WO2010055405A3 - Method and system for mapping tissue status of acute stroke - Google Patents

Method and system for mapping tissue status of acute stroke Download PDF

Info

Publication number
WO2010055405A3
WO2010055405A3 PCT/IB2009/007446 IB2009007446W WO2010055405A3 WO 2010055405 A3 WO2010055405 A3 WO 2010055405A3 IB 2009007446 W IB2009007446 W IB 2009007446W WO 2010055405 A3 WO2010055405 A3 WO 2010055405A3
Authority
WO
WIPO (PCT)
Prior art keywords
threshold value
determined
cbv
imaging data
ischemic
Prior art date
Application number
PCT/IB2009/007446
Other languages
French (fr)
Other versions
WO2010055405A2 (en
Inventor
Qing Yang
Original Assignee
Apollo Medical Imaging Technology Pty Ltd
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 AU2008905915A external-priority patent/AU2008905915A0/en
Application filed by Apollo Medical Imaging Technology Pty Ltd filed Critical Apollo Medical Imaging Technology Pty Ltd
Priority to JP2011543836A priority Critical patent/JP5716238B2/en
Priority to CN2009801545525A priority patent/CN102281815A/en
Priority to US13/128,645 priority patent/US8942451B2/en
Priority to AU2009315384A priority patent/AU2009315384B2/en
Priority to EP09825821.3A priority patent/EP2375969B8/en
Publication of WO2010055405A2 publication Critical patent/WO2010055405A2/en
Publication of WO2010055405A3 publication Critical patent/WO2010055405A3/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/41—Detecting, measuring or recording for evaluating the immune or lymphatic systems
    • A61B5/414—Evaluating particular organs or parts of the immune or lymphatic systems
    • A61B5/416—Evaluating particular organs or parts of the immune or lymphatic systems the spleen
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50—Clinical applications
    • A61B6/507—Clinical applications involving determination of haemodynamic parameters, e.g. perfusion CT
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. 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
    • A61B6/5229—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image
    • A61B6/5247—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image combining images from an ionising-radiation diagnostic technique and a non-ionising radiation diagnostic technique, e.g. X-ray and ultrasound
    • 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
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50—Clinical applications
    • A61B6/501—Clinical applications involving diagnosis of head, e.g. neuroimaging, craniography
    • 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
    • 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
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • G06T2207/30104—Vascular flow; Blood flow; Perfusion

Abstract

The current invention provides a method of identifying a ischemic lesion. The method includes loading perfusion imaging data into an electronic memory element and deriving perfusion maps from the perfusion imaging data, where the perfusion maps include a cerebral blood volume (CBV) map and an arterial delay time (DT) map, which utilize arterial delay and dispersion effects. Ischemic pixels are determined from the perfusion imaging data, where the DT is greater than a predetermined first threshold value and the CBV is below a second threshold value and the infarct portion of the ischemic lesion is determined, where DT is greater than a predetermined third threshold value and/or the CBV is below a forth threshold value. A cluster analysis is applied to all of the determined ischemic lesion and infarct pixels and the penumbra is then determined, where mismatch regions between the ischemic lesion and the infarct core define the penumbra.
PCT/IB2009/007446 2008-11-14 2009-11-13 Method and system for mapping tissue status of acute stroke WO2010055405A2 (en)

Priority Applications (5)

Application Number Priority Date Filing Date Title
JP2011543836A JP5716238B2 (en) 2008-11-14 2009-11-13 Method and system for mapping tissue status of acute stroke
CN2009801545525A CN102281815A (en) 2008-11-14 2009-11-13 Method and system for mapping tissue status of acute stroke
US13/128,645 US8942451B2 (en) 2008-11-14 2009-11-13 Method and system for mapping tissue status of acute stroke
AU2009315384A AU2009315384B2 (en) 2008-11-14 2009-11-13 Method and system for mapping tissue status of acute stroke
EP09825821.3A EP2375969B8 (en) 2008-11-14 2009-11-13 Method and system for mapping tissue status of acute stroke

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AU2008905915A AU2008905915A0 (en) 2008-11-14 Method and System for Mapping Tissue Status of Acute Stroke
AU2008905915 2008-11-14

Publications (2)

Publication Number Publication Date
WO2010055405A2 WO2010055405A2 (en) 2010-05-20
WO2010055405A3 true WO2010055405A3 (en) 2010-08-26

Family

ID=42170469

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2009/007446 WO2010055405A2 (en) 2008-11-14 2009-11-13 Method and system for mapping tissue status of acute stroke

Country Status (6)

Country Link
US (1) US8942451B2 (en)
EP (1) EP2375969B8 (en)
JP (1) JP5716238B2 (en)
CN (1) CN102281815A (en)
AU (1) AU2009315384B2 (en)
WO (1) WO2010055405A2 (en)

Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2375969B8 (en) * 2008-11-14 2019-10-16 Apollo Medical Imaging Technology Pty Ltd Method and system for mapping tissue status of acute stroke
US20160166159A1 (en) * 2011-05-11 2016-06-16 Qing Yang Method and system for mapping tissue status of acute stroke
US8532353B2 (en) 2011-11-23 2013-09-10 Vital Images, Inc. Synthetic visualization and quantification of perfusion-related tissue viability
US9271688B2 (en) 2012-03-28 2016-03-01 General Electric Company System and method for contrast agent estimation in X-ray imaging
WO2014036638A1 (en) 2012-09-05 2014-03-13 Goyal Mayank Systems and methods for diagnosing strokes
US9486176B2 (en) 2012-09-05 2016-11-08 Mayank Goyal Systems and methods for diagnosing strokes
JP2015535699A (en) * 2012-09-19 2015-12-17 オーフス ウニヴァースィテット Risk prediction of tissue infarction
JP6017281B2 (en) * 2012-11-27 2016-10-26 東芝メディカルシステムズ株式会社 Stage judgment support system
CN107526936A (en) * 2012-12-30 2017-12-29 上海联影医疗科技有限公司 The quantitative measuring method of liver perfusion
JP6181381B2 (en) * 2013-02-13 2017-08-16 東芝メディカルシステムズ株式会社 Image analysis apparatus and magnetic resonance imaging apparatus
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
MX2016001866A (en) * 2013-08-14 2016-06-14 Univ Nanyang Tech Systems and methods for revascularization assessment.
US10198817B2 (en) 2014-04-17 2019-02-05 The Trustees Of Columbia University In The City Of New York Technologies for diagnosing neurological or psychiatric illnesses
WO2016064750A1 (en) * 2014-10-20 2016-04-28 New York University Method to select radiation dosage for tumor treatment based on cellular imaging
CN105997128A (en) * 2016-08-03 2016-10-12 上海联影医疗科技有限公司 Method and system for recognizing focus of infection by perfusion imaging
JP7098356B2 (en) * 2017-03-09 2022-07-11 ゼネラル・エレクトリック・カンパニイ Systems and methods for color visualization of CT images
CN107133957B (en) * 2017-04-20 2020-11-10 西门子医疗系统有限公司 Magnetic resonance image processing method and device
EP3657435A1 (en) * 2018-11-26 2020-05-27 Koninklijke Philips N.V. Apparatus for identifying regions in a brain image
CN109411085A (en) * 2018-12-21 2019-03-01 上海联影医疗科技有限公司 The method and device and computer installation of perfusion analysis
CN112842295B (en) * 2021-02-09 2022-03-01 北京航空航天大学 Artery characteristic parameter detection method and artery function and structure detection method
US20220343529A1 (en) * 2021-04-23 2022-10-27 Varjo Technologies Oy Image signal processing based on virtual superimposition
CN113273969A (en) * 2021-06-22 2021-08-20 上海市第六人民医院 Device, method, medium and electronic equipment for evaluating cerebral ischemia condition

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5412562A (en) * 1992-04-02 1995-05-02 Kabushiki Kaisha Toshiba Computerized tomographic imaging method and system for acquiring CT image data by helical dynamic scanning
US20020177957A1 (en) * 2000-10-25 2002-11-28 Lee Ting Y. Method and apparatus for calculating blood flow parameters
US7020578B2 (en) * 2000-02-02 2006-03-28 The General Hospital Corporation Method for evaluating novel, stroke treatments using a tissue risk map

Family Cites Families (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5377681A (en) * 1989-11-13 1995-01-03 University Of Florida Method of diagnosing impaired blood flow
US5287273A (en) * 1990-03-15 1994-02-15 Mount Sinai School Of Medicine Functional organ images
US5783606A (en) * 1995-02-10 1998-07-21 The University Of Toronto Innovations Foundation Deprenyl compounds for treatment of glaucoma
US5853370A (en) * 1996-09-13 1998-12-29 Non-Invasive Technology, Inc. Optical system and method for non-invasive imaging of biological tissue
US5579767A (en) * 1993-06-07 1996-12-03 Prince; Martin R. Method for imaging abdominal aorta and aortic aneurysms
US5590654A (en) * 1993-06-07 1997-01-07 Prince; Martin R. Method and apparatus for magnetic resonance imaging of arteries using a magnetic resonance contrast agent
US5928148A (en) * 1997-06-02 1999-07-27 Cornell Research Foundation, Inc. Method for performing magnetic resonance angiography over a large field of view using table stepping
US5924987A (en) * 1997-10-06 1999-07-20 Meaney; James F. M. Method and apparatus for magnetic resonance arteriography using contrast agents
DE19811349C1 (en) * 1998-03-16 1999-10-07 Siemens Ag Process for contrast substance tracing using medical imaging appts.
US7069068B1 (en) * 1999-03-26 2006-06-27 Oestergaard Leif Method for determining haemodynamic indices by use of tomographic data
JP4379559B2 (en) * 1999-04-30 2009-12-09 株式会社日立メディコ Magnetic resonance imaging system
US6792302B2 (en) * 2001-02-21 2004-09-14 Universite De Lausanne Method and apparatus for determining treatment for stroke
GB2374744B (en) * 2001-04-18 2003-04-16 Voxar Ltd Correction of boundary artefacts in image data processing
DE60212917T2 (en) * 2001-10-16 2007-03-01 Kabushiki Kaisha Toshiba Device for calculating an index of local blood flows
US20040092809A1 (en) * 2002-07-26 2004-05-13 Neurion Inc. Methods for measurement and analysis of brain activity
US7539528B2 (en) * 2002-09-20 2009-05-26 Jinhu Xiong Using magnetic resonance imaging to directly map neuronal activity
US6731782B2 (en) * 2002-10-02 2004-05-04 Virtualscopics, Llc Method and system for automatic identification and quantification of abnormal anatomical structures in medical images
JP4342809B2 (en) * 2003-02-14 2009-10-14 株式会社東芝 MRI equipment
US7512435B2 (en) * 2003-06-02 2009-03-31 The General Hospital Corporation Delay-compensated calculation of tissue blood flow
JP4537681B2 (en) * 2003-09-24 2010-09-01 株式会社東芝 Blood flow analyzer
WO2005104936A1 (en) * 2004-04-30 2005-11-10 Apollo Medical Imaging Technology Pty Ltd Method and system of obtaining improved data in perfusion measurements
US20080021502A1 (en) * 2004-06-21 2008-01-24 The Trustees Of Columbia University In The City Of New York Systems and methods for automatic symmetry identification and for quantification of asymmetry for analytic, diagnostic and therapeutic purposes
US7567832B2 (en) * 2004-08-13 2009-07-28 The Mcw Research Foundation MRI method for measuring tumor hemodynamic parameters in the presence of contrast agent extravasation
US8047993B2 (en) * 2004-12-08 2011-11-01 Industrial Technology Research Institute Quantitative non-invasive method for detecting degree of malignancy in tumors and application thereof
WO2006086845A1 (en) * 2005-02-16 2006-08-24 Apollo Medical Imaging Technology Pty Ltd Method and system of motion artefact compensation in a subject
US20060201504A1 (en) * 2005-03-08 2006-09-14 Singhal Aneesh B High-flow oxygen delivery system and methods of use thereof
US20070016016A1 (en) * 2005-05-31 2007-01-18 Gabriel Haras Interactive user assistant for imaging processes
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
US7663369B2 (en) * 2007-02-06 2010-02-16 Kabushiki Kaisha Toshiba Patient couch, magnetic resonance imaging (MRI) apparatus, and MRI method
US20080208068A1 (en) * 2007-02-26 2008-08-28 Timothy Robertson Dynamic positional information constrained heart model
DE102007013564B4 (en) * 2007-03-21 2017-11-09 Siemens Healthcare Gmbh Method and device for automatic determination of radiation-attenuating objects by means of a magnetic resonance system
US20080300484A1 (en) * 2007-04-13 2008-12-04 Jing Wang Delay insensitive SVD algorithm for perfusion analysis
US20080262344A1 (en) * 2007-04-23 2008-10-23 Brummett David P Relative value summary perfusion map
GB0709561D0 (en) * 2007-05-18 2007-06-27 Siemens Medical Solutions Assessment of vascular compartment volume PET modeling
DE102007023846A1 (en) * 2007-05-23 2008-12-11 Siemens Ag A method for generating an anatomical image of a study area with a magnetic resonance apparatus and computer program and magnetic resonance apparatus for performing the method
US7983460B2 (en) * 2007-06-08 2011-07-19 General Electric Company Method and system for performing high temporal resolution bolus detection using CT image projection data
DE102007039454B4 (en) * 2007-08-21 2016-07-28 Siemens Healthcare Gmbh A method of quantifying the uptake of at least one radiotracer in a body region of a patient of interest for a positron emission tomography measurement
JP5311333B2 (en) * 2008-10-31 2013-10-09 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー Blood flow dynamic analysis apparatus and magnetic resonance imaging apparatus
EP2375969B8 (en) * 2008-11-14 2019-10-16 Apollo Medical Imaging Technology Pty Ltd Method and system for mapping tissue status of acute stroke
US8427151B2 (en) * 2011-01-14 2013-04-23 National Yang-Ming University Method and apparatus for brain perfusion magnetic resonance images

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5412562A (en) * 1992-04-02 1995-05-02 Kabushiki Kaisha Toshiba Computerized tomographic imaging method and system for acquiring CT image data by helical dynamic scanning
US7020578B2 (en) * 2000-02-02 2006-03-28 The General Hospital Corporation Method for evaluating novel, stroke treatments using a tissue risk map
US20020177957A1 (en) * 2000-10-25 2002-11-28 Lee Ting Y. Method and apparatus for calculating blood flow parameters

Also Published As

Publication number Publication date
EP2375969B8 (en) 2019-10-16
AU2009315384A1 (en) 2010-05-20
EP2375969A4 (en) 2017-04-12
JP2012512729A (en) 2012-06-07
JP5716238B2 (en) 2015-05-13
EP2375969B1 (en) 2019-09-04
US8942451B2 (en) 2015-01-27
US20110229003A1 (en) 2011-09-22
EP2375969A2 (en) 2011-10-19
WO2010055405A2 (en) 2010-05-20
AU2009315384B2 (en) 2015-12-17
CN102281815A (en) 2011-12-14

Similar Documents

Publication Publication Date Title
WO2010055405A3 (en) Method and system for mapping tissue status of acute stroke
WO2008103842A3 (en) Methods and systems for characterizing and generating a patient-specific seizure advisory system
DE502007005697D1 (en) METHOD FOR DISTRIBUTING AND EVALUATING HEART CIRCULATION INFORMATION FROM CARDIOVASCULAR CURVES, ESPECIALLY FOR TELEMEDICAL APPLICATIONS
WO2007029199A3 (en) Ultrasound system for reliable 3d assessment of right ventricle of the heart and method of doing the same
WO2012073119A3 (en) Phr/emr retrieval system based on body part recognition and method of operation thereof
WO2006078566A3 (en) System and method of estimating joint loads using an approach of closed form dynamics
WO2004093642A3 (en) Detecting ischemia
EP1724698A3 (en) A treatment effect prediction system, a treatment effect prediction method, and a computer program product thereof
EP3884838A4 (en) Disease diagnostic assistance method based on digestive organ endoscopic images, diagnostic assistance system, diagnostic assistance program, and computer-readable recording medium having diagnostic assistance program stored thereon
WO2018162901A3 (en) Analysis of cardiac data
EP2200347A3 (en) A method of operating a hearing instrument based on an estimation of present cognitive load of a user and a hearing aid system
WO2010065888A3 (en) System and method to define target volume for stimulation in brain
WO2006118915A3 (en) System and methods of using image-guidance for providing an access to a cochlear of a living subject
WO2011138780A3 (en) Devices and methods for control of blood pressure
WO2006078538A3 (en) A system and method of estimating joint loads in a three-dimensional system
MX2015011755A (en) Device and method for determining the blood oxygen saturation of a subject.
EP2330526A3 (en) System and method for determining drug administration information
WO2007022292A3 (en) Methods and system for determining brain compliance
WO2012094608A3 (en) Communicating channel state information (csi) of multiple transmission points
WO2006011810A3 (en) Mr imaging method for the discrimination between healthy and tumour tissue
WO2007112397A3 (en) System and method of predicting efficacy of tongue-base therapies
EP2648090A3 (en) Improving performance of vector pertitioning loops
EP4343707A3 (en) Indication-dependent display of a medical image
WO2010075450A3 (en) Therapeutic outcome assessment for atrial fibrillation
NL2002411A1 (en) System and method for tissue-specific MR imaging or metabolites using spectral-spatially formed stimulated echo.

Legal Events

Date Code Title Description
WWE Wipo information: entry into national phase

Ref document number: 200980154552.5

Country of ref document: CN

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

Ref document number: 09825821

Country of ref document: EP

Kind code of ref document: A2

ENP Entry into the national phase

Ref document number: 2011543836

Country of ref document: JP

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 13128645

Country of ref document: US

WWE Wipo information: entry into national phase

Ref document number: 2009315384

Country of ref document: AU

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 2009315384

Country of ref document: AU

Date of ref document: 20091113

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 2009825821

Country of ref document: EP