01-07 Koninklijke Philips Electronics, N.V. Diagnostic imaging systems and methods employing temporally resolved intensity tracing
US20040120559A1 (en) * 2002-12-20 2004-06-24 Hall Anne Lindsay Methods and apparatus for contrast agent time intensity curve analyses
US20060025667A1 (en) 2004-07-29 2006-02-02 Edward Ashton Method for tumor perfusion assessment in clinical trials using dynamic contrast enhanced MRI
JP2007021006A (ja) * 2005-07-20 2007-02-01 Hitachi Medical Corp X線ct装置
GB0609610D0 (en) * 2006-05-15 2006-06-21 Stiftelsen Universitetsforskni MR perfusion
US8125484B2 (en) * 2006-11-10 2012-02-28 General Electric Company Method, apparatus and user interface for determining an arterial input function used for calculating hemodynamic parameters
WO2008053268A1 (en) 2006-12-21 2008-05-08 Institut Gustave Roussy (Igr) Method and system for quantification of tumoral vascularization
US8233965B2 (en) 2007-03-08 2012-07-31 Oslo Universitetssykehus Hf Tumor grading from blood volume maps
US7949172B2 (en) 2007-04-27 2011-05-24 Siemens Medical Solutions Usa, Inc. Iterative image processing
US8195274B2 (en) * 2007-04-27 2012-06-05 The Regents Of The University Of California Mapping of vascular perfusion territories
WO2008147921A1 (en) 2007-05-22 2008-12-04 Imaging Biometrics Multiparameter perfusion imaging with leakage correction
EP2205157B1 (en) 2007-11-06 2017-06-07 Koninklijke Philips N.V. System for quantification of neovasculature in ct volumes
CN101978375B (zh) * 2008-03-17 2013-07-17 皇家飞利浦电子股份有限公司 灌注成像
US8437836B2 (en) 2008-06-13 2013-05-07 Koninklijke Philips Electronics N.V. Reverse data reconstruction for optimal time sampling of counts in physiological list-mode nuclear imaging
JP5322548B2 (ja) * 2008-09-17 2013-10-23 株式会社東芝 X線ct装置、医用画像処理装置および医用画像処理プログラム
WO2010038161A2 (en) * 2008-09-30 2010-04-08 Koninklijke Philips Electronics, N.V. Perfusion imaging
EP2189112A1 (en) * 2008-11-24 2010-05-26 Bracco Research S.A. Real-time perfusion imaging and quantification
US8233684B2 (en) 2008-11-26 2012-07-31 General Electric Company Systems and methods for automated diagnosis
WO2010108161A2 (en) * 2009-03-19 2010-09-23 The Regents Of The University Of California Multi-phase pseudo-continuing arterial spin labeling
WO2010109356A1 (en) * 2009-03-26 2010-09-30 Koninklijke Philips Electronics N.V. Perfusion imaging
US9597042B2 (en) * 2009-05-12 2017-03-21 Koninklijke Philips N.V. Perfusion imaging
DE102009021234B4 (de) * 2009-05-14 2011-05-12 Siemens Aktiengesellschaft Verfahren zur Verarbeitung von Messdaten der Perfusions-Computertomographie
US8965484B2 (en) * 2011-04-27 2015-02-24 General Electric Company Method and apparatus for generating a perfusion image
WO2012174495A2 (en) * 2011-06-17 2012-12-20 Carnegie Mellon University Physics based image processing and evaluation process of perfusion images from radiology imaging

Also Published As

Publication number Publication date
US20140254909A1 (en) 2014-09-11
EP2770910A2 (en) 2014-09-03
JP6209520B2 (ja) 2017-10-04
JP2014530706A (ja) 2014-11-20
CN103889328B (zh) 2017-02-15
WO2013061202A2 (en) 2013-05-02
IN2014CN03101A (cg-RX-API-DMAC10.html) 2015-07-03
US9299142B2 (en) 2016-03-29
WO2013061202A3 (en) 2013-06-27
BR112014009597A2 (pt) 2017-05-09
CN103889328A (zh) 2014-06-25
EP2770910B1 (en) 2018-05-23

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FA92 Acknowledgement of application withdrawn (lack of supplementary materials submitted)

Effective date: 20170220