JP7183265B2 - 人工知能による解剖学的ランドマークのローカライゼーション - Google Patents
人工知能による解剖学的ランドマークのローカライゼーション Download PDFInfo
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- JP7183265B2 JP7183265B2 JP2020524843A JP2020524843A JP7183265B2 JP 7183265 B2 JP7183265 B2 JP 7183265B2 JP 2020524843 A JP2020524843 A JP 2020524843A JP 2020524843 A JP2020524843 A JP 2020524843A JP 7183265 B2 JP7183265 B2 JP 7183265B2
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- 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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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- High Energy & Nuclear Physics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Artificial Intelligence (AREA)
- Radiology & Medical Imaging (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Quality & Reliability (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP17202250.1 | 2017-11-17 | ||
| EP17202250.1A EP3486674A1 (en) | 2017-11-17 | 2017-11-17 | Artificial intelligence-enabled localization of anatomical landmarks |
| PCT/EP2018/081530 WO2019096981A1 (en) | 2017-11-17 | 2018-11-16 | Artificial intelligence-enabled localization of anatomical landmarks |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2021503319A JP2021503319A (ja) | 2021-02-12 |
| JP2021503319A5 JP2021503319A5 (https=) | 2021-11-25 |
| JP7183265B2 true JP7183265B2 (ja) | 2022-12-05 |
Family
ID=60484122
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020524843A Active JP7183265B2 (ja) | 2017-11-17 | 2018-11-16 | 人工知能による解剖学的ランドマークのローカライゼーション |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11475559B2 (https=) |
| EP (2) | EP3486674A1 (https=) |
| JP (1) | JP7183265B2 (https=) |
| CN (1) | CN111356930B (https=) |
| WO (1) | WO2019096981A1 (https=) |
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| WO2018125928A1 (en) | 2016-12-29 | 2018-07-05 | DeepScale, Inc. | Multi-channel sensor simulation for autonomous control systems |
| WO2018176000A1 (en) | 2017-03-23 | 2018-09-27 | DeepScale, Inc. | Data synthesis for autonomous control systems |
| US11409692B2 (en) | 2017-07-24 | 2022-08-09 | Tesla, Inc. | Vector computational unit |
| US11157441B2 (en) | 2017-07-24 | 2021-10-26 | Tesla, Inc. | Computational array microprocessor system using non-consecutive data formatting |
| US10671349B2 (en) | 2017-07-24 | 2020-06-02 | Tesla, Inc. | Accelerated mathematical engine |
| US11893393B2 (en) | 2017-07-24 | 2024-02-06 | Tesla, Inc. | Computational array microprocessor system with hardware arbiter managing memory requests |
| US12307350B2 (en) | 2018-01-04 | 2025-05-20 | Tesla, Inc. | Systems and methods for hardware-based pooling |
| US11561791B2 (en) | 2018-02-01 | 2023-01-24 | Tesla, Inc. | Vector computational unit receiving data elements in parallel from a last row of a computational array |
| US11215999B2 (en) | 2018-06-20 | 2022-01-04 | Tesla, Inc. | Data pipeline and deep learning system for autonomous driving |
| US11361457B2 (en) | 2018-07-20 | 2022-06-14 | Tesla, Inc. | Annotation cross-labeling for autonomous control systems |
| US11636333B2 (en) | 2018-07-26 | 2023-04-25 | Tesla, Inc. | Optimizing neural network structures for embedded systems |
| US11562231B2 (en) | 2018-09-03 | 2023-01-24 | Tesla, Inc. | Neural networks for embedded devices |
| KR20250078625A (ko) | 2018-10-11 | 2025-06-02 | 테슬라, 인크. | 증강 데이터로 기계 모델을 훈련하기 위한 시스템 및 방법 |
| US11196678B2 (en) | 2018-10-25 | 2021-12-07 | Tesla, Inc. | QOS manager for system on a chip communications |
| US11816585B2 (en) | 2018-12-03 | 2023-11-14 | Tesla, Inc. | Machine learning models operating at different frequencies for autonomous vehicles |
| US11537811B2 (en) | 2018-12-04 | 2022-12-27 | Tesla, Inc. | Enhanced object detection for autonomous vehicles based on field view |
| US11610117B2 (en) | 2018-12-27 | 2023-03-21 | Tesla, Inc. | System and method for adapting a neural network model on a hardware platform |
| US12346432B2 (en) * | 2018-12-31 | 2025-07-01 | Intel Corporation | Securing systems employing artificial intelligence |
| US11150664B2 (en) | 2019-02-01 | 2021-10-19 | Tesla, Inc. | Predicting three-dimensional features for autonomous driving |
| US10997461B2 (en) | 2019-02-01 | 2021-05-04 | Tesla, Inc. | Generating ground truth for machine learning from time series elements |
| US11567514B2 (en) | 2019-02-11 | 2023-01-31 | Tesla, Inc. | Autonomous and user controlled vehicle summon to a target |
| US10956755B2 (en) | 2019-02-19 | 2021-03-23 | Tesla, Inc. | Estimating object properties using visual image data |
| EP3799063A1 (en) * | 2019-09-26 | 2021-03-31 | Siemens Healthcare GmbH | Mri imaging with interleaved white marker contrast projections for ai-based passive device tracking |
| EP3875992B1 (en) | 2020-03-04 | 2024-12-25 | Hexagon Technology Center GmbH | Improving gpr scanning through the use of external scene knowledge |
| US20230281804A1 (en) * | 2020-07-31 | 2023-09-07 | Koninklijke Philips N.V. | Landmark detection in medical images |
| EP4059435A1 (en) * | 2021-03-15 | 2022-09-21 | Koninklijke Philips N.V. | Patient preparation for medical imaging |
| US12462575B2 (en) | 2021-08-19 | 2025-11-04 | Tesla, Inc. | Vision-based machine learning model for autonomous driving with adjustable virtual camera |
| WO2023023265A1 (en) | 2021-08-19 | 2023-02-23 | Tesla, Inc. | Vision-based system training with simulated content |
| CN114255295A (zh) * | 2021-12-22 | 2022-03-29 | 深圳市联影高端医疗装备创新研究院 | 图像采集参数的确定方法及装置、处理设备及芯片 |
| KR102470875B1 (ko) * | 2022-05-13 | 2022-11-25 | 주식회사 쓰리디오엔에스 | 3d 의료 영상 기반의 목표 영상 생성방법, 장치 및 컴퓨터프로그램 |
| CN115343623B (zh) * | 2022-08-31 | 2023-06-16 | 中国长江三峡集团有限公司 | 一种电化学储能电池故障的在线检测方法及装置 |
| KR20240127540A (ko) * | 2023-02-15 | 2024-08-23 | 성균관대학교산학협력단 | 데이터베이스 기반의 실시간 환자 맞춤형 승모판 성형술 시뮬레이션 방법 및 이를 위한 시뮬레이션 장치 |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130336553A1 (en) | 2010-08-13 | 2013-12-19 | Smith & Nephew, Inc. | Detection of anatomical landmarks |
| US20150043774A1 (en) | 2013-08-09 | 2015-02-12 | Siemens Aktiengesellschaft | Automatic Planning For Medical Imaging |
| JP2015217039A (ja) | 2014-05-15 | 2015-12-07 | 富士フイルム株式会社 | 画像処理装置、方法およびプログラム |
| JP2016522708A (ja) | 2013-05-03 | 2016-08-04 | インパック メディカル システムズ、 インク.Impac Medical Systems Inc. | 診療計画を導くための画像の構造形状を自動的に表示する方法及び装置 |
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| WO2003010555A2 (en) * | 2001-07-24 | 2003-02-06 | Case Western Reserve University | X-ray dose control based on patient size |
| US7676257B2 (en) * | 2003-11-25 | 2010-03-09 | General Electric Company | Method and apparatus for segmenting structure in CT angiography |
| JP2007534411A (ja) * | 2004-04-26 | 2007-11-29 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | 磁気共鳴イメージングを計画する装置及び方法 |
| US7742800B2 (en) * | 2004-05-10 | 2010-06-22 | General Electric Company | Methods and systems for detection and monitoring of neurodegenerative diseases using magnetic resonance spectroscopy |
| EP1780672A1 (en) * | 2005-10-25 | 2007-05-02 | Bracco Imaging, S.P.A. | Method of registering images, algorithm for carrying out the method of registering images, a program for registering images using the said algorithm and a method of treating biomedical images to reduce imaging artefacts caused by object movement |
| DE102006043910B4 (de) * | 2006-09-19 | 2010-02-25 | Siemens Ag | Ergebnisfilter und Verfahren zur Selektion der Ergebnisdaten einer Applikation zur automatischen Mustererkennung |
| WO2008120155A2 (en) * | 2007-03-30 | 2008-10-09 | Koninklijke Philips Electronics N.V. | Learning anatomy dependent viewing parameters on medical viewing workstations |
| WO2008155738A2 (en) * | 2007-06-21 | 2008-12-24 | Koninklijke Philips Electronics N.V. | Adjusting acquisition protocols for dynamic medical imaging using dynamic models |
| JP5629582B2 (ja) * | 2007-12-13 | 2014-11-19 | コーニンクレッカ フィリップス エヌ ヴェ | 医療画像データの組からデータを検索する方法、システム及びコンピュータ・プログラム |
| EP2232443A4 (en) * | 2008-01-10 | 2012-07-04 | Agency Science Tech & Res | DISTINCTION OF INFARTS AND ARTIFACTS IN MRI COLLECTION DATA |
| US8218849B2 (en) | 2008-09-04 | 2012-07-10 | Siemens Corporation | Method and system for automatic landmark detection using discriminative joint context |
| WO2010052629A1 (en) * | 2008-11-05 | 2010-05-14 | Koninklijke Philips Electronics N.V. | Automated sequential planning of mr scans |
| EP2194486A1 (en) * | 2008-12-04 | 2010-06-09 | Koninklijke Philips Electronics N.V. | A method, apparatus, and computer program product for acquiring medical image data |
| WO2010113050A2 (en) * | 2009-04-02 | 2010-10-07 | Koninklijke Philips Electronics N.V. | Automated anatomy delineation for image guided therapy planning |
| DE112010004349T5 (de) * | 2009-11-11 | 2012-12-13 | Activiews Ltd. | Systeme & Verfahren zum Planen und Durchführen perkutaner Nadelverfahren |
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| US20120220855A1 (en) | 2011-02-24 | 2012-08-30 | Siemens Corporation | Method and System for MR Scan Range Planning |
| RU2634636C2 (ru) * | 2012-06-20 | 2017-11-02 | Конинклейке Филипс Н.В. | Графический пользовательский интерфейс для медицинских инструментов |
| GB201217372D0 (en) * | 2012-09-28 | 2012-11-14 | Ucl Business Plc | A system and method for annotating images by propagating information |
| BR112015011289A2 (pt) * | 2012-11-20 | 2017-07-11 | Koninklijke Philips Nv | mídia de armazenamento não transitório, aparelho e método |
| BR112015024385A2 (pt) * | 2013-03-26 | 2017-07-18 | Koninklijke Philips Nv | aparelho de apoio para sustentar um usuário em um processo de diagnóstico para estadiamento de câncer de próstata, método de sustentação para sustentar um usuário em um processo de diagnóstico para estadiamento de câncer de próstata, e programa computadorizado de suporte para sustentar um usuário em um processo de diagnóstico para estadiamento de câncer de próstata |
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| KR101636876B1 (ko) | 2014-11-03 | 2016-07-06 | 삼성전자주식회사 | 의료 영상 처리 장치 및 방법 |
| US10032250B2 (en) * | 2015-01-30 | 2018-07-24 | Koninklijke Philips N.V. | Automated scan planning for follow-up magnetic resonance imaging |
| US9569736B1 (en) * | 2015-09-16 | 2017-02-14 | Siemens Healthcare Gmbh | Intelligent medical image landmark detection |
| US9792531B2 (en) * | 2015-09-16 | 2017-10-17 | Siemens Healthcare Gmbh | Intelligent multi-scale medical image landmark detection |
-
2017
- 2017-11-17 EP EP17202250.1A patent/EP3486674A1/en not_active Withdrawn
-
2018
- 2018-11-16 JP JP2020524843A patent/JP7183265B2/ja active Active
- 2018-11-16 WO PCT/EP2018/081530 patent/WO2019096981A1/en not_active Ceased
- 2018-11-16 US US16/764,009 patent/US11475559B2/en active Active
- 2018-11-16 EP EP18800213.3A patent/EP3710847B1/en active Active
- 2018-11-16 CN CN201880074354.7A patent/CN111356930B/zh active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130336553A1 (en) | 2010-08-13 | 2013-12-19 | Smith & Nephew, Inc. | Detection of anatomical landmarks |
| JP2016522708A (ja) | 2013-05-03 | 2016-08-04 | インパック メディカル システムズ、 インク.Impac Medical Systems Inc. | 診療計画を導くための画像の構造形状を自動的に表示する方法及び装置 |
| US20150043774A1 (en) | 2013-08-09 | 2015-02-12 | Siemens Aktiengesellschaft | Automatic Planning For Medical Imaging |
| JP2015217039A (ja) | 2014-05-15 | 2015-12-07 | 富士フイルム株式会社 | 画像処理装置、方法およびプログラム |
Also Published As
| Publication number | Publication date |
|---|---|
| US20200279371A1 (en) | 2020-09-03 |
| EP3710847B1 (en) | 2025-04-30 |
| EP3710847A1 (en) | 2020-09-23 |
| CN111356930A (zh) | 2020-06-30 |
| CN111356930B (zh) | 2023-09-12 |
| JP2021503319A (ja) | 2021-02-12 |
| EP3486674A1 (en) | 2019-05-22 |
| WO2019096981A1 (en) | 2019-05-23 |
| US11475559B2 (en) | 2022-10-18 |
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