DE112020002013T5 - Automatisierte Detektion von Wasser-Fett-Vertauschungen in der Dixon-Magnetresonanzbildgebung - Google Patents

Automatisierte Detektion von Wasser-Fett-Vertauschungen in der Dixon-Magnetresonanzbildgebung Download PDF

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Publication number
DE112020002013T5
DE112020002013T5 DE112020002013.4T DE112020002013T DE112020002013T5 DE 112020002013 T5 DE112020002013 T5 DE 112020002013T5 DE 112020002013 T DE112020002013 T DE 112020002013T DE 112020002013 T5 DE112020002013 T5 DE 112020002013T5
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Prior art keywords
magnetic resonance
fat
water
dixon
image
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Pending
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DE112020002013.4T
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German (de)
English (en)
Inventor
Karsten Sommer
Steffen Weiss
Holger Eggers
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Koninklijke Philips NV
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Koninklijke Philips NV
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Publication of DE112020002013T5 publication Critical patent/DE112020002013T5/de
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    • 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
    • G01R33/4828—Resolving the MR signals of different chemical species, e.g. water-fat imaging
    • 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
    • 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
    • G01R33/565—Correction of image distortions, e.g. due to magnetic field inhomogeneities
    • G01R33/56563—Correction of image distortions, e.g. due to magnetic field inhomogeneities caused by a distortion of the main magnetic field B0, e.g. temporal variation of the magnitude or spatial inhomogeneity of B0
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • 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
    • G01R33/565—Correction of image distortions, e.g. due to magnetic field inhomogeneities
    • G01R33/56527—Correction of image distortions, e.g. due to magnetic field inhomogeneities due to chemical shift effects

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Signal Processing (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
DE112020002013.4T 2019-04-19 2020-04-09 Automatisierte Detektion von Wasser-Fett-Vertauschungen in der Dixon-Magnetresonanzbildgebung Pending DE112020002013T5 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP19170373.5A EP3726240A1 (en) 2019-04-19 2019-04-19 Automated detection of water-fat swaps in dixon magnetic resonance imaging
EP19170373.5 2019-04-19
PCT/EP2020/060138 WO2020212244A1 (en) 2019-04-19 2020-04-09 Automated detection of water-fat swaps in dixon magnetic resonance imaging

Publications (1)

Publication Number Publication Date
DE112020002013T5 true DE112020002013T5 (de) 2022-01-27

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ID=66239969

Family Applications (1)

Application Number Title Priority Date Filing Date
DE112020002013.4T Pending DE112020002013T5 (de) 2019-04-19 2020-04-09 Automatisierte Detektion von Wasser-Fett-Vertauschungen in der Dixon-Magnetresonanzbildgebung

Country Status (7)

Country Link
US (1) US11906608B2 (https=)
EP (1) EP3726240A1 (https=)
JP (1) JP2022529944A (https=)
CN (1) CN113711076B (https=)
DE (1) DE112020002013T5 (https=)
GB (1) GB2597218B (https=)
WO (1) WO2020212244A1 (https=)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3885780A1 (en) * 2020-03-26 2021-09-29 Koninklijke Philips N.V. Magnetic resonance imaging of breast micro-calcifications
DE102020215031A1 (de) * 2020-11-30 2022-06-02 Siemens Healthcare Gmbh Computerimplementiertes Verfahren zur Auswertung von Magnetresonanzdaten, Magnetresonanzeinrichtung, Computerprogramm und elektronisch lesbarer Datenträger
CN117148244A (zh) * 2022-05-24 2023-12-01 上海联影医疗科技股份有限公司 图像水脂分离方法、装置、设备和计算机可读存储介质
CN117653026B (zh) * 2023-11-03 2024-09-20 浙江大学 一种人体组织水分含量测量方法、系统、电子设备及介质

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170082713A1 (en) 2015-09-22 2017-03-23 Siemens Healthcare Gmbh Method and magnetic resonance apparatus for automatic assignment of a spin species to a combination image

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6091243A (en) * 1997-11-13 2000-07-18 The University Of British Columbia Water-fat imaging with direct phase encoding (DPE)
US7298144B2 (en) * 2005-05-06 2007-11-20 The Board Of Trustee Of The Leland Stanford Junior University Homodyne reconstruction of water and fat images based on iterative decomposition of MRI signals
EP3112890A1 (en) * 2008-04-17 2017-01-04 Advanced MR Analytics AB Improved magnetic resonance images
US8064674B2 (en) 2008-11-03 2011-11-22 Siemens Aktiengesellschaft Robust classification of fat and water images from 1-point-Dixon reconstructions
DE102010061974B4 (de) * 2010-11-25 2013-01-03 Siemens Aktiengesellschaft NMR-Verfahren und MR-Vorrichtung zur Phasenkorrektur bei gemischten Geweben
EP2610632A1 (en) 2011-12-29 2013-07-03 Koninklijke Philips Electronics N.V. MRI with Dixon-type water/fat separation and prior knowledge about inhomogeneity of the main magnetic field
CN104603629B (zh) * 2012-09-04 2017-06-13 皇家飞利浦有限公司 具有狄克逊水脂分离的propeller
WO2015028481A1 (en) * 2013-08-30 2015-03-05 Koninklijke Philips N.V. Dixon magnetic resonance imaging
US10359488B2 (en) * 2013-11-07 2019-07-23 Siemens Healthcare Gmbh Signal component identification using medical imaging
US10591562B2 (en) * 2015-06-12 2020-03-17 Koninklijke Philips N.V. Bone MRI using B0 inhomogeneity map and a subject magnetic susceptibility map
US10304198B2 (en) * 2016-09-26 2019-05-28 Siemens Healthcare Gmbh Automatic medical image retrieval

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170082713A1 (en) 2015-09-22 2017-03-23 Siemens Healthcare Gmbh Method and magnetic resonance apparatus for automatic assignment of a spin species to a combination image

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Publication number Publication date
JP2022529944A (ja) 2022-06-27
US20220196769A1 (en) 2022-06-23
CN113711076A (zh) 2021-11-26
US11906608B2 (en) 2024-02-20
GB2597218B (en) 2023-07-05
EP3726240A1 (en) 2020-10-21
GB202116627D0 (en) 2022-01-05
CN113711076B (zh) 2025-02-18
WO2020212244A1 (en) 2020-10-22
GB2597218A (en) 2022-01-19

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