CN113853526B - 用于磁共振成像的自动视场对准 - Google Patents

用于磁共振成像的自动视场对准

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Publication number
CN113853526B
CN113853526B CN202080036637.XA CN202080036637A CN113853526B CN 113853526 B CN113853526 B CN 113853526B CN 202080036637 A CN202080036637 A CN 202080036637A CN 113853526 B CN113853526 B CN 113853526B
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China
Prior art keywords
magnetic resonance
training
data
alignment data
algorithm
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CN202080036637.XA
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Chinese (zh)
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CN113853526A (zh
Inventor
I·费杜洛瓦
F·穆舍诺克
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Koninklijke Philips NV
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Koninklijke Philips NV
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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
    • G01R33/543—Control 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
    • 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, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room
    • A61B5/0037—Performing a preliminary scan, e.g. a prescan for identifying a region of interest
    • 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
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/742—Details of notification to user or communication with user or patient; User input means using visual displays
    • A61B5/7425—Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image
    • 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
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24137—Distances to cluster centroïds
    • G06F18/2414—Smoothing the distance, e.g. radial basis function networks [RBFN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/10—Recognition assisted with metadata

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Radiology & Medical Imaging (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biomedical Technology (AREA)
  • Surgery (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Molecular Biology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Data Mining & Analysis (AREA)
  • Signal Processing (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Multimedia (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Analysis (AREA)
CN202080036637.XA 2019-05-17 2020-05-16 用于磁共振成像的自动视场对准 Active CN113853526B (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
EP19175092 2019-05-17
EP19175092.6 2019-05-17
RU2019120557 2019-07-02
RU2019120557 2019-07-02
PCT/EP2020/063744 WO2020234204A1 (en) 2019-05-17 2020-05-16 Automated field of view alignment for magnetic resonance imaging

Publications (2)

Publication Number Publication Date
CN113853526A CN113853526A (zh) 2021-12-28
CN113853526B true CN113853526B (zh) 2025-09-16

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Country Status (5)

Country Link
US (1) US12078703B2 (https=)
EP (1) EP3969923A1 (https=)
JP (1) JP7391112B2 (https=)
CN (1) CN113853526B (https=)
WO (1) WO2020234204A1 (https=)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4302112A1 (en) 2021-03-04 2024-01-10 Hyperfine Operations, Inc. Systems and methods for performing magnetic resonance imaging with reduced operator interaction
EP4450994A1 (en) * 2023-04-20 2024-10-23 Koninklijke Philips N.V. Automated configuration of magnetic resonance imaging systems
CN117671284B (zh) * 2023-12-06 2024-04-30 广州科松医疗智能科技有限公司 侵入性胎盘植入影像特征ai智能提取系统

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106096632A (zh) * 2016-06-02 2016-11-09 哈尔滨工业大学 基于深度学习和mri图像的心室功能指标预测方法
WO2018011617A1 (en) * 2016-07-11 2018-01-18 Synaptive Medical (Barbados) Inc. Adaptive shim coils for mr imaging

Family Cites Families (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008015611A2 (en) * 2006-07-31 2008-02-07 Philips Intellectual Property & Standards Gmbh Rotational x-ray scan planning system
DE102008064106A1 (de) 2008-12-19 2010-07-08 Siemens Aktiengesellschaft Verfahren zur Bildaufnahme mit einer Magnetresonanzeinrichtung und Magnetresonanzeinrichtung
KR101820301B1 (ko) * 2011-09-07 2018-01-19 삼성전자주식회사 자기 공명 영상 장치 및 그 제어 방법
CN105027163B (zh) 2013-03-06 2018-09-07 皇家飞利浦有限公司 扫描区域确定装置
US9471987B2 (en) * 2013-08-09 2016-10-18 Siemens Healthcare Gmbh Automatic planning for medical imaging
CN105825509A (zh) * 2016-03-17 2016-08-03 电子科技大学 基于3d卷积神经网络的脑血管分割方法
US11800978B2 (en) 2016-08-05 2023-10-31 Siemens Healthcare Gmbh Deep learning based isocenter positioning and fully automated cardiac MR exam planning
US10452813B2 (en) 2016-11-17 2019-10-22 Terarecon, Inc. Medical image identification and interpretation
US11868852B1 (en) * 2017-05-04 2024-01-09 Amazon Technologies, Inc. Introspection of machine learning estimations
EP4579590A1 (en) * 2017-12-13 2025-07-02 Washington University System and method for determining segments for ablation
US11191281B1 (en) * 2018-01-05 2021-12-07 Tyson Foods, Inc. Method and apparatus for conveying a meat product and using an ultrasonic knife for automated cutting of meat
EP3557274A1 (en) * 2018-04-19 2019-10-23 Koninklijke Philips N.V. Automatic artifact detection and pulse sequence modification in magnetic resonance imaging
US10872413B2 (en) * 2018-04-20 2020-12-22 iCometrue Company Ltd. Method for data management and machine learning with fine resolution
US10852379B2 (en) * 2018-06-07 2020-12-01 Siemens Healthcare Gmbh Artifact reduction by image-to-image network in magnetic resonance imaging
US12263017B2 (en) * 2018-08-01 2025-04-01 General Electric Company Plane selection using localizer images
CA3124572A1 (en) * 2018-12-24 2020-07-02 Body Composition Technologies Pty Ltd Analysing a body
JP2022526718A (ja) * 2019-03-14 2022-05-26 ハイパーファイン，インコーポレイテッド 空間周波数データから磁気共鳴画像を生成するための深層学習技術
US11087172B2 (en) * 2019-12-31 2021-08-10 Plus One Robotics, Inc. Systems and methods for creating training data
US11651518B2 (en) * 2021-06-03 2023-05-16 Meta Platforms Technologies, Llc System for determining an expected field of view
US11868672B1 (en) * 2023-03-30 2024-01-09 Brelyon, Inc. Methods and systems for interactive displays with intelligent generative content and tandem computing

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106096632A (zh) * 2016-06-02 2016-11-09 哈尔滨工业大学 基于深度学习和mri图像的心室功能指标预测方法
WO2018011617A1 (en) * 2016-07-11 2018-01-18 Synaptive Medical (Barbados) Inc. Adaptive shim coils for mr imaging

Also Published As

Publication number Publication date
JP7391112B2 (ja) 2023-12-04
US12078703B2 (en) 2024-09-03
EP3969923A1 (en) 2022-03-23
CN113853526A (zh) 2021-12-28
JP2022533165A (ja) 2022-07-21
US20220225888A1 (en) 2022-07-21
WO2020234204A1 (en) 2020-11-26

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