JP7391112B2 - 磁気共鳴イメージングのための自動的な視野整列 - Google Patents

磁気共鳴イメージングのための自動的な視野整列 Download PDF

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JP7391112B2
JP7391112B2 JP2021568555A JP2021568555A JP7391112B2 JP 7391112 B2 JP7391112 B2 JP 7391112B2 JP 2021568555 A JP2021568555 A JP 2021568555A JP 2021568555 A JP2021568555 A JP 2021568555A JP 7391112 B2 JP7391112 B2 JP 7391112B2
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training
magnetic resonance
alignment data
data
algorithm
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JP2022533165A (ja
JP2022533165A5 (https=
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イリナ フェドゥロワ
フョードル ムッシェノク
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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
    • A61B5/05—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
    • 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
    • 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
    • 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
    • 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

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  • 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)
JP2021568555A 2019-05-17 2020-05-16 磁気共鳴イメージングのための自動的な視野整列 Active JP7391112B2 (ja)

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 (3)

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JP2022533165A JP2022533165A (ja) 2022-07-21
JP2022533165A5 JP2022533165A5 (https=) 2023-05-23
JP7391112B2 true JP7391112B2 (ja) 2023-12-04

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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
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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

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US20150043774A1 (en) 2013-08-09 2015-02-12 Siemens Aktiengesellschaft Automatic Planning For Medical Imaging
JP2016513486A (ja) 2013-03-06 2016-05-16 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． スキャン範囲決定装置
US20180035892A1 (en) 2016-08-05 2018-02-08 Siemens Healthcare Gmbh Deep learning based isocenter positioning and fully automated cardiac mr exam planning
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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
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
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
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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
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US20100158338A1 (en) 2008-12-19 2010-06-24 Martin Harder Method and apparatus for acquisition of a magnetic resonance image
JP2016513486A (ja) 2013-03-06 2016-05-16 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． スキャン範囲決定装置
US20150043774A1 (en) 2013-08-09 2015-02-12 Siemens Aktiengesellschaft Automatic Planning For Medical Imaging
US20180035892A1 (en) 2016-08-05 2018-02-08 Siemens Healthcare Gmbh Deep learning based isocenter positioning and fully automated cardiac mr exam planning
WO2018093865A1 (en) 2016-11-17 2018-05-24 Terarecon, Inc. Medical image identification and interpretation

Also Published As

Publication number Publication date
US12078703B2 (en) 2024-09-03
EP3969923A1 (en) 2022-03-23
CN113853526A (zh) 2021-12-28
CN113853526B (zh) 2025-09-16
JP2022533165A (ja) 2022-07-21
US20220225888A1 (en) 2022-07-21
WO2020234204A1 (en) 2020-11-26

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