SG11202010238PA - Systems and methods for improving magnetic resonance imaging using deep learning - Google Patents
Systems and methods for improving magnetic resonance imaging using deep learningInfo
- Publication number
- SG11202010238PA SG11202010238PA SG11202010238PA SG11202010238PA SG11202010238PA SG 11202010238P A SG11202010238P A SG 11202010238PA SG 11202010238P A SG11202010238P A SG 11202010238PA SG 11202010238P A SG11202010238P A SG 11202010238PA SG 11202010238P A SG11202010238P A SG 11202010238PA
- Authority
- SG
- Singapore
- Prior art keywords
- systems
- methods
- magnetic resonance
- deep learning
- resonance imaging
- Prior art date
Links
- 238000013135 deep learning Methods 0.000 title 1
- 238000002595 magnetic resonance imaging Methods 0.000 title 1
- 238000000034 method Methods 0.000 title 1
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
- G01R33/561—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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
-
- 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
-
- 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
-
- 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
- G01R33/56545—Correction of image distortions, e.g. due to magnetic field inhomogeneities caused by finite or discrete sampling, e.g. Gibbs ringing, truncation artefacts, phase aliasing artefacts
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/60—Image enhancement or restoration using machine learning, e.g. neural networks
-
- 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
- G01R33/546—Interface between the MR system and the user, e.g. for controlling the operation of the MR system or for the design of pulse sequences
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/24—Indexing scheme for image data processing or generation, in general involving graphical user interfaces [GUIs]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20004—Adaptive image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Signal Processing (AREA)
- High Energy & Nuclear Physics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Artificial Intelligence (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Surgery (AREA)
- Medical Informatics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Fuzzy Systems (AREA)
- Evolutionary Computation (AREA)
- Psychiatry (AREA)
- Physiology (AREA)
- Mathematical Physics (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862659837P | 2018-04-19 | 2018-04-19 | |
PCT/US2019/027826 WO2019204406A1 (en) | 2018-04-19 | 2019-04-17 | Systems and methods for improving magnetic resonance imaging using deep learning |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202010238PA true SG11202010238PA (en) | 2020-11-27 |
Family
ID=68239908
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202010238PA SG11202010238PA (en) | 2018-04-19 | 2019-04-17 | Systems and methods for improving magnetic resonance imaging using deep learning |
Country Status (9)
Country | Link |
---|---|
US (4) | US20190347772A1 (en) |
EP (1) | EP3781033A4 (en) |
JP (2) | JP7351847B2 (en) |
KR (1) | KR20210005633A (en) |
CN (1) | CN111989039A (en) |
AU (1) | AU2019256304A1 (en) |
BR (1) | BR112020021311A2 (en) |
SG (1) | SG11202010238PA (en) |
WO (1) | WO2019204406A1 (en) |
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AU2019256304A1 (en) | 2018-04-19 | 2020-11-26 | Subtle Medical, Inc. | Systems and methods for improving magnetic resonance imaging using deep learning |
US10755391B2 (en) * | 2018-05-15 | 2020-08-25 | Adobe Inc. | Digital image completion by learning generation and patch matching jointly |
US11741580B2 (en) * | 2018-09-14 | 2023-08-29 | The Johns Hopkins University | Machine learning processing of contiguous slice image data |
CN109658471B (en) * | 2018-12-20 | 2023-07-25 | 上海联影医疗科技股份有限公司 | Medical image reconstruction method and system |
US11294014B2 (en) * | 2019-03-07 | 2022-04-05 | Washington University | Methods and systems for real-time 3D MRI |
US12002203B2 (en) | 2019-03-12 | 2024-06-04 | Bayer Healthcare Llc | Systems and methods for assessing a likelihood of CTEPH and identifying characteristics indicative thereof |
US11714152B2 (en) * | 2019-04-26 | 2023-08-01 | Regents Of The University Of Minnesota | Methods for scan-specific artifact reduction in accelerated magnetic resonance imaging using residual machine learning algorithms |
EP3772720B1 (en) * | 2019-08-08 | 2021-09-29 | Siemens Healthcare GmbH | Method and system for image analysis |
US11568584B2 (en) * | 2019-08-26 | 2023-01-31 | Shanghai United Imaging Intelligence Co., Ltd. | Systems and methods for magnetic resonance imaging |
EP4231037A1 (en) | 2019-09-18 | 2023-08-23 | Bayer Aktiengesellschaft | Acceleration of mri examinations |
WO2021052850A1 (en) | 2019-09-18 | 2021-03-25 | Bayer Aktiengesellschaft | Generation of mri images of the liver |
CN117582208A (en) | 2019-09-18 | 2024-02-23 | 拜耳公司 | Method, system and computer readable medium for determining characteristics of tissue voxels |
EP4241672A3 (en) | 2019-10-11 | 2023-11-15 | Bayer Aktiengesellschaft | Acceleration of mri examinations |
US20210118200A1 (en) * | 2019-10-21 | 2021-04-22 | Regents Of The University Of Minnesota | Systems and methods for training machine learning algorithms for inverse problems without fully sampled reference data |
CN110958722B (en) * | 2019-11-29 | 2023-05-09 | 洛阳理工学院 | Wireless image sensor network energy saving method based on super-resolution technology under cloud assistance |
US11348291B2 (en) * | 2019-11-29 | 2022-05-31 | Shanghai United Imaging Intelligence Co., Ltd. | System and method for reconstructing magnetic resonance images |
US20230021568A1 (en) * | 2020-01-10 | 2023-01-26 | Carestream Health, Inc. | Method and system to predict prognosis for critically ill patients |
EP3855200A1 (en) * | 2020-01-22 | 2021-07-28 | Siemens Healthcare GmbH | Artifact and/or noise reduction for magnetic resonance fingerprinting data based on a neural network |
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CN111767946B (en) * | 2020-06-19 | 2024-03-22 | 北京康夫子健康技术有限公司 | Medical image hierarchical model training and predicting method, device, equipment and medium |
CN114325519A (en) * | 2020-09-30 | 2022-04-12 | 西门子(深圳)磁共振有限公司 | Local coil, system receiver, wireless transmission system, method and imaging system |
JP2022070036A (en) * | 2020-10-26 | 2022-05-12 | キヤノン株式会社 | Medical image processing device, medical image processing method, and program |
KR102514804B1 (en) * | 2021-02-19 | 2023-03-29 | 한국과학기술원 | Magnetic resonace image processing method based on unsupervised learning and apparatus therefor |
WO2022184298A1 (en) | 2021-03-02 | 2022-09-09 | Bayer Aktiengesellschaft | System, method, and computer program product for contrast-enhanced radiology using machine learning |
US20240153163A1 (en) | 2021-03-09 | 2024-05-09 | Bayer Aktiengesellschaft | Machine learning in the field of contrast-enhanced radiology |
KR102475397B1 (en) * | 2021-04-08 | 2022-12-08 | 주식회사 에어스메디컬 | Magnetic resonance image processing apparatus and method with slice resolution enhancement applied |
US11763429B2 (en) | 2021-05-19 | 2023-09-19 | GE Precision Healthcare LLC | Deep learning based medical system and method for image acquisition |
CN113359077A (en) * | 2021-06-08 | 2021-09-07 | 苏州深透智能科技有限公司 | Magnetic resonance imaging method and related equipment |
CN113191955A (en) * | 2021-06-17 | 2021-07-30 | 江苏奥易克斯汽车电子科技股份有限公司 | Method and device for reconstructing image super-resolution |
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-
2019
- 2019-04-17 AU AU2019256304A patent/AU2019256304A1/en active Pending
- 2019-04-17 US US16/387,161 patent/US20190347772A1/en not_active Abandoned
- 2019-04-17 JP JP2020555376A patent/JP7351847B2/en active Active
- 2019-04-17 KR KR1020207032838A patent/KR20210005633A/en not_active Application Discontinuation
- 2019-04-17 SG SG11202010238PA patent/SG11202010238PA/en unknown
- 2019-04-17 EP EP19788678.1A patent/EP3781033A4/en active Pending
- 2019-04-17 CN CN201980026863.7A patent/CN111989039A/en active Pending
- 2019-04-17 WO PCT/US2019/027826 patent/WO2019204406A1/en active Application Filing
- 2019-04-17 BR BR112020021311-0A patent/BR112020021311A2/en unknown
-
2020
- 2020-10-13 US US17/069,036 patent/US11182878B2/en active Active
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2021
- 2021-10-19 US US17/504,725 patent/US11715179B2/en active Active
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2023
- 2023-05-26 US US18/324,443 patent/US20240037714A1/en active Pending
- 2023-09-14 JP JP2023148866A patent/JP2023169278A/en active Pending
Also Published As
Publication number | Publication date |
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BR112020021311A2 (en) | 2021-01-19 |
US20190347772A1 (en) | 2019-11-14 |
EP3781033A1 (en) | 2021-02-24 |
JP2023169278A (en) | 2023-11-29 |
US20220130017A1 (en) | 2022-04-28 |
US11182878B2 (en) | 2021-11-23 |
JP2021520882A (en) | 2021-08-26 |
EP3781033A4 (en) | 2022-01-19 |
JP7351847B2 (en) | 2023-09-27 |
CN111989039A (en) | 2020-11-24 |
KR20210005633A (en) | 2021-01-14 |
US20210042883A1 (en) | 2021-02-11 |
US11715179B2 (en) | 2023-08-01 |
AU2019256304A1 (en) | 2020-11-26 |
WO2019204406A1 (en) | 2019-10-24 |
US20240037714A1 (en) | 2024-02-01 |
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