DE112021005801T5 - Echtzeit-design von hochfrequenzimpulsen und gradientenimpulsen in der magnetresonanztomografie - Google Patents

Echtzeit-design von hochfrequenzimpulsen und gradientenimpulsen in der magnetresonanztomografie Download PDF

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DE112021005801T5
DE112021005801T5 DE112021005801.0T DE112021005801T DE112021005801T5 DE 112021005801 T5 DE112021005801 T5 DE 112021005801T5 DE 112021005801 T DE112021005801 T DE 112021005801T DE 112021005801 T5 DE112021005801 T5 DE 112021005801T5
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neural network
convolutional neural
view
spatially selective
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DE112021005801.0T
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German (de)
English (en)
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Yajing ZHANG
Jiazheng WANG
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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
    • G01R33/483—NMR imaging systems with selection of signals or spectra from particular regions of the volume, e.g. in vivo spectroscopy
    • G01R33/4833—NMR imaging systems with selection of signals or spectra from particular regions of the volume, e.g. in vivo spectroscopy using spatially selective excitation of the volume of interest, e.g. selecting non-orthogonal or inclined slices
    • G01R33/4836—NMR imaging systems with selection of signals or spectra from particular regions of the volume, e.g. in vivo spectroscopy using spatially selective excitation of the volume of interest, e.g. selecting non-orthogonal or inclined slices using an RF pulse being spatially selective in more than one spatial dimension, e.g. a 2D pencil-beam excitation pulse
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • 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
    • 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

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Biophysics (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Signal Processing (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Optics & Photonics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
DE112021005801.0T 2020-11-04 2021-11-04 Echtzeit-design von hochfrequenzimpulsen und gradientenimpulsen in der magnetresonanztomografie Pending DE112021005801T5 (de)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
CNPCT/CN2020/126499 2020-11-04
CN2020126499 2020-11-04
EP20214200.6 2020-12-15
EP20214200.6A EP3995848A1 (en) 2020-11-04 2020-12-15 Realtime design of radio-frequency pulses and gradient pulses in magnetic resonanc imaging
PCT/EP2021/080567 WO2022096539A1 (en) 2020-11-04 2021-11-04 Realtime design of radio-frequency pulses and gradient pulses in magnetic resonanc imaging

Publications (1)

Publication Number Publication Date
DE112021005801T5 true DE112021005801T5 (de) 2023-10-05

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DE112021005801.0T Pending DE112021005801T5 (de) 2020-11-04 2021-11-04 Echtzeit-design von hochfrequenzimpulsen und gradientenimpulsen in der magnetresonanztomografie

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US (1) US12360190B2 (https=)
EP (1) EP3995848A1 (https=)
JP (1) JP2023548854A (https=)
CN (1) CN116406463A (https=)
DE (1) DE112021005801T5 (https=)
WO (1) WO2022096539A1 (https=)

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Publication number Priority date Publication date Assignee Title
US12387096B2 (en) * 2021-10-06 2025-08-12 Google Llc Image-to-image mapping by iterative de-noising
CN115759179B (zh) * 2022-11-18 2026-03-03 中国科学院自动化研究所 一种应用于多任务学习的策略模型训练方法、装置及设备
WO2026006649A1 (en) * 2024-06-27 2026-01-02 The General Hospital Corporation System and method of creating and using automated system for physics control

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JP4416221B2 (ja) * 1999-09-28 2010-02-17 株式会社日立メディコ 磁気共鳴画像診断装置
JP2008054738A (ja) * 2006-08-29 2008-03-13 Hitachi Medical Corp 磁気共鳴イメージング装置
JP6691786B2 (ja) * 2015-02-23 2020-05-13 キヤノンメディカルシステムズ株式会社 磁気共鳴イメージング装置
JP6495057B2 (ja) * 2015-03-16 2019-04-03 キヤノンメディカルシステムズ株式会社 Ｍｒｉ装置及び撮像時間短縮方法
US10588523B2 (en) * 2016-04-15 2020-03-17 Siemens Healthcare Gmbh 4D flow measurements of the hepatic vasculatures with two-dimensional excitation
CN106372571A (zh) * 2016-08-18 2017-02-01 宁波傲视智绘光电科技有限公司 路面交通标志检测与识别方法
US10302714B2 (en) * 2017-09-15 2019-05-28 Siemens Healthcare Gmbh Magnetic resonance radio frequency pulse design using machine learning
EP3581955A1 (en) * 2018-06-12 2019-12-18 Koninklijke Philips N.V. Determination of higher order terms of the three-dimensional impulse response function of the magnetic field gradient system of a magnetic resonance imaging system
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
US11221384B2 (en) * 2019-04-29 2022-01-11 Regents Of The University Of Minnesota System and method for producing radiofrequency pulses in magnetic resonance using an optimal phase surface

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JP2023548854A (ja) 2023-11-21
US20230408612A1 (en) 2023-12-21
WO2022096539A1 (en) 2022-05-12
EP3995848A1 (en) 2022-05-11
US12360190B2 (en) 2025-07-15
CN116406463A (zh) 2023-07-07

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