JP7507793B2 - オフ共鳴アーチファクト補正を伴うスパイラルｍｒ撮像 - Google Patents

オフ共鳴アーチファクト補正を伴うスパイラルｍｒ撮像 Download PDF

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JP7507793B2
JP7507793B2 JP2021571885A JP2021571885A JP7507793B2 JP 7507793 B2 JP7507793 B2 JP 7507793B2 JP 2021571885 A JP2021571885 A JP 2021571885A JP 2021571885 A JP2021571885 A JP 2021571885A JP 7507793 B2 JP7507793 B2 JP 7507793B2
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JP2022535548A (ja
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ペーター ボルネート
カルステン ソマー
クリストフ ミハエル ジーン シュルケ
デン ブリンク ヨハン サムエル ファン
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Koninklijke Philips NV
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/80—Geometric correction
    • 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
    • G01R33/4818—MR characterised by data acquisition along a specific k-space trajectory or by the temporal order of k-space coverage, e.g. centric or segmented coverage of k-space
    • G01R33/4824—MR characterised by data acquisition along a specific k-space trajectory or by the temporal order of k-space coverage, e.g. centric or segmented coverage of k-space using a non-Cartesian trajectory
    • 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
    • G01R33/561—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
    • G01R33/5611—Parallel magnetic resonance imaging, e.g. sensitivity encoding [SENSE], simultaneous acquisition of spatial harmonics [SMASH], unaliasing by Fourier encoding of the overlaps using the temporal dimension [UNFOLD], k-t-broad-use linear acquisition speed-up technique [k-t-BLAST], k-t-SENSE
    • 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
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T12/00—Tomographic reconstruction from projections
    • G06T12/30—Image post-processing, e.g. metal artefact correction
    • 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
    • G01R33/56536—Correction of image distortions, e.g. due to magnetic field inhomogeneities due to magnetic susceptibility variations
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Biophysics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
JP2021571885A 2019-06-04 2020-06-03 オフ共鳴アーチファクト補正を伴うスパイラルｍｒ撮像 Active JP7507793B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP19178061.8 2019-06-04
EP19178061.8A EP3748384A1 (en) 2019-06-04 2019-06-04 Spiral mr imaging with off-resonance artefact correction
PCT/EP2020/065273 WO2020245144A1 (en) 2019-06-04 2020-06-03 Spiral mr imaging with off-resonance artefact correction

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JP2022535548A JP2022535548A (ja) 2022-08-09
JP2022535548A5 JP2022535548A5 (enExample) 2023-10-31
JP7507793B2 true JP7507793B2 (ja) 2024-06-28

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US (1) US11867784B2 (enExample)
EP (2) EP3748384A1 (enExample)
JP (1) JP7507793B2 (enExample)
CN (1) CN113939846B (enExample)
WO (1) WO2020245144A1 (enExample)

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JP2023038799A (ja) * 2021-09-07 2023-03-17 キヤノンメディカルシステムズ株式会社 データ処理装置、磁気共鳴イメージング装置及びデータ処理方法
CN115187449A (zh) * 2022-06-20 2022-10-14 湖南大学 一种基于透视变换的提高对抗样本迁移性的方法
CN115327459B (zh) * 2022-08-18 2025-10-17 深圳市联影高端医疗装备创新研究院 一种并行发射局部激发脉冲生成方法、装置和存储介质
CN118549870B (zh) * 2024-06-20 2025-11-07 厦门大学 多扫描磁共振图像的流动伪影校正方法及系统

Citations (5)

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US20050058368A1 (en) 2003-06-27 2005-03-17 Hisamoto Moriguchi Efficient method for MR image reconstruction using coil sensitivity encoding
JP2015531251A (ja) 2012-09-04 2015-11-02 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． ディクソン水脂肪分離を用いるプロペラ
JP2017064175A (ja) 2015-09-30 2017-04-06 株式会社日立製作所 磁気共鳴イメージング装置、および、画像処理装置
CN109242924A (zh) 2018-08-31 2019-01-18 南方医科大学 一种基于深度学习的核磁共振图像的降采样伪影去除方法
US20190147588A1 (en) 2017-11-13 2019-05-16 Siemens Healthcare Gmbh Artifact identification and/or correction for medical imaging

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US5617028A (en) * 1995-03-09 1997-04-01 Board Of Trustees Of The Leland Stanford Junior University Magnetic field inhomogeneity correction in MRI using estimated linear magnetic field map
WO2004086060A2 (en) 2003-03-20 2004-10-07 Case Western Reserve University Chemical species suppression for mri imaging using spiral trajectories with off-resonance correction
CN1327809C (zh) * 2005-03-28 2007-07-25 南方医科大学 在t1加权磁共振成像中用propeller采样方式消除运动伪影的方法
US7642777B1 (en) 2006-08-21 2010-01-05 University Of Virginia Patent Foundation Fast automatic linear off-resonance correction method for spiral imaging
US8238634B1 (en) 2007-02-23 2012-08-07 University Of Virginia Patent Foundation Efficient off-resonance correction method and system for spiral imaging with improved accuracy
DE102008007048B4 (de) * 2008-01-31 2010-06-17 Siemens Aktiengesellschaft Dynamische Verzeichnungskorrektur bei EPI-Messungen in der medizinischen Magnet-Resonanz-Bildgebung
US9322896B2 (en) 2012-04-20 2016-04-26 University Of Virginia Patent Foundation Systems and methods for reduced off-resonance blurring in spiral imaging
US9964615B2 (en) * 2013-03-21 2018-05-08 Koninklijke Philips N.V. MR image reconstruction using compressed sensing
WO2017009391A1 (en) * 2015-07-15 2017-01-19 Koninklijke Philips N.V. Mr imaging with motion detection
CN107945132B (zh) * 2017-11-29 2022-10-04 深圳安科高技术股份有限公司 一种基于神经网络的ct图像的伪影校正方法及装置
CN108132274B (zh) * 2017-12-21 2019-08-16 厦门大学 不均匀磁场下回波平面成像无参考扫描图像畸变矫正方法
US11681001B2 (en) * 2018-03-09 2023-06-20 The Board Of Trustees Of The Leland Stanford Junior University Deep learning method for nonstationary image artifact correction
US10915990B2 (en) * 2018-10-18 2021-02-09 General Electric Company Systems and methods for denoising medical images with deep learning network
CN109741409A (zh) * 2018-11-30 2019-05-10 厦门大学 回波平面成像涡流伪影的无参考扫描校正方法

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Publication number Priority date Publication date Assignee Title
US20050058368A1 (en) 2003-06-27 2005-03-17 Hisamoto Moriguchi Efficient method for MR image reconstruction using coil sensitivity encoding
JP2015531251A (ja) 2012-09-04 2015-11-02 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． ディクソン水脂肪分離を用いるプロペラ
JP2017064175A (ja) 2015-09-30 2017-04-06 株式会社日立製作所 磁気共鳴イメージング装置、および、画像処理装置
US20190147588A1 (en) 2017-11-13 2019-05-16 Siemens Healthcare Gmbh Artifact identification and/or correction for medical imaging
CN109242924A (zh) 2018-08-31 2019-01-18 南方医科大学 一种基于深度学习的核磁共振图像的降采样伪影去除方法

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KUESTNER et al.，SIMULTANEOUS DETECTION AND IDENTIFICATION OF MR ARTIFACT TYPES IN WHOLE-BODY IMAGING，PROCEEDINGS OF THE INTERNATIONAL SOCIETY FOR MAGNETIC RESONANCE IN MEDICINE，JOINT ANNUAL MEETING ISMRM-ESMRMB，2018年06月16日，1-3，https://cds.ismrm.org/protected/18MProceedings/PDFfiles/0430.html

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US20220229134A1 (en) 2022-07-21
JP2022535548A (ja) 2022-08-09
EP3980801A1 (en) 2022-04-13
EP3980801B1 (en) 2024-09-04
US11867784B2 (en) 2024-01-09
CN113939846B (zh) 2025-06-17
EP3748384A1 (en) 2020-12-09
CN113939846A (zh) 2022-01-14
WO2020245144A1 (en) 2020-12-10

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