JP7757314B2 - 複数の磁気共鳴イメージングシステム構成を使用した磁気共鳴画像の補正 - Google Patents

複数の磁気共鳴イメージングシステム構成を使用した磁気共鳴画像の補正

Info

Publication number
JP7757314B2
JP7757314B2 JP2022568522A JP2022568522A JP7757314B2 JP 7757314 B2 JP7757314 B2 JP 7757314B2 JP 2022568522 A JP2022568522 A JP 2022568522A JP 2022568522 A JP2022568522 A JP 2022568522A JP 7757314 B2 JP7757314 B2 JP 7757314B2
Authority
JP
Japan
Prior art keywords
magnetic resonance
image data
space data
resonance image
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2022568522A
Other languages
English (en)
Japanese (ja)
Other versions
JP2023526008A (ja
JP2023526008A5 (https=
Inventor
クリストフ マイケル ジャン シュールケ
カルステン ソマー
ジョージ ランダル ダンシング
ペーター ボルネート
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips NV
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninklijke Philips NV filed Critical Koninklijke Philips NV
Publication of JP2023526008A publication Critical patent/JP2023526008A/ja
Publication of JP2023526008A5 publication Critical patent/JP2023526008A5/ja
Application granted granted Critical
Publication of JP7757314B2 publication Critical patent/JP7757314B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T12/00Tomographic reconstruction from projections
    • G06T12/10Image preprocessing, e.g. calibration, positioning of sources or scatter correction
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/055Detecting, 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/4818MR 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/543Control of the operation of the MR system, e.g. setting of acquisition parameters prior to or during MR data acquisition, dynamic shimming, use of one or more scout images for scan plane prescription
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/5608Data 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/561Image 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/565Correction of image distortions, e.g. due to magnetic field inhomogeneities
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/565Correction of image distortions, e.g. due to magnetic field inhomogeneities
    • G01R33/56509Correction of image distortions, e.g. due to magnetic field inhomogeneities due to motion, displacement or flow, e.g. gradient moment nulling
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0475Generative networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T12/00Tomographic reconstruction from projections
    • G06T12/20Inverse problem, i.e. transformations from projection space into object space
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room
    • A61B5/004Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
    • A61B5/0042Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part for the brain
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/561Image 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
    • G01R33/5611Parallel 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/565Correction of image distortions, e.g. due to magnetic field inhomogeneities
    • G01R33/56554Correction of image distortions, e.g. due to magnetic field inhomogeneities caused by acquiring plural, differently encoded echo signals after one RF excitation, e.g. correction for readout gradients of alternating polarity in EPI
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/567Image 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
    • G01R33/5676Gating or triggering based on an MR signal, e.g. involving one or more navigator echoes for motion monitoring and correction
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/01Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00Image generation
    • G06T2211/40Computed tomography
    • G06T2211/424Iterative

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • Radiology & Medical Imaging (AREA)
  • Signal Processing (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Pathology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Algebra (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
JP2022568522A 2020-05-11 2021-04-21 複数の磁気共鳴イメージングシステム構成を使用した磁気共鳴画像の補正 Active JP7757314B2 (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
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 (3)

Publication Number Publication Date
JP2023526008A JP2023526008A (ja) 2023-06-20
JP2023526008A5 JP2023526008A5 (https=) 2024-06-14
JP7757314B2 true JP7757314B2 (ja) 2025-10-21

Family

ID=70918263

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2022568522A Active JP7757314B2 (ja) 2020-05-11 2021-04-21 複数の磁気共鳴イメージングシステム構成を使用した磁気共鳴画像の補正

Country Status (5)

Country Link
US (1) US12067652B2 (https=)
EP (2) EP3916417A1 (https=)
JP (1) JP7757314B2 (https=)
CN (1) CN115552272A (https=)
WO (1) WO2021228515A1 (https=)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007124450A2 (en) 2006-04-21 2007-11-01 The Trustees Of The University Of Pennsylvania Motion artifact compensation
US9340768B2 (en) 2008-07-16 2016-05-17 The Texas A&M University System Transformation of glycerol and cellulosic materials into high energy fuels
US8848990B2 (en) 2010-09-28 2014-09-30 Siemens Aktiengesellschaft Automatic registration of image series with varying contrast based on synthetic images derived from intensity behavior model
JP5835930B2 (ja) * 2011-04-15 2015-12-24 株式会社東芝 医用画像表示装置
US9588207B2 (en) * 2011-10-06 2017-03-07 National Institutes of Health (NIH), U.S. Dept. of Health and Human Services (DHHS), The United States of America NIH Division of Extramural Inventions and Technology Resources (DEITR) System for reconstructing MRI images acquired in parallel
WO2015197366A1 (en) 2014-06-23 2015-12-30 Koninklijke Philips N.V. Motion correction in magnetic resonance imaging
US9983283B2 (en) 2015-03-16 2018-05-29 Toshiba Medical Systems Corporation Accelerated MRI using radial strips and undersampling of k-space
US10671939B2 (en) 2016-04-22 2020-06-02 New York University System, method and computer-accessible medium for learning an optimized variational network for medical image reconstruction
US10096109B1 (en) 2017-03-31 2018-10-09 The Board Of Trustees Of The Leland Stanford Junior University Quality of medical images using multi-contrast and deep learning
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
EP3477583A1 (en) 2017-10-31 2019-05-01 Koninklijke Philips N.V. Deep-learning based processing of motion artifacts in magnetic resonance imaging data
US10573031B2 (en) 2017-12-06 2020-02-25 Siemens Healthcare Gmbh Magnetic resonance image reconstruction with deep reinforcement learning
KR102708986B1 (ko) 2018-04-19 2024-09-24 서틀 메디컬, 인크. 딥 러닝을 사용하여 자기 공명 이미징을 향상시키기 위한 시스템들 및 방법들
US12039699B2 (en) * 2018-05-25 2024-07-16 Vidur MAHAJAN Method and system for simulating and constructing original medical images from one modality to other modality
US10852379B2 (en) 2018-06-07 2020-12-01 Siemens Healthcare Gmbh Artifact reduction by image-to-image network in magnetic resonance imaging
US11756160B2 (en) * 2018-07-27 2023-09-12 Washington University ML-based methods for pseudo-CT and HR MR image estimation
CN109325985B (zh) * 2018-09-18 2020-07-21 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
CN110095742B (zh) * 2019-05-13 2022-02-08 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
CN110333466B (zh) * 2019-06-19 2022-06-07 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
CN110244246B (zh) * 2019-07-03 2021-07-16 上海联影医疗科技股份有限公司 磁共振成像方法、装置、计算机设备和存储介质
CN110807492B (zh) * 2019-11-06 2022-05-13 厦门大学 一种磁共振多参数同时定量成像方法及系统
CN110942496B (zh) * 2019-12-13 2022-02-11 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

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Blake E. Dewey, et al.,DeepHarmony: A deep learning approach to contrast harmonization across scanner changes,Magn Reson Imaging,2019年,64,160-170

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
CN115552272A (zh) 2022-12-30

Similar Documents

Publication Publication Date Title
JP7757314B2 (ja) 複数の磁気共鳴イメージングシステム構成を使用した磁気共鳴画像の補正
US12125175B2 (en) Methods and system for selective removal of streak artifacts and noise from images using deep neural networks
JP7731874B2 (ja) Mriを使用する動き補正トレーサ運動マッピング
CN108885246B (zh) 用于生成高b值处的合成扩散图像的扩散MRI方法
WO2023202909A1 (en) Segmentation of medical images reconstructed from a set of magnetic resonance images
US11519991B2 (en) Motion estimation and correction in magnetic resonance imaging
CN118215851A (zh) 用于加速非笛卡尔磁共振成像重建的双域自监督学习
CN106104292B (zh) Propeller磁共振成像
CN118103721A (zh) 使用低分辨磁共振图像的运动校正
CN113892149B (zh) 用于运动伪影检测的方法
CN113661404B (zh) 使用模拟磁共振图像对磁共振图像的校正
JP2025528106A (ja) 磁気共鳴撮像のための2段階ノイズ除去
EP4707843A1 (en) Improving image quality in motion corrected magnetic resonance imaging
EP4524595A2 (en) Model-based reconstruction for grasp mri data
EP4468011A1 (en) Motion corrected magnetic resonance imaging
WO2024240492A1 (en) Motion corrected magnetic resonance imaging
US20230084413A1 (en) Deep learning-based realtime reconstruction
WO2025186081A1 (en) Motion correction using navigators between sequential groups of k-space data
WO2024188637A1 (en) Training of neural networks to generate synthetic three-dimensional magnetic resonance images

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20240418

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20240418

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20240606

A871 Explanation of circumstances concerning accelerated examination

Free format text: JAPANESE INTERMEDIATE CODE: A871

Effective date: 20240606

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20240820

A601 Written request for extension of time

Free format text: JAPANESE INTERMEDIATE CODE: A601

Effective date: 20241118

A02 Decision of refusal

Free format text: JAPANESE INTERMEDIATE CODE: A02

Effective date: 20250423

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20250807

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20250909

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20251008

R150 Certificate of patent or registration of utility model

Ref document number: 7757314

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150