DE602007005988D1 - Automatisiertes robustes verfahren zum erlernen von geometrien für mr-untersuchungen - Google Patents

Automatisiertes robustes verfahren zum erlernen von geometrien für mr-untersuchungen

Info

Publication number
DE602007005988D1
DE602007005988D1 DE602007005988T DE602007005988T DE602007005988D1 DE 602007005988 D1 DE602007005988 D1 DE 602007005988D1 DE 602007005988 T DE602007005988 T DE 602007005988T DE 602007005988 T DE602007005988 T DE 602007005988T DE 602007005988 D1 DE602007005988 D1 DE 602007005988D1
Authority
DE
Germany
Prior art keywords
function
geometry
geometries
planning
user
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
DE602007005988T
Other languages
English (en)
Inventor
Daniel Bystrov
Thomas Netsch
Stewart Young
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Philips Intellectual Property and Standards GmbH
Original Assignee
Philips Intellectual Property and Standards GmbH
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 Philips Intellectual Property and Standards GmbH filed Critical Philips Intellectual Property and Standards GmbH
Publication of DE602007005988D1 publication Critical patent/DE602007005988D1/de
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/543—Control of the operation of the MR system, e.g. setting of acquisition parameters prior to or during MR data acquisition, dynamic shimming, use of one or more scout images for scan plane prescription
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/5608—Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels
DE602007005988T 2006-02-24 2007-02-12 Automatisiertes robustes verfahren zum erlernen von geometrien für mr-untersuchungen Active DE602007005988D1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP06110369 2006-02-24
PCT/IB2007/050452 WO2007096804A1 (en) 2006-02-24 2007-02-12 Automated robust learning of geometries for mr-examinations

Publications (1)

Publication Number Publication Date
DE602007005988D1 true DE602007005988D1 (de) 2010-06-02

Family

ID=38036388

Family Applications (1)

Application Number Title Priority Date Filing Date
DE602007005988T Active DE602007005988D1 (de) 2006-02-24 2007-02-12 Automatisiertes robustes verfahren zum erlernen von geometrien für mr-untersuchungen

Country Status (7)

Country Link
US (1) US8144955B2 (de)
EP (1) EP1989684B1 (de)
JP (1) JP5106426B2 (de)
CN (1) CN101390132A (de)
AT (1) ATE465473T1 (de)
DE (1) DE602007005988D1 (de)
WO (1) WO2007096804A1 (de)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1989684B1 (de) * 2006-02-24 2010-04-21 Koninklijke Philips Electronics N.V. Automatisiertes robustes verfahren zum erlernen von geometrien für mr-untersuchungen
WO2008007281A2 (en) 2006-07-06 2008-01-17 Koninklijke Philips Electronics N.V. A method, an apparatus, a system and a computer program for transferring scan geometry between subsequent scans
WO2009050676A1 (en) * 2007-10-17 2009-04-23 Koninklijke Philips Electronics N.V. Pathology-related magnetic resonance imaging
US8885904B2 (en) 2012-04-19 2014-11-11 General Electric Company Systems and methods for landmark correction in magnetic resonance imaging
US9113781B2 (en) 2013-02-07 2015-08-25 Siemens Aktiengesellschaft Method and system for on-site learning of landmark detection models for end user-specific diagnostic medical image reading
WO2014155238A1 (en) 2013-03-27 2014-10-02 Koninklijke Philips N.V. Preferred view generation on structure level based on user preferences
EP3262433A1 (de) * 2015-02-24 2018-01-03 Koninklijke Philips N.V. Scan-geometrie-planungsverfahren für mrt oder ct
EP4189588A1 (de) 2020-07-31 2023-06-07 Koninklijke Philips N.V. Landmarkendetektion in medizinischen bildern

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5321520A (en) * 1992-07-20 1994-06-14 Automated Medical Access Corporation Automated high definition/resolution image storage, retrieval and transmission system
US5825908A (en) 1995-12-29 1998-10-20 Medical Media Systems Anatomical visualization and measurement system
US6195409B1 (en) * 1998-05-22 2001-02-27 Harbor-Ucla Research And Education Institute Automatic scan prescription for tomographic imaging
US6975897B2 (en) 2001-03-16 2005-12-13 Ge Medical Systems Global Technology Company, Llc Short/long axis cardiac display protocol
JP2004524942A (ja) * 2001-05-16 2004-08-19 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 断層撮像パラメータの自動指示
US7286866B2 (en) 2001-11-05 2007-10-23 Ge Medical Systems Global Technology Company, Llc Method, system and computer product for cardiac interventional procedure planning
US20050096530A1 (en) 2003-10-29 2005-05-05 Confirma, Inc. Apparatus and method for customized report viewer
DE10357205A1 (de) 2003-12-08 2005-07-14 Siemens Ag Verfahren zur Erzeugung von Ergebnis-Bildern eines Untersuchungsobjekts
US7394946B2 (en) * 2004-05-18 2008-07-01 Agfa Healthcare Method for automatically mapping of geometric objects in digital medical images
JP4754565B2 (ja) * 2004-07-27 2011-08-24 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 画像化ジオメトリのパラメタの自動決定
JP4691158B2 (ja) * 2005-06-16 2011-06-01 ストライダー ラブス，インコーポレイテッド 三次元クラスモデルを用いた二次元画像における認識システムおよび方法
EP1989684B1 (de) * 2006-02-24 2010-04-21 Koninklijke Philips Electronics N.V. Automatisiertes robustes verfahren zum erlernen von geometrien für mr-untersuchungen
US20080201319A1 (en) * 2006-04-25 2008-08-21 Mcnamar Richard Timothy Method, system and computer software for using an XBRL medical record for diagnosis, treatment, and insurance coverage

Also Published As

Publication number Publication date
ATE465473T1 (de) 2010-05-15
EP1989684B1 (de) 2010-04-21
US8144955B2 (en) 2012-03-27
JP2009527313A (ja) 2009-07-30
CN101390132A (zh) 2009-03-18
JP5106426B2 (ja) 2012-12-26
US20090067696A1 (en) 2009-03-12
WO2007096804A1 (en) 2007-08-30
EP1989684A1 (de) 2008-11-12

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