JP7407790B2 - 誘導肝イメージングのための人工ニューラルネットワークを有する超音波システム - Google Patents
誘導肝イメージングのための人工ニューラルネットワークを有する超音波システム Download PDFInfo
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- JP7407790B2 JP7407790B2 JP2021503763A JP2021503763A JP7407790B2 JP 7407790 B2 JP7407790 B2 JP 7407790B2 JP 2021503763 A JP2021503763 A JP 2021503763A JP 2021503763 A JP2021503763 A JP 2021503763A JP 7407790 B2 JP7407790 B2 JP 7407790B2
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Clinical applications
- A61B8/0833—Clinical applications involving detecting or locating foreign bodies or organic structures
- A61B8/085—Clinical applications involving detecting or locating foreign bodies or organic structures for locating body or organic structures, e.g. tumours, calculi, blood vessels, nodules
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- A61B8/46—Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient
- A61B8/461—Displaying means of special interest
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- A—HUMAN NECESSITIES
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- A61B8/467—Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient characterised by special input means
- A61B8/469—Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient characterised by special input means for selection of a region of interest
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- A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
- A61B8/5223—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for extracting a diagnostic or physiological parameter from medical diagnostic data
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- G06T2207/30056—Liver; Hepatic
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Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2018097194 | 2018-07-26 | ||
| CNPCT/CN2018/097194 | 2018-07-26 | ||
| US201862711974P | 2018-07-30 | 2018-07-30 | |
| US62/711,974 | 2018-07-30 | ||
| PCT/EP2019/069637 WO2020020809A1 (en) | 2018-07-26 | 2019-07-22 | Ultrasound system with an artificial neural network for guided liver imaging |
Publications (4)
| Publication Number | Publication Date |
|---|---|
| JP2021531885A JP2021531885A (ja) | 2021-11-25 |
| JP2021531885A5 JP2021531885A5 (https=) | 2022-07-28 |
| JPWO2020020809A5 JPWO2020020809A5 (https=) | 2022-07-28 |
| JP7407790B2 true JP7407790B2 (ja) | 2024-01-04 |
Family
ID=67544165
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021503763A Active JP7407790B2 (ja) | 2018-07-26 | 2019-07-22 | 誘導肝イメージングのための人工ニューラルネットワークを有する超音波システム |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US12329570B2 (https=) |
| EP (1) | EP3826544B1 (https=) |
| JP (1) | JP7407790B2 (https=) |
| CN (1) | CN112469340A (https=) |
| WO (1) | WO2020020809A1 (https=) |
Families Citing this family (55)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102591371B1 (ko) * | 2017-12-28 | 2023-10-19 | 삼성메디슨 주식회사 | 초음파 영상 장치 및 그 제어 방법 |
| EP3536245A1 (en) * | 2018-03-08 | 2019-09-11 | Koninklijke Philips N.V. | A system and method of identifying characteristics of ultrasound images |
| US12292494B2 (en) * | 2018-07-31 | 2025-05-06 | Washington University | Methods and systems for segmenting organs in images using a CNN-based correction network |
| KR102258776B1 (ko) * | 2019-05-20 | 2021-05-31 | 주식회사 힐세리온 | 인공지능형 초음파 지방간 자동 진단 장치 및 이를 이용한 원격 의료 진단 방법 |
| KR102838574B1 (ko) * | 2019-10-17 | 2025-07-28 | 삼성전자 주식회사 | 전자 장치 및 전자 장치의 화면 캡쳐 운용 방법 |
| CN111513762B (zh) * | 2019-10-30 | 2024-08-23 | 深圳迈瑞生物医疗电子股份有限公司 | 超声数据处理方法、超声数据处理系统及计算机存储介质 |
| JP7730828B2 (ja) * | 2020-03-06 | 2025-08-28 | ウルトロミクス・リミテッド | ニューラルネットワークを使用した心臓パラメータの評価 |
| US11461594B2 (en) * | 2020-03-23 | 2022-10-04 | Raytheon Company | Transform disentangling auto-encoder and related methods |
| CN111415311B (zh) * | 2020-03-27 | 2023-03-14 | 北京航空航天大学杭州创新研究院 | 资源节约型图像质量增强模型 |
| EP4134909A4 (en) * | 2020-04-06 | 2024-02-21 | Niigata University | DATA GENERATION DEVICE, DATA GENERATION METHOD AND PROGRAM |
| EP3896652A1 (en) * | 2020-04-16 | 2021-10-20 | Koninklijke Philips N.V. | Failure detection for segmentation of an image |
| CN111513765B (zh) * | 2020-04-26 | 2022-08-09 | 深圳华声医疗技术股份有限公司 | 呼吸肌组织的超声测量方法、超声测量装置及存储介质 |
| US11532084B2 (en) | 2020-05-11 | 2022-12-20 | EchoNous, Inc. | Gating machine learning predictions on medical ultrasound images via risk and uncertainty quantification |
| US11523801B2 (en) | 2020-05-11 | 2022-12-13 | EchoNous, Inc. | Automatically identifying anatomical structures in medical images in a manner that is sensitive to the particular view in which each image is captured |
| CN111598868B (zh) * | 2020-05-14 | 2022-12-30 | 上海深至信息科技有限公司 | 一种肺部超声图像识别方法和系统 |
| US11782685B2 (en) * | 2020-06-17 | 2023-10-10 | Bank Of America Corporation | Software code vectorization converter |
| CN112070119B (zh) * | 2020-08-11 | 2024-06-14 | 深圳蓝湘智影科技有限公司 | 超声切面图像质量控制方法、装置和计算机设备 |
| CA3096285A1 (en) | 2020-10-16 | 2022-04-16 | Pulsemedica Corp. | Opthalmological imaging and laser delivery device, system and methods |
| US11636593B2 (en) * | 2020-11-06 | 2023-04-25 | EchoNous, Inc. | Robust segmentation through high-level image understanding |
| US12488467B2 (en) | 2020-11-09 | 2025-12-02 | Koninklijke Philips N.V. | Multiple-quality assessments from single segmentation algorithm |
| CA3100460A1 (en) | 2020-11-24 | 2022-05-24 | Pulsemedica Corp. | Spatial light modulation targeting of therapeutic lasers for treatment of ophthalmological conditions |
| IT202000030767A1 (it) * | 2020-12-14 | 2022-06-14 | Ente Ospedaliero Specializzato In Gastroenterologia Istituto Nazionale Di Ricovero E Cura A Caratter | Metodo per validare la diagnosi di steatosi epatica non alcolica, (nafld), su pazienti in cura senza ricorrere alle tecnologie di imaging, utilizzando un algoritmo di machine learning. |
| US11610306B2 (en) | 2020-12-16 | 2023-03-21 | Industrial Technology Research Institute | Medical image analysis method and device |
| CA3103872A1 (en) * | 2020-12-23 | 2022-06-23 | Pulsemedica Corp. | Automatic annotation of condition features in medical images |
| US12026886B2 (en) * | 2021-01-22 | 2024-07-02 | The General Hospital Corporation | Method and system for automatically estimating a hepatorenal index from ultrasound images |
| WO2022161915A1 (en) * | 2021-01-27 | 2022-08-04 | Koninklijke Philips N.V. | Apparatus and method for augmented interpretation of magnetic resonance and ultrasound shear wave elastography for monitoring liver fibrosis |
| US20220273261A1 (en) * | 2021-02-26 | 2022-09-01 | GE Precision Healthcare LLC | Ultrasound imaging system and method for multi-planar imaging |
| US12124538B2 (en) * | 2021-02-28 | 2024-10-22 | Clarius Mobile Health Corp. | Method and system for training and deploying an artificial intelligence model on pre-scan converted ultrasound image data |
| TWI790572B (zh) * | 2021-03-19 | 2023-01-21 | 宏碁智醫股份有限公司 | 影像相關的檢測方法及檢測裝置 |
| CN115177289A (zh) | 2021-04-06 | 2022-10-14 | 皇家飞利浦有限公司 | 提供用户指导以获取肝肾指数测量的系统和方法 |
| CN115187501A (zh) * | 2021-04-06 | 2022-10-14 | 皇家飞利浦有限公司 | 用于识别非均质性肝脏脂肪的系统、方法和装置 |
| CN113177953B (zh) * | 2021-04-27 | 2024-04-26 | 平安科技(深圳)有限公司 | 肝脏区域分割方法、装置、电子设备及存储介质 |
| US12135763B2 (en) * | 2021-06-28 | 2024-11-05 | Siemens Healthineers International Ag | Automatic localized evaluation of contours with visual feedback |
| US11977605B2 (en) * | 2021-08-16 | 2024-05-07 | Intel Corporation | Methods and apparatus to automatically evolve a code recommendation engine |
| PH12021552490A1 (en) * | 2021-09-21 | 2023-06-05 | Sensetime Int Pte Ltd | Stacked object recognition method, apparatus and device, and computer storage medium |
| WO2023063874A1 (en) * | 2021-10-14 | 2023-04-20 | Exo Imaging, Inc. | Method and system for image processing based on convolutional neural network |
| US12144686B2 (en) * | 2021-10-25 | 2024-11-19 | EchoNous, Inc. | Automatic depth selection for ultrasound imaging |
| US12070357B2 (en) * | 2021-12-09 | 2024-08-27 | GE Precision Healthcare LLC | System and method for automatic association and display of video loop subject matter for enhanced identification |
| KR102670008B1 (ko) * | 2021-12-28 | 2024-05-29 | 전주대학교 산학협력단 | 초음파 영상에서 초음파 주사 주파수별 지방간 정량화를 진단하는 장치 및 사용방법 |
| US12213840B2 (en) | 2022-03-14 | 2025-02-04 | EchoNous, Inc. | Automatically establishing measurement location controls for doppler ultrasound |
| KR102485415B1 (ko) * | 2022-06-02 | 2023-01-06 | 주식회사 딥바이오 | 패치 레벨 중증도 판단 방법, 슬라이드 레벨 중증도 판단 방법 및 이를 수행하는 컴퓨팅 시스템 |
| WO2024058849A2 (en) * | 2022-07-01 | 2024-03-21 | Massachusetts Institute Of Technology | Systems and methods for guided airway cannulation |
| TWI802486B (zh) * | 2022-08-15 | 2023-05-11 | 臺中榮民總醫院 | 以人工智慧判讀兒童腎臟超音波影像之方法 |
| EP4327750A1 (en) * | 2022-08-25 | 2024-02-28 | Koninklijke Philips N.V. | Guided ultrasound imaging for point-of-care staging of medical conditions |
| CN119789816A (zh) * | 2022-08-25 | 2025-04-08 | 皇家飞利浦有限公司 | 用于医学状况的护理点分期的引导超声成像 |
| TWI846052B (zh) * | 2022-09-12 | 2024-06-21 | 長庚醫療財團法人林口長庚紀念醫院 | 利用人工智慧分析泌尿系統結石之方法及泌尿系統結石分析系統 |
| US20260102142A1 (en) * | 2022-09-28 | 2026-04-16 | Koninklijke Philips N.V. | Method and system for performing stiffness measurements using ultrasound shear wave elastography |
| CN115631142B (zh) * | 2022-09-29 | 2026-04-03 | 厦门颐安智能科技有限公司 | 一种基于二阶段深度学习网络的阴道镜影像区域识别方法和装置以及设备 |
| CN116152266B (zh) * | 2023-03-30 | 2025-10-31 | 华中科技大学 | 一种穿刺针超声图像的分割方法、装置和系统 |
| WO2025041893A1 (ko) * | 2023-08-24 | 2025-02-27 | 가천대학교 산학협력단 | 간 초음파 이미지를 이용하여 간 병변을 분류하는 인공지능 모델, 그 모델의 구축 방법, 및 그 인공지능 모델을 이용한 간 병변의 분류 방법 |
| KR20250055152A (ko) * | 2023-10-17 | 2025-04-24 | 성균관대학교산학협력단 | 간 검사 부위 판단 장치 및 방법 |
| US20250331807A1 (en) * | 2024-04-29 | 2025-10-30 | Siemens Medical Solutions Usa, Inc. | Quantitative ultrasound medical imaging enhanced by intervening tissue determination |
| JP2026004722A (ja) * | 2024-06-26 | 2026-01-15 | 富士フイルム株式会社 | 情報処理装置及び情報処理装置の作動方法 |
| WO2026073462A1 (en) * | 2024-10-04 | 2026-04-09 | GE Precision Healthcare LLC | Systems for generating natural text explanations regarding predictions of clinical measurements |
| CN119548176A (zh) * | 2024-11-12 | 2025-03-04 | 深圳迈瑞生物医疗电子股份有限公司 | 超声成像方法和超声成像系统 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160155227A1 (en) | 2014-11-28 | 2016-06-02 | Samsung Electronics Co., Ltd. | Computer-aided diagnostic apparatus and method based on diagnostic intention of user |
| US20170360403A1 (en) | 2016-06-20 | 2017-12-21 | Alex Rothberg | Automated image acquisition for assisting a user to operate an ultrasound device |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6530885B1 (en) | 2000-03-17 | 2003-03-11 | Atl Ultrasound, Inc. | Spatially compounded three dimensional ultrasonic images |
| US6443896B1 (en) | 2000-08-17 | 2002-09-03 | Koninklijke Philips Electronics N.V. | Method for creating multiplanar ultrasonic images of a three dimensional object |
| US7736313B2 (en) * | 2004-11-22 | 2010-06-15 | Carestream Health, Inc. | Detecting and classifying lesions in ultrasound images |
| JP5481108B2 (ja) * | 2009-06-26 | 2014-04-23 | 株式会社東芝 | 超音波診断装置及び自動診断支援装置 |
| JP2012122727A (ja) * | 2010-12-06 | 2012-06-28 | Furuno Electric Co Ltd | 底質判別装置、超音波探知機、パラメータ設定方法及びパラメータ設定プログラム |
| CN102895003B (zh) * | 2011-07-27 | 2015-10-28 | 复旦大学附属中山医院 | 一种超声波图像量化诊断系统 |
| CN102737382B (zh) * | 2012-06-22 | 2017-02-08 | 刘怡光 | 一种前列腺超声图像自动精确分割方法 |
| WO2016141449A1 (en) * | 2015-03-09 | 2016-09-15 | Her Majesty The Queen In Right Of Canada, As Represented By The Minister Of The Department Of National Defence | Computer-assisted focused assessment with sonography in trauma |
| US10588605B2 (en) * | 2015-10-27 | 2020-03-17 | General Electric Company | Methods and systems for segmenting a structure in medical images |
| US10339650B2 (en) * | 2016-01-07 | 2019-07-02 | Koios Medical, Inc. | Method and means of CAD system personalization to reduce intraoperator and interoperator variation |
| EP3287127A1 (en) * | 2016-08-26 | 2018-02-28 | Marios Theodotou | Resveratrol's effect on non- alcoholic fatty liver disease |
| US12383236B2 (en) * | 2016-10-19 | 2025-08-12 | Koninklijke Philips N.V. | Ultrasound system with deep learning network providing real time image identification |
-
2019
- 2019-07-22 EP EP19749606.0A patent/EP3826544B1/en active Active
- 2019-07-22 CN CN201980049721.2A patent/CN112469340A/zh active Pending
- 2019-07-22 US US17/263,172 patent/US12329570B2/en active Active
- 2019-07-22 WO PCT/EP2019/069637 patent/WO2020020809A1/en not_active Ceased
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160155227A1 (en) | 2014-11-28 | 2016-06-02 | Samsung Electronics Co., Ltd. | Computer-aided diagnostic apparatus and method based on diagnostic intention of user |
| US20170360403A1 (en) | 2016-06-20 | 2017-12-21 | Alex Rothberg | Automated image acquisition for assisting a user to operate an ultrasound device |
Non-Patent Citations (3)
| Title |
|---|
| ANDRADE Andreia, et al.,Classifier Approaches for Liver Steatosis using Ultrasound Images,Procedia Technology,ELSEVIER,2012年12月,Vol.5,pp.763-770 |
| KIM Kwang Baek, et al.,Quantification of Hepatorenal Index for Computer-Aided Fatty Liver Classification with Self-Organizing Map and Fuzzy Stretching from Ultrasonography,BioMed Reaearch International,Hindawi Publishing Corporation,2015年07月13日,2015(6):535894,pp.1-9 |
| SANTOS Jaime, et al.,Detection of pathologic liver using ultrasound images,Biomedical Signal Processing and Control,ELSEVIER,2014年09月06日,Vol.14,pp.248-255 |
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| WO2020020809A1 (en) | 2020-01-30 |
| US12329570B2 (en) | 2025-06-17 |
| EP3826544B1 (en) | 2024-06-05 |
| CN112469340A (zh) | 2021-03-09 |
| US20210177373A1 (en) | 2021-06-17 |
| JP2021531885A (ja) | 2021-11-25 |
| EP3826544A1 (en) | 2021-06-02 |
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