CN109477878B - 运动校正的压缩感知磁共振成像 - Google Patents
运动校正的压缩感知磁共振成像 Download PDFInfo
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- CN109477878B CN109477878B CN201780045151.0A CN201780045151A CN109477878B CN 109477878 B CN109477878 B CN 109477878B CN 201780045151 A CN201780045151 A CN 201780045151A CN 109477878 B CN109477878 B CN 109477878B
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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
- G01R33/54—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
- G01R33/56509—Correction of image distortions, e.g. due to magnetic field inhomogeneities due to motion, displacement or flow, e.g. gradient moment nulling
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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
- G01R33/4818—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
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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
- G01R33/54—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
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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
- G01R33/54—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
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- Physics & Mathematics (AREA)
- High Energy & Nuclear Physics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Radiology & Medical Imaging (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP16180581 | 2016-07-21 | ||
| EP16180581.7 | 2016-07-21 | ||
| PCT/EP2017/067866 WO2018015298A1 (en) | 2016-07-21 | 2017-07-14 | Motion-corrected compressed sensing magnetic resonance imaging |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109477878A CN109477878A (zh) | 2019-03-15 |
| CN109477878B true CN109477878B (zh) | 2021-08-24 |
Family
ID=56507473
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201780045151.0A Active CN109477878B (zh) | 2016-07-21 | 2017-07-14 | 运动校正的压缩感知磁共振成像 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US10698064B2 (enExample) |
| EP (1) | EP3500869B1 (enExample) |
| JP (1) | JP6932181B2 (enExample) |
| CN (1) | CN109477878B (enExample) |
| RU (1) | RU2019104619A (enExample) |
| WO (1) | WO2018015298A1 (enExample) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3543725A1 (en) * | 2018-03-22 | 2019-09-25 | Koninklijke Philips N.V. | Self-navigation in three-dimensional magnetic resonance imaging |
| CN109040757B (zh) * | 2018-07-20 | 2020-11-10 | 西安交通大学 | 一种压缩感知多层残差图像编码方法 |
| JP7221681B2 (ja) * | 2018-12-28 | 2023-02-14 | キヤノンメディカルシステムズ株式会社 | 画像再構成方法、再構成装置、及び磁気共鳴イメージング装置 |
| US10950014B2 (en) | 2019-03-01 | 2021-03-16 | Canon Medical Systems Corporation | Method and apparatus for adaptive compressed sensing (CS) to correct motion artifacts in magnetic resonance imaging (MRI) |
| EP3719525A1 (en) * | 2019-04-01 | 2020-10-07 | Koninklijke Philips N.V. | Correction of magnetic resonance images using simulated magnetic resonance images |
| US10806370B1 (en) * | 2019-04-25 | 2020-10-20 | General Electric Company | MRI system and method for detection and correction of patient motion |
| US11280868B2 (en) * | 2019-06-19 | 2022-03-22 | GE Precision Healthcare LLC | Image enhancement with variable number of excitation (NEX) acquisitions accelerated using compressed sensing |
| EP3824814A1 (en) * | 2019-11-22 | 2021-05-26 | Koninklijke Philips N.V. | Assessment of measured tomographic data |
| EP3865892A1 (en) * | 2020-02-17 | 2021-08-18 | Koninklijke Philips N.V. | Iterative reconstruction of gradient echo magnetic resonance images |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103154934A (zh) * | 2010-06-11 | 2013-06-12 | Abb研究有限公司 | 检测状态估计网络模型数据误差 |
| CN103424420A (zh) * | 2013-01-31 | 2013-12-04 | 上海理工大学 | 一种基于拟合的核磁共振信号处理方法 |
| EP2728371A1 (en) * | 2012-11-02 | 2014-05-07 | Universitätsklinikum Freiburg | Segmented 3D Cartesian MR data acquisition using a randomized sampling pattern for compressed sensing image reconstruction |
| US8768034B2 (en) * | 2012-03-20 | 2014-07-01 | Siemens Medical Solutions Usa, Inc. | Motion compensated MR imaging system |
| CN105005012A (zh) * | 2015-06-05 | 2015-10-28 | 北京大学 | 基于压缩感知的腹部器官动态对比增强磁共振成像方法 |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8194937B2 (en) * | 2007-12-20 | 2012-06-05 | Wisconsin Alumni Research Foundation | Method for dynamic prior image constrained image reconstruction |
| US8472688B2 (en) * | 2008-04-17 | 2013-06-25 | Wisconsin Alumni Research Foundation | Method for image reconstruction employing sparsity-constrained iterative correction |
| CN102077108B (zh) * | 2008-04-28 | 2015-02-25 | 康奈尔大学 | 分子mri中的磁敏度精确量化 |
| GB2504642B (en) | 2011-04-21 | 2018-02-21 | Koninl Philips Electronics Nv | Magnetic resonance imaging of object inmotion |
| US9921285B2 (en) | 2012-04-19 | 2018-03-20 | New York University | System, method and computer-accessible medium for highly-accelerated dynamic magnetic resonance imaging using golden-angle radial sampling and compressed sensing |
| US9797974B2 (en) | 2013-01-30 | 2017-10-24 | The Board Of Trustees Of The Leland Stanford Junior University | Nonrigid motion correction in 3D using autofocusing with localized linear translations |
| US9476712B2 (en) | 2013-07-31 | 2016-10-25 | Honeywell International Inc. | MEMS device mechanism enhancement for robust operation through severe shock and acceleration |
| EP3080635A1 (en) * | 2013-12-10 | 2016-10-19 | Koninklijke Philips N.V. | Calculating mri rf coil sensitivities using interpolation into an enlarged field of view |
| CN106030329B (zh) | 2013-12-12 | 2019-09-27 | 皇家飞利浦有限公司 | 使用多回波分段k空间采集的MR成像方法 |
| JP6494986B2 (ja) | 2014-01-16 | 2019-04-03 | キヤノンメディカルシステムズ株式会社 | 磁気共鳴イメージング装置及び画像処理装置 |
| JP6072723B2 (ja) * | 2014-04-21 | 2017-02-01 | 株式会社日立製作所 | 磁気共鳴イメージング装置、及び画像撮像方法 |
| US9770223B2 (en) * | 2014-09-09 | 2017-09-26 | Wisconsin Alumni Research Foundation | System and method for accelerated, time-resolved imaging |
| US9846214B2 (en) * | 2014-12-29 | 2017-12-19 | Toshiba Medical Systems Corporation | Magnetic resonance image reconstruction for undersampled data acquisitions |
| US10310047B2 (en) * | 2016-04-21 | 2019-06-04 | University Of Virginia Patent Foundation | Systems and methods for free-breathing cine DENSE MRI using self-navigation |
| JP6545887B2 (ja) * | 2017-11-24 | 2019-07-17 | キヤノンメディカルシステムズ株式会社 | 医用データ処理装置、磁気共鳴イメージング装置及び学習済みモデル生成方法 |
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2017
- 2017-07-14 JP JP2019502637A patent/JP6932181B2/ja active Active
- 2017-07-14 RU RU2019104619A patent/RU2019104619A/ru not_active Application Discontinuation
- 2017-07-14 EP EP17737301.6A patent/EP3500869B1/en active Active
- 2017-07-14 WO PCT/EP2017/067866 patent/WO2018015298A1/en not_active Ceased
- 2017-07-14 CN CN201780045151.0A patent/CN109477878B/zh active Active
- 2017-07-14 US US16/317,592 patent/US10698064B2/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103154934A (zh) * | 2010-06-11 | 2013-06-12 | Abb研究有限公司 | 检测状态估计网络模型数据误差 |
| US8768034B2 (en) * | 2012-03-20 | 2014-07-01 | Siemens Medical Solutions Usa, Inc. | Motion compensated MR imaging system |
| EP2728371A1 (en) * | 2012-11-02 | 2014-05-07 | Universitätsklinikum Freiburg | Segmented 3D Cartesian MR data acquisition using a randomized sampling pattern for compressed sensing image reconstruction |
| CN103424420A (zh) * | 2013-01-31 | 2013-12-04 | 上海理工大学 | 一种基于拟合的核磁共振信号处理方法 |
| CN105005012A (zh) * | 2015-06-05 | 2015-10-28 | 北京大学 | 基于压缩感知的腹部器官动态对比增强磁共振成像方法 |
Non-Patent Citations (4)
| Title |
|---|
| Compressed-Sensing Motion Compensation (CosMo): A Joint Prospective–Retrospective Respiratory Navigator for Coronary MRI;Mehdi H.Moghari et al.;《Magnetic Resonance in Medicine》;20110610;第66卷(第6期);第1674-1681页 * |
| Joint Image Reconstruction and Motion Parameter Estimation for Free-Breathing Navigator-Gated Cardiac MRI;Mehmet Akcakaya et al.;《Proc. of SPIE》;20130926;第8858卷;第885820页 * |
| POCS-Enhanced Correction of Motion Artifacts in Parallel MRI;Alexey A.Samsonov et al.;《Magnetic Resonance in Medicine》;20100401;第63卷(第4期);第1104-1110页 * |
| Whole-Heart Coronary MRA with 100% Respiratory Gating Efficiency: Self-Navigated Three-Dimensional Retrospective Image-Based Motion Correction (TRIM);Jianing Pang et al.;《Magn Reson Med》;20130207;第71卷(第1期);第67-74页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2018015298A1 (en) | 2018-01-25 |
| JP6932181B2 (ja) | 2021-09-08 |
| US10698064B2 (en) | 2020-06-30 |
| EP3500869A1 (en) | 2019-06-26 |
| BR112019001002A2 (pt) | 2019-05-14 |
| RU2019104619A (ru) | 2020-08-21 |
| EP3500869B1 (en) | 2021-02-24 |
| CN109477878A (zh) | 2019-03-15 |
| JP2019530486A (ja) | 2019-10-24 |
| US20190242965A1 (en) | 2019-08-08 |
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