RU2019104619A - Корректируемая магнитно-резонансная томография со сжатым восприятием - Google Patents
Корректируемая магнитно-резонансная томография со сжатым восприятием Download PDFInfo
- Publication number
- RU2019104619A RU2019104619A RU2019104619A RU2019104619A RU2019104619A RU 2019104619 A RU2019104619 A RU 2019104619A RU 2019104619 A RU2019104619 A RU 2019104619A RU 2019104619 A RU2019104619 A RU 2019104619A RU 2019104619 A RU2019104619 A RU 2019104619A
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- RU
- Russia
- Prior art keywords
- magnetic resonance
- data
- measured
- resonance imaging
- imaging system
- Prior art date
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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
- G01R33/56—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
-
- 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
- G01R33/561—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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- High Energy & Nuclear Physics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Signal Processing (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (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 (1)
| Publication Number | Publication Date |
|---|---|
| RU2019104619A true RU2019104619A (ru) | 2020-08-21 |
Family
ID=56507473
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| RU2019104619A RU2019104619A (ru) | 2016-07-21 | 2017-07-14 | Корректируемая магнитно-резонансная томография со сжатым восприятием |
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 |
Family Cites Families (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5470271B2 (ja) * | 2007-12-20 | 2014-04-16 | ウイスコンシン アラムナイ リサーチ ファウンデーシヨン | ダイナミック先験的画像制限画像再構成法 |
| 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 |
| EP2580696B1 (en) * | 2010-06-11 | 2025-08-06 | Hitachi Energy Ltd | Detecting state estimation network model data errors |
| CN103502831B (zh) | 2011-04-21 | 2016-08-31 | 皇家飞利浦有限公司 | 对运动中目标的磁共振成像 |
| US8768034B2 (en) * | 2012-03-20 | 2014-07-01 | Siemens Medical Solutions Usa, Inc. | Motion compensated MR imaging system |
| 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 |
| EP2728371B1 (en) | 2012-11-02 | 2022-07-27 | Universitätsklinikum Freiburg | Segmented 3D Cartesian MR data acquisition using a randomized sampling pattern for compressed sensing image reconstruction |
| 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 |
| 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 |
| US9476712B2 (en) | 2013-07-31 | 2016-10-25 | Honeywell International Inc. | MEMS device mechanism enhancement for robust operation through severe shock and acceleration |
| CN105874346B (zh) * | 2013-12-10 | 2019-10-18 | 皇家飞利浦有限公司 | 使用在放大视场中的内插计算mri rf线圈灵敏度 |
| WO2015086415A1 (en) | 2013-12-12 | 2015-06-18 | Koninklijke Philips N.V. | Mr imaging using multi-echo segmented k-space acquisition |
| 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 |
| CN105005012B (zh) * | 2015-06-05 | 2017-09-26 | 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 |
| 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 |
| CN116741352A (zh) * | 2017-11-24 | 2023-09-12 | 佳能医疗系统株式会社 | 医用数据处理装置、磁共振成像装置及学习完毕模型生成方法 |
-
2017
- 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 US US16/317,592 patent/US10698064B2/en active Active
- 2017-07-14 RU RU2019104619A patent/RU2019104619A/ru not_active Application Discontinuation
- 2017-07-14 JP JP2019502637A patent/JP6932181B2/ja active Active
- 2017-07-14 CN CN201780045151.0A patent/CN109477878B/zh active Active
Also Published As
| Publication number | Publication date |
|---|---|
| EP3500869B1 (en) | 2021-02-24 |
| CN109477878B (zh) | 2021-08-24 |
| CN109477878A (zh) | 2019-03-15 |
| WO2018015298A1 (en) | 2018-01-25 |
| BR112019001002A2 (pt) | 2019-05-14 |
| US20190242965A1 (en) | 2019-08-08 |
| JP2019530486A (ja) | 2019-10-24 |
| JP6932181B2 (ja) | 2021-09-08 |
| EP3500869A1 (en) | 2019-06-26 |
| US10698064B2 (en) | 2020-06-30 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FA93 | Acknowledgement of application withdrawn (no request for examination) |
Effective date: 20200715 |