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IN2014CN03101A - - Google Patents

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Publication number
IN2014CN03101A
IN2014CN03101A IN3101CHN2014A IN2014CN03101A IN 2014CN03101 A IN2014CN03101 A IN 2014CN03101A IN 3101CHN2014 A IN3101CHN2014 A IN 3101CHN2014A IN 2014CN03101 A IN2014CN03101 A IN 2014CN03101A
Authority
IN
India
Prior art keywords
agent peak
perfusion
agent
determiner
relationship
Prior art date
Application number
Inventor
Raz Carmi
Yechiel Lamash
Original Assignee
Koninkl Philips Nv
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 Koninkl Philips Nv filed Critical Koninkl Philips Nv
Publication of IN2014CN03101A publication Critical patent/IN2014CN03101A/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/026Measuring blood flow
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computed tomography [CT]
    • A61B6/032Transmission computed tomography [CT]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/48Diagnostic techniques
    • A61B6/486Diagnostic techniques involving generating temporal series of image data
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50Apparatus 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
    • A61B6/507Apparatus 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5217Devices 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT 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)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Optics & Photonics (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physiology (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Dentistry (AREA)
  • Pulmonology (AREA)
  • Cardiology (AREA)
  • Quality & Reliability (AREA)
  • Hematology (AREA)
  • General Physics & Mathematics (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)

Abstract

A perfusion imaging data processor (122) includes an agent peak characteristic time determiner (206) configured to determine two or more agent peak characteristic times respectively for two or more circulatory sub systems represented in a same sub set of voxels of a set of time series data of perfusion imaging data an agent peak argument determiner (210)configured to determine an agent peak argument for each of the two or more agent peak characteristic times an agent peak argument relation determiner (212) configured to determine a relationship between the agent peak arguments of the two or more agent peak characteristic times and a perfusion map generator (214) configured to generate based on the determined relationship and the perfusion imaging data at least one perfusion map wherein the at least one perfusion map includes volumetric image data visually presenting at least one of a relationship or a difference between the two or more circulatory sub systems.
IN3101CHN2014 2011-10-24 2012-10-15 IN2014CN03101A (en)

Applications Claiming Priority (2)

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

Publications (1)

Publication Number Publication Date
IN2014CN03101A true IN2014CN03101A (en) 2015-07-03

Family

ID=47226238

Family Applications (1)

Application Number Title Priority Date Filing Date
IN3101CHN2014 IN2014CN03101A (en) 2011-10-24 2012-10-15

Country Status (8)

Country Link
US (1) US9299142B2 (en)
EP (1) EP2770910B1 (en)
JP (1) JP6209520B2 (en)
CN (1) CN103889328B (en)
BR (1) BR112014009597A2 (en)
IN (1) IN2014CN03101A (en)
RU (1) RU2014121097A (en)
WO (1) WO2013061202A2 (en)

Families Citing this family (14)

* 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
HK1209995A1 (en) 2012-06-21 2016-04-15 Novadaq Technologies Inc. Quantification and analysis of angiography and perfusion
RU2015120325A (en) * 2012-10-31 2016-12-20 Конинклейке Филипс Н.В. VISUALIZATION OF PERFUSION
CN104217398B (en) * 2013-05-29 2017-07-14 东芝医疗系统株式会社 Image processing apparatus, image processing method and medical image equipment
US10426361B2 (en) 2013-06-14 2019-10-01 Novadaq Technologies ULC Quantification of absolute blood flow in tissue using fluorescence-mediated photoplethysmography
US10285603B2 (en) 2013-06-14 2019-05-14 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 (en) 2014-05-08 2021-07-07 信示 芦田 X-ray diagnostic equipment
CN104287763B (en) 2014-09-09 2016-08-24 沈阳东软医疗系统有限公司 Monitored area method of adjustment and device in a kind of spotting scaming
KR102012880B1 (en) * 2014-10-09 2019-08-22 노바다크 테크놀러지즈 유엘씨 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
US10311567B2 (en) * 2015-09-23 2019-06-04 Novadaq Technologies ULC Methods and systems for assessing healing of tissue
CA3053274A1 (en) 2016-02-16 2017-08-24 Novadaq Technologies ULC Facilitating assessment of blood flow and tissue perfusion using fluorescence-mediated photoplethysmography
JP6931705B2 (en) 2017-02-10 2021-09-08 ノバダック テクノロジーズ ユーエルシー Open Field Handheld Fluorescence Imaging Systems and Methods

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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 (en) * 2005-07-20 2007-02-01 Hitachi Medical Corp X-ray ct apparatus
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
EP2097007B1 (en) 2006-12-21 2015-06-24 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
EP2157912B1 (en) 2007-05-22 2021-07-07 Imaging Biometrics Multiparameter perfusion imaging with leakage correction
US9420983B2 (en) 2007-11-06 2016-08-23 Koninklijke Philips N.V. System for quantification of neovasculature in CT volumes
CN101978375B (en) * 2008-03-17 2013-07-17 皇家飞利浦电子股份有限公司 Perfusion imaging
RU2517586C2 (en) 2008-06-13 2014-05-27 Конинклейке Филипс Электроникс Н.В. Reverse reconstruction of data for optimal time generation of count pulses in radiological physiological visualisation in list mode
JP5322548B2 (en) * 2008-09-17 2013-10-23 株式会社東芝 X-ray CT apparatus, medical image processing apparatus, and medical image processing program
US8908939B2 (en) * 2008-09-30 2014-12-09 Koninklijke Philips N.V. Perfusion imaging
EP2189112A1 (en) * 2008-11-24 2010-05-26 Bracco Research S.A. Real-time perfusion imaging and quantification
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Also Published As

Publication number Publication date
WO2013061202A2 (en) 2013-05-02
RU2014121097A (en) 2015-12-10
US20140254909A1 (en) 2014-09-11
US9299142B2 (en) 2016-03-29
BR112014009597A2 (en) 2017-05-09
WO2013061202A3 (en) 2013-06-27
JP2014530706A (en) 2014-11-20
JP6209520B2 (en) 2017-10-04
EP2770910A2 (en) 2014-09-03
EP2770910B1 (en) 2018-05-23
CN103889328A (en) 2014-06-25
CN103889328B (en) 2017-02-15

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