CN113168539B - 在磁共振成像中确定进一步的处理位置 - Google Patents
在磁共振成像中确定进一步的处理位置 Download PDFInfo
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- CN113168539B CN113168539B CN201980076393.5A CN201980076393A CN113168539B CN 113168539 B CN113168539 B CN 113168539B CN 201980076393 A CN201980076393 A CN 201980076393A CN 113168539 B CN113168539 B CN 113168539B
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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
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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
- G01R33/546—Interface between the MR system and the user, e.g. for controlling the operation of the MR system or for the design of pulse sequences
-
- 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
- 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
- G01R33/563—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution of moving material, e.g. flow contrast angiography
- G01R33/56308—Characterization of motion or flow; Dynamic imaging
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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
- G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
- G01R33/563—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution of moving material, e.g. flow contrast angiography
- G01R33/56366—Perfusion imaging
-
- 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
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- 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]
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- 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
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- 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
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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
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- 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
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- 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
-
- 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]
- G06T2207/10096—Dynamic contrast-enhanced magnetic resonance imaging [DCE-MRI]
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- 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
-
- 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
- G06T2207/20084—Artificial neural networks [ANN]
-
- 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
- G06T2207/20092—Interactive image processing based on input by user
- G06T2207/20101—Interactive definition of point of interest, landmark or seed
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- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30016—Brain
-
- 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
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Signal Processing (AREA)
- High Energy & Nuclear Physics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Radiology & Medical Imaging (AREA)
- Medical Informatics (AREA)
- Multimedia (AREA)
- Databases & Information Systems (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Molecular Biology (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Vascular Medicine (AREA)
- Quality & Reliability (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP18207254.6 | 2018-11-20 | ||
| EP18207254.6A EP3657393A1 (en) | 2018-11-20 | 2018-11-20 | Determination of a further processing location in magnetic resonance imaging |
| PCT/EP2019/081797 WO2020104455A1 (en) | 2018-11-20 | 2019-11-19 | Determination of a further processing location in magnetic resonance imaging |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113168539A CN113168539A (zh) | 2021-07-23 |
| CN113168539B true CN113168539B (zh) | 2024-09-13 |
Family
ID=64402087
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980076393.5A Active CN113168539B (zh) | 2018-11-20 | 2019-11-19 | 在磁共振成像中确定进一步的处理位置 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US12111373B2 (https=) |
| EP (2) | EP3657393A1 (https=) |
| JP (2) | JP7420802B2 (https=) |
| CN (1) | CN113168539B (https=) |
| WO (1) | WO2020104455A1 (https=) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10210956B2 (en) | 2012-10-24 | 2019-02-19 | Cathworks Ltd. | Diagnostically useful results in real time |
| JP7036742B2 (ja) | 2016-05-16 | 2022-03-15 | キャスワークス リミテッド | 血管評価システム |
| JP7532402B2 (ja) | 2019-04-01 | 2024-08-13 | キャスワークス リミテッド | 血管造影画像選択のための方法および装置 |
| EP4033964B1 (en) | 2019-09-23 | 2025-04-09 | Cathworks Ltd. | Methods, apparatus, and system for synchronization between a three-dimensional vascular model and an imaging device |
| US12315076B1 (en) | 2021-09-22 | 2025-05-27 | Cathworks Ltd. | Four-dimensional motion analysis of a patient's coronary arteries and myocardial wall |
| KR20240148399A (ko) | 2022-02-10 | 2024-10-11 | 캐스웍스 엘티디. | 기계 학습 기반 센서 분석 및 혈관 트리 분할을 위한 시스템 및 방법 |
| US20250152252A1 (en) * | 2022-02-23 | 2025-05-15 | Covidien Lp | Mri based navigation |
| IL326432A (en) | 2023-08-09 | 2026-04-01 | Cathworks Ltd | Coronary artery assessment after PCI |
| CN121942048A (zh) | 2023-08-09 | 2026-04-28 | 凯思沃克斯有限公司 | 针对血管指数测量的增强用户界面和串扰分析 |
| US12512196B2 (en) | 2024-06-12 | 2025-12-30 | Cathworks Ltd. | Systems and methods for secure sharing of cardiac assessments using QR codes |
Family Cites Families (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2856479B2 (ja) * | 1990-02-27 | 1999-02-10 | 株式会社東芝 | 磁気共鳴診断装置 |
| JP3641495B2 (ja) * | 1994-07-19 | 2005-04-20 | 株式会社日立メディコ | 医用画像診断装置 |
| JP4160468B2 (ja) * | 2003-07-11 | 2008-10-01 | 株式会社日立メディコ | 磁気共鳴イメージング装置 |
| WO2007043462A1 (ja) * | 2005-10-12 | 2007-04-19 | Tokyo Denki University | 脳機能解析方法および脳機能解析プログラム |
| EP1881453A3 (en) * | 2006-07-18 | 2009-07-22 | Kabushiki Kaisha Toshiba | A medical image-processing apparatus and a method for processing medical images |
| US7961922B2 (en) * | 2007-05-31 | 2011-06-14 | The Board Of Regents Of The University Of Texas System | Systems and methods for processing medical image data to facilitate comparisons among groups of subjects |
| WO2010052629A1 (en) * | 2008-11-05 | 2010-05-14 | Koninklijke Philips Electronics N.V. | Automated sequential planning of mr scans |
| WO2010055405A2 (en) * | 2008-11-14 | 2010-05-20 | Apollo Medical Imaging Technology Pty Ltd | Method and system for mapping tissue status of acute stroke |
| JP5479115B2 (ja) * | 2010-01-07 | 2014-04-23 | 株式会社東芝 | 画像処理装置及び磁気共鳴イメージング装置 |
| JP2012061074A (ja) * | 2010-09-15 | 2012-03-29 | Ge Medical Systems Global Technology Co Llc | 磁気共鳴イメージング装置 |
| JP5736459B2 (ja) * | 2011-08-25 | 2015-06-17 | 株式会社日立メディコ | 医用画像撮影装置 |
| US11074495B2 (en) * | 2013-02-28 | 2021-07-27 | Z Advanced Computing, Inc. (Zac) | System and method for extremely efficient image and pattern recognition and artificial intelligence platform |
| JP5748636B2 (ja) | 2011-10-26 | 2015-07-15 | 富士フイルム株式会社 | 画像処理装置および方法並びにプログラム |
| JP5977158B2 (ja) * | 2012-11-30 | 2016-08-24 | ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー | 検出装置、磁気共鳴装置、検出方法、およびプログラム |
| DE102012222073B4 (de) * | 2012-12-03 | 2014-12-18 | Siemens Aktiengesellschaft | Verfahren zur Auswertung von Bilddatensätzen und Kombinationsbildaufnahmeeinrichtung |
| CA2933684A1 (en) * | 2012-12-14 | 2014-06-19 | The Trustees Of Columbia University In The City Of New York | Markerless tracking of robotic surgical tools |
| US9775557B2 (en) * | 2013-04-03 | 2017-10-03 | Vanderbilt University | Quantifying breast tissue changes with spectrally selective MRI and MRS |
| US10444277B2 (en) * | 2014-01-03 | 2019-10-15 | Koninklijke Philips N.V. | Calculation of the probability of gradient coil amplifier failure using environment data |
| CN106170246A (zh) * | 2014-01-17 | 2016-11-30 | 阿特瑞斯公司 | 用于四维(4d)流磁共振成像的设备、方法和产品 |
| JP5847247B2 (ja) * | 2014-07-14 | 2016-01-20 | 株式会社東芝 | 磁気共鳴イメージング装置 |
| JP6568210B2 (ja) * | 2014-09-26 | 2019-08-28 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | シングルボクセル分光法のための撮像システム |
| JP2016189979A (ja) * | 2015-03-31 | 2016-11-10 | 東芝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 |
| US11024024B2 (en) | 2015-12-15 | 2021-06-01 | The Regents Of The University Of California | Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks |
| US20190150764A1 (en) | 2016-05-02 | 2019-05-23 | The Regents Of The University Of California | System and Method for Estimating Perfusion Parameters Using Medical Imaging |
| US11137462B2 (en) * | 2016-06-10 | 2021-10-05 | Board Of Trustees Of Michigan State University | System and method for quantifying cell numbers in magnetic resonance imaging (MRI) |
| US10845444B2 (en) * | 2017-01-17 | 2020-11-24 | The General Hospital Corporation | System and method for magnetic resonance fingerprinting using neural networks trained with sparsely sampled dictionaries |
| CN108596904B (zh) * | 2018-05-07 | 2020-09-29 | 北京长木谷医疗科技有限公司 | 生成定位模型的方法及对脊柱矢状位图像进行处理的方法 |
-
2018
- 2018-11-20 EP EP18207254.6A patent/EP3657393A1/en not_active Withdrawn
-
2019
- 2019-11-19 WO PCT/EP2019/081797 patent/WO2020104455A1/en not_active Ceased
- 2019-11-19 EP EP19804728.4A patent/EP3884429B1/en active Active
- 2019-11-19 JP JP2021525554A patent/JP7420802B2/ja active Active
- 2019-11-19 US US17/294,698 patent/US12111373B2/en active Active
- 2019-11-19 CN CN201980076393.5A patent/CN113168539B/zh active Active
-
2023
- 2023-12-15 JP JP2023211846A patent/JP2024041762A/ja active Pending
Non-Patent Citations (1)
| Title |
|---|
| Scalable Object Detection using Deep Neural Networks;Dumitru Erhan;2014 IEEE Conference on Computer Vision and Pattern Recognition;2155-2162 * |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7420802B2 (ja) | 2024-01-23 |
| EP3884429B1 (en) | 2025-03-26 |
| EP3884429A1 (en) | 2021-09-29 |
| JP2024041762A (ja) | 2024-03-27 |
| JP2022507136A (ja) | 2022-01-18 |
| US12111373B2 (en) | 2024-10-08 |
| CN113168539A (zh) | 2021-07-23 |
| WO2020104455A1 (en) | 2020-05-28 |
| US20220012876A1 (en) | 2022-01-13 |
| EP3657393A1 (en) | 2020-05-27 |
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