CN115552272A - 使用多个磁共振成像系统配置对磁共振图像的校正 - Google Patents
使用多个磁共振成像系统配置对磁共振图像的校正 Download PDFInfo
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- CN115552272A CN115552272A CN202180034897.8A CN202180034897A CN115552272A CN 115552272 A CN115552272 A CN 115552272A CN 202180034897 A CN202180034897 A CN 202180034897A CN 115552272 A CN115552272 A CN 115552272A
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- G—PHYSICS
- G01—MEASURING; TESTING
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- 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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- G01R33/567—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution gated by physiological signals, i.e. synchronization of acquired MR data with periodical motion of an object of interest, e.g. monitoring or triggering system for cardiac or respiratory gating
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- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
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Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
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| US202063022925P | 2020-05-11 | 2020-05-11 | |
| US63/022,925 | 2020-05-11 | ||
| EP20176989.0 | 2020-05-28 | ||
| EP20176989.0A EP3916417A1 (en) | 2020-05-28 | 2020-05-28 | Correction of magnetic resonance images using multiple magnetic resonance imaging system configurations |
| PCT/EP2021/060286 WO2021228515A1 (en) | 2020-05-11 | 2021-04-21 | Correction of magnetic resonance images using multiple magnetic resonance imaging system configurations |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115552272A true CN115552272A (zh) | 2022-12-30 |
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Family Applications (1)
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| CN202180034897.8A Pending CN115552272A (zh) | 2020-05-11 | 2021-04-21 | 使用多个磁共振成像系统配置对磁共振图像的校正 |
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| US (1) | US12067652B2 (https=) |
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| JP (1) | JP7757314B2 (https=) |
| CN (1) | CN115552272A (https=) |
| WO (1) | WO2021228515A1 (https=) |
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| EP3828579A1 (en) * | 2019-11-28 | 2021-06-02 | Koninklijke Philips N.V. | Adaptive reconstruction of magnetic resonance images |
| US11828824B2 (en) * | 2021-03-17 | 2023-11-28 | GE Precision Healthcare LLC | System and method for deep learning-based accelerated magnetic resonance imaging with extended field of view coil sensitivity calibration |
| US12555291B2 (en) * | 2021-04-27 | 2026-02-17 | Siemens Healthineers Ag | Method for automated regularization of hybrid K-space combination using a noise adjustment scan |
| US20230337987A1 (en) * | 2022-04-21 | 2023-10-26 | The General Hospital Corporation | Detecting motion artifacts from k-space data in segmentedmagnetic resonance imaging |
| US20240037815A1 (en) * | 2022-07-26 | 2024-02-01 | Siemens Healthcare Gmbh | Method and apparatus for accelerated acquisition and reconstruction of cine mri using a deep learning based convolutional neural network |
| EP4431967A1 (en) | 2023-03-13 | 2024-09-18 | Koninklijke Philips N.V. | Training of neural networks to generate synthetic three-dimensional magnetic resonance images |
| US20250005715A1 (en) * | 2023-06-30 | 2025-01-02 | The Regents Of The University Of California | Methods, apparatuses, systems and computer-readable mediums for correcting echo planar imaging artifacts |
| US20250314728A1 (en) * | 2024-04-08 | 2025-10-09 | GE Precision Healthcare LLC | System and method for detecting motion-ridden shots in multi-shot acquisitions and utilizing deep learning based reconstruction for motion correction |
| US12372369B1 (en) * | 2024-07-11 | 2025-07-29 | SB Technology, Inc. | Detecting and fixing map artifacts |
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| US20130088225A1 (en) * | 2011-10-06 | 2013-04-11 | Daniel Weller | System for Reconstructing MRI Images Acquired in Parallel |
| JP2016209336A (ja) * | 2015-05-11 | 2016-12-15 | 株式会社日立製作所 | 磁気共鳴イメージング装置 |
| CN109325985A (zh) * | 2018-09-18 | 2019-02-12 | 上海联影智能医疗科技有限公司 | 磁共振图像重建方法、装置和计算机可读存储介质 |
| EP3447520A1 (en) * | 2017-08-22 | 2019-02-27 | Koninklijke Philips N.V. | Data-driven correction of phase depending artefacts in a magnetic resonance imaging system |
| CN110095742A (zh) * | 2019-05-13 | 2019-08-06 | 上海东软医疗科技有限公司 | 一种基于神经网络的平面回波成像方法和装置 |
| CN110244246A (zh) * | 2019-07-03 | 2019-09-17 | 上海联影医疗科技有限公司 | 磁共振成像方法、装置、计算机设备和存储介质 |
| CN110333466A (zh) * | 2019-06-19 | 2019-10-15 | 东软医疗系统股份有限公司 | 一种基于神经网络的磁共振成像方法和装置 |
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| CN110807492A (zh) * | 2019-11-06 | 2020-02-18 | 厦门大学 | 一种磁共振多参数同时定量成像方法及系统 |
| CN110942496A (zh) * | 2019-12-13 | 2020-03-31 | 厦门大学 | 基于螺旋桨采样和神经网络的磁共振图像重建方法及系统 |
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2021
- 2021-04-21 EP EP21719164.2A patent/EP4150360A1/en active Pending
- 2021-04-21 JP JP2022568522A patent/JP7757314B2/ja active Active
- 2021-04-21 WO PCT/EP2021/060286 patent/WO2021228515A1/en not_active Ceased
- 2021-04-21 CN CN202180034897.8A patent/CN115552272A/zh active Pending
- 2021-04-21 US US17/923,617 patent/US12067652B2/en active Active
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Also Published As
| Publication number | Publication date |
|---|---|
| WO2021228515A1 (en) | 2021-11-18 |
| US12067652B2 (en) | 2024-08-20 |
| JP2023526008A (ja) | 2023-06-20 |
| EP3916417A1 (en) | 2021-12-01 |
| US20230186532A1 (en) | 2023-06-15 |
| EP4150360A1 (en) | 2023-03-22 |
| JP7757314B2 (ja) | 2025-10-21 |
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