JP7359850B2 - 超音波信号の適応ビームフォーミングの方法及びシステム - Google Patents

超音波信号の適応ビームフォーミングの方法及びシステム Download PDF

Info

Publication number
JP7359850B2
JP7359850B2 JP2021521781A JP2021521781A JP7359850B2 JP 7359850 B2 JP7359850 B2 JP 7359850B2 JP 2021521781 A JP2021521781 A JP 2021521781A JP 2021521781 A JP2021521781 A JP 2021521781A JP 7359850 B2 JP7359850 B2 JP 7359850B2
Authority
JP
Japan
Prior art keywords
neural network
signal
artificial neural
ultrasound
output
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
JP2021521781A
Other languages
English (en)
Japanese (ja)
Other versions
JP2022505511A (ja
JP2022505511A5 (https=
JPWO2020083918A5 (https=
Inventor
ウォウター マリヌス ベンジャミン ライテン
スローン ルード ヨハネス ジェラルドゥス ファン
ブルイン フレデリック ヤン デ
ハロルド アグネス ウィルヘルムス シュメッツ
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
Priority claimed from EP19164249.5A external-priority patent/EP3712651A1/en
Application filed by Koninklijke Philips NV filed Critical Koninklijke Philips NV
Publication of JP2022505511A publication Critical patent/JP2022505511A/ja
Publication of JP2022505511A5 publication Critical patent/JP2022505511A5/ja
Publication of JPWO2020083918A5 publication Critical patent/JPWO2020083918A5/ja
Application granted granted Critical
Publication of JP7359850B2 publication Critical patent/JP7359850B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/52017Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
    • G01S7/52085Details related to the ultrasound signal acquisition, e.g. scan sequences
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08Clinical applications
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88Sonar systems specially adapted for specific applications
    • G01S15/89Sonar systems specially adapted for specific applications for mapping or imaging
    • G01S15/8906Short-range imaging systems; Acoustic microscope systems using pulse-echo techniques
    • G01S15/8909Short-range imaging systems; Acoustic microscope systems using pulse-echo techniques using a static transducer configuration
    • G01S15/8915Short-range imaging systems; Acoustic microscope systems using pulse-echo techniques using a static transducer configuration using a transducer array
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/52017Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
    • G01S7/52046Techniques for image enhancement involving transmitter or receiver
    • G01S7/52047Techniques for image enhancement involving transmitter or receiver for elimination of side lobes or of grating lobes; for increasing resolving power
    • 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
    • G06N3/044Recurrent networks, e.g. Hopfield 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
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • G06N3/0442Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • 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
    • G06N3/048Activation functions
    • 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
    • G06N3/0495Quantised networks; Sparse networks; Compressed 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
    • G06N3/082Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • 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
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/18Methods or devices for transmitting, conducting or directing sound
    • G10K11/26Sound-focusing or directing, e.g. scanning
    • G10K11/34Sound-focusing or directing, e.g. scanning using electrical steering of transducer arrays, e.g. beam steering

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Acoustics & Sound (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Multimedia (AREA)
  • Radiology & Medical Imaging (AREA)
  • Pathology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)
  • Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
JP2021521781A 2018-10-25 2019-10-22 超音波信号の適応ビームフォーミングの方法及びシステム Active JP7359850B2 (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
EP18202469.5 2018-10-25
EP18202469 2018-10-25
EP19164249.5A EP3712651A1 (en) 2019-03-21 2019-03-21 Method and system for adaptive beamforming of ultrasound signals
EP19164249.5 2019-03-21
PCT/EP2019/078739 WO2020083918A1 (en) 2018-10-25 2019-10-22 Method and system for adaptive beamforming of ultrasound signals

Publications (4)

Publication Number Publication Date
JP2022505511A JP2022505511A (ja) 2022-01-14
JP2022505511A5 JP2022505511A5 (https=) 2022-08-24
JPWO2020083918A5 JPWO2020083918A5 (https=) 2022-08-24
JP7359850B2 true JP7359850B2 (ja) 2023-10-11

Family

ID=68240760

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021521781A Active JP7359850B2 (ja) 2018-10-25 2019-10-22 超音波信号の適応ビームフォーミングの方法及びシステム

Country Status (5)

Country Link
US (1) US12259503B2 (https=)
EP (1) EP3870999B1 (https=)
JP (1) JP7359850B2 (https=)
CN (1) CN112912758B (https=)
WO (1) WO2020083918A1 (https=)

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110874828B (zh) * 2020-01-20 2020-04-21 上海尽星生物科技有限责任公司 神经网络模型及基于神经网络模型的超声波束形成方法
CN111695297B (zh) * 2020-06-02 2022-08-02 哈尔滨工程大学 一种近海面气温反演方法
JP2022041386A (ja) * 2020-09-01 2022-03-11 キヤノンメディカルシステムズ株式会社 多元数演算装置及び医用画像診断装置
DE102020213900A1 (de) * 2020-09-30 2022-03-31 Siemens Healthcare Gmbh Verfahren zu einem Bereitstellen einer Positionsinformation einer lokalen Hochfrequenzspule
JP2025500064A (ja) * 2021-12-29 2025-01-07 エコー イメージング,インク. 低コストで高性能な超音波撮像プローブ
CN114492615A (zh) * 2022-01-21 2022-05-13 北京信息科技大学 基于深度学习的快速目标识别的相控阵单元控制方法
US20250107779A1 (en) * 2022-01-30 2025-04-03 Cloudstream Medical Imaging, Inc. Time-shared transmission and continuous recording of ultrasound data for enhanced frame rates
JP2023114623A (ja) 2022-02-07 2023-08-18 キヤノンメディカルシステムズ株式会社 超音波診断装置
EP4258016A1 (en) 2022-04-07 2023-10-11 Koninklijke Philips N.V. A computer-implemented method for beamforming of ultrasound channel data
WO2023194523A1 (en) 2022-04-07 2023-10-12 Koninklijke Philips N.V. A computer-implemented method for beamforming of ultrasound channel data
GB202218330D0 (en) * 2022-12-06 2023-01-18 Univ Leeds Innovations Ltd Adaptive ultrasound beamforming
CN115952840A (zh) * 2023-03-09 2023-04-11 深圳时识科技有限公司 波束形成方法、波达方向识别方法及其装置和芯片
CN116192214A (zh) * 2023-03-10 2023-05-30 西安电子科技大学 基于irs辅助的mimo系统混合预编码方法
EP4538828A1 (en) * 2023-10-13 2025-04-16 Safran Electronics & Defense Spain Sociedad Limitada Method for disciplining a clock
US20250266876A1 (en) * 2024-02-19 2025-08-21 F Jeffrey Scott Arndt Beamforming techniques from non-uniform arrays
CN119207453B (zh) * 2024-11-26 2025-03-14 浙江芯劢微电子股份有限公司 一种非线性回声消除方法、装置和电子设备

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170363725A1 (en) 2014-12-19 2017-12-21 University Of Rochester Ultrasound system for high-speed and high resolution imaging applications
WO2018167101A1 (en) 2017-03-13 2018-09-20 Koninklijke Philips N.V. Methods and systems for filtering ultrasound image clutter

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0575716A1 (en) 1993-04-08 1993-12-29 Andrzej Cichocki A neural network and signal processing units
GB0209780D0 (en) * 2002-04-29 2002-06-05 Neural Technologies Ltd Method of encoding data for decoding data from and constraining a neural network
CN101336830B (zh) * 2007-07-03 2012-07-04 深圳迈瑞生物医疗电子股份有限公司 用于超声诊断成像的正交多普勒信号间隙填充方法与装置
DE602008002695D1 (de) * 2008-01-17 2010-11-04 Harman Becker Automotive Sys Postfilter für einen Strahlformer in der Sprachverarbeitung
US9883812B2 (en) * 2010-06-28 2018-02-06 The Regents Of The University Of California Enhanced multi-core beamformer algorithm for sensor array signal processing by combining data from magnetoencephalography
EP2670299A4 (en) * 2011-02-03 2017-08-09 The Medical Research, Infrastructure, And Health Services Fund Of The Tel Aviv Medical Center Method and system for use in monitoring neural activity in a subject's brain
US9320491B2 (en) * 2011-04-18 2016-04-26 The Trustees Of Columbia University In The City Of New York Ultrasound devices methods and systems
US9092729B2 (en) * 2011-08-11 2015-07-28 Greenray Industries, Inc. Trim effect compensation using an artificial neural network
EP2846697A1 (en) * 2012-05-11 2015-03-18 Koninklijke Philips N.V. An ultrasonic imaging apparatus and a method for imaging a specular object and a target anatomy in a tissue using ultrasounc
US10217045B2 (en) * 2012-07-16 2019-02-26 Cornell University Computation devices and artificial neurons based on nanoelectromechanical systems
CA2946137C (en) * 2014-04-18 2022-08-09 Butterfly Network, Inc. Ultrasonic imaging compression methods and apparatus
CN106796286B (zh) * 2014-08-13 2021-01-05 B-K医疗公司 超声信号模拟波束形成器/波束形成
CN110322550B (zh) * 2015-02-16 2023-06-20 深圳迈瑞生物医疗电子股份有限公司 三维成像数据的显示处理方法和三维超声成像方法及系统
JP6480644B1 (ja) * 2016-03-23 2019-03-13 グーグル エルエルシー マルチチャネル音声認識のための適応的オーディオ強化
US11222263B2 (en) * 2016-07-28 2022-01-11 Samsung Electronics Co., Ltd. Neural network method and apparatus
US11364013B2 (en) 2017-01-05 2022-06-21 Koninklijke Philips N.V. Ultrasound imaging system with a neural network for image formation and tissue characterization
US10528147B2 (en) * 2017-03-06 2020-01-07 Microsoft Technology Licensing, Llc Ultrasonic based gesture recognition
CN116321202A (zh) * 2017-03-08 2023-06-23 索尼公司 无线通信系统中的电子设备和方法
EP3581961A1 (en) * 2018-06-13 2019-12-18 Technische Universität München Method and apparatus for ultrasound imaging with improved beamforming

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170363725A1 (en) 2014-12-19 2017-12-21 University Of Rochester Ultrasound system for high-speed and high resolution imaging applications
WO2018167101A1 (en) 2017-03-13 2018-09-20 Koninklijke Philips N.V. Methods and systems for filtering ultrasound image clutter

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
LUCHIES, Adam C., et al.,Deep Neural Networks for Ultrasound Beamforming,IEEE TRANSACTIONS ON MEDICAL IMAGING,米国,IEEE,2018年09月,VOL.37, NO.9,pp.2010-2021

Also Published As

Publication number Publication date
CN112912758A (zh) 2021-06-04
US12259503B2 (en) 2025-03-25
JP2022505511A (ja) 2022-01-14
EP3870999B1 (en) 2025-12-10
CN112912758B (zh) 2024-11-01
WO2020083918A1 (en) 2020-04-30
US20210382157A1 (en) 2021-12-09
EP3870999A1 (en) 2021-09-01

Similar Documents

Publication Publication Date Title
JP7359850B2 (ja) 超音波信号の適応ビームフォーミングの方法及びシステム
Luijten et al. Adaptive ultrasound beamforming using deep learning
US11886978B2 (en) Neural network medical image system
JP7345208B2 (ja) 学習非線形マッピングに基づく画像再構成方法
EP3712651A1 (en) Method and system for adaptive beamforming of ultrasound signals
JP7752532B2 (ja) 合成エラストログラフィ画像を生成するための方法及びシステム
Goudarzi et al. Ultrasound beamforming using mobilenetv2
US12223568B2 (en) Systems and methods for generating and estimating unknown and unacquired ultrasound data
CN115100069B (zh) 超声图像重建方法、系统、设备及介质
Luchies et al. Training improvements for ultrasound beamforming with deep neural networks
Goudarzi et al. A unifying approach to inverse problems of ultrasound beamforming and deconvolution
US11158052B2 (en) Systems and methods for ultrasonic imaging
CN110554393A (zh) 基于深度学习的高对比度最小方差成像方法
Deylami et al. Iterative minimum variance beamformer with low complexity for medical ultrasound imaging
van Sloun et al. 1 Deep learning for ultrasound beamforming
Nair et al. One-step deep learning approach to ultrasound image formation and image segmentation with a fully convolutional neural network
Kvalevåg et al. vbeam: A fast and differentiable beamformer for optimizing ultrasound imaging
JP2025538734A (ja) 適応型超音波ビームフォーミング
Gundersen et al. Hardware-independent deep signal processing: A feasibility study in echocardiography
Goudarzi et al. Pruning mobilenetv2 for efficient implementation of minimum variance beamforming
Vienneau et al. An improved training scheme for deep neural network ultrasound beamforming
EP4258016A1 (en) A computer-implemented method for beamforming of ultrasound channel data
US20250341622A1 (en) A computer-implemented method for beamforming of ultrasound channel data
Nguyen et al. A task-based analytical framework for ultrasonic beamformer comparison
Mahurkar et al. Iteratively-reweighted beamforming for high-resolution ultrasound imaging

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20220816

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20220816

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20230124

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230306

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20230608

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230831

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: 20230912

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20230928

R150 Certificate of patent or registration of utility model

Ref document number: 7359850

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150