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
Links
- 230000010412 perfusion Effects 0.000 abstract 6
- 238000003384 imaging method Methods 0.000 abstract 3
Classifications
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- 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
-
- 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 pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- 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)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Surgery (AREA)
- Radiology & Medical Imaging (AREA)
- Veterinary Medicine (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Optics & Photonics (AREA)
- High Energy & Nuclear Physics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Physiology (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Pulmonology (AREA)
- Hematology (AREA)
- Cardiology (AREA)
- Quality & Reliability (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- Epidemiology (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.
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)
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 |
US10278585B2 (en) | 2012-06-21 | 2019-05-07 | Novadaq Technologies ULC | Quantification and analysis of angiography and perfusion |
JP6645831B2 (en) * | 2012-10-31 | 2020-02-14 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | Perfusion imaging |
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 |
US10285603B2 (en) | 2013-06-14 | 2019-05-14 | 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 (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 |
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 |
CN108882896B (en) * | 2015-09-23 | 2022-05-27 | 史赛克欧洲运营有限公司 | 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 |
Family Cites Families (25)
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 (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 |
EP2205157B1 (en) | 2007-11-06 | 2017-06-07 | 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 |
WO2009150565A2 (en) | 2008-06-13 | 2009-12-17 | Koninklijke Philips Electronics N.V. | Reverse data reconstruction for optimal time sampling of counts in physiological list-mode nuclear imaging |
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 |
CN102165455B (en) * | 2008-09-30 | 2015-08-26 | 皇家飞利浦电子股份有限公司 | 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 |
US9084554B2 (en) * | 2009-03-19 | 2015-07-21 | The Regents Of The University Of California | Multi-phase pseudo-continuous arterial spin labeling |
KR101698561B1 (en) * | 2009-03-26 | 2017-01-20 | 코닌클리케 필립스 엔.브이. | Perfusion imaging |
US9597042B2 (en) * | 2009-05-12 | 2017-03-21 | Koninklijke Philips N.V. | Perfusion imaging |
DE102009021234B4 (en) * | 2009-05-14 | 2011-05-12 | Siemens Aktiengesellschaft | Method for processing measured data of perfusion computed tomography |
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 |
-
2012
- 2012-10-15 CN CN201280052055.6A patent/CN103889328B/en active Active
- 2012-10-15 BR BR112014009597A patent/BR112014009597A2/en not_active IP Right Cessation
- 2012-10-15 JP JP2014536379A patent/JP6209520B2/en active Active
- 2012-10-15 WO PCT/IB2012/055594 patent/WO2013061202A2/en active Application Filing
- 2012-10-15 US US14/350,374 patent/US9299142B2/en active Active
- 2012-10-15 IN IN3101CHN2014 patent/IN2014CN03101A/en unknown
- 2012-10-15 RU RU2014121097/14A patent/RU2014121097A/en not_active Application Discontinuation
- 2012-10-15 EP EP12791263.2A patent/EP2770910B1/en active Active
Also Published As
Publication number | Publication date |
---|---|
US20140254909A1 (en) | 2014-09-11 |
EP2770910A2 (en) | 2014-09-03 |
WO2013061202A2 (en) | 2013-05-02 |
CN103889328B (en) | 2017-02-15 |
US9299142B2 (en) | 2016-03-29 |
CN103889328A (en) | 2014-06-25 |
BR112014009597A2 (en) | 2017-05-09 |
EP2770910B1 (en) | 2018-05-23 |
WO2013061202A3 (en) | 2013-06-27 |
RU2014121097A (en) | 2015-12-10 |
JP6209520B2 (en) | 2017-10-04 |
JP2014530706A (en) | 2014-11-20 |
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