JPWO2020234204A5 - - Google Patents
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- JPWO2020234204A5 JPWO2020234204A5 JP2021568555A JP2021568555A JPWO2020234204A5 JP WO2020234204 A5 JPWO2020234204 A5 JP WO2020234204A5 JP 2021568555 A JP2021568555 A JP 2021568555A JP 2021568555 A JP2021568555 A JP 2021568555A JP WO2020234204 A5 JPWO2020234204 A5 JP WO2020234204A5
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- JP
- Japan
- Prior art keywords
- training
- magnetic resonance
- visual field
- alignment data
- field alignment
- 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.)
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- 230000000007 visual effect Effects 0.000 claims 21
- 238000002595 magnetic resonance imaging Methods 0.000 claims 12
- 230000004044 response Effects 0.000 claims 11
- 238000001208 nuclear magnetic resonance pulse sequence Methods 0.000 claims 6
- 238000004590 computer program Methods 0.000 claims 3
- 238000010801 machine learning Methods 0.000 claims 3
- 238000000034 method Methods 0.000 claims 3
- 238000013527 convolutional neural network Methods 0.000 claims 1
- 238000002059 diagnostic imaging Methods 0.000 claims 1
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP19175092.6 | 2019-05-17 | ||
| EP19175092 | 2019-05-17 | ||
| RU2019120557 | 2019-07-02 | ||
| RU2019120557 | 2019-07-02 | ||
| PCT/EP2020/063744 WO2020234204A1 (en) | 2019-05-17 | 2020-05-16 | Automated field of view alignment for magnetic resonance imaging |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022533165A JP2022533165A (ja) | 2022-07-21 |
| JPWO2020234204A5 true JPWO2020234204A5 (zh) | 2023-05-23 |
| JP7391112B2 JP7391112B2 (ja) | 2023-12-04 |
Family
ID=70680522
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021568555A Active JP7391112B2 (ja) | 2019-05-17 | 2020-05-16 | 磁気共鳴イメージングのための自動的な視野整列 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20220225888A1 (zh) |
| EP (1) | EP3969923A1 (zh) |
| JP (1) | JP7391112B2 (zh) |
| CN (1) | CN113853526A (zh) |
| WO (1) | WO2020234204A1 (zh) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117805708A (zh) | 2021-03-04 | 2024-04-02 | 海珀菲纳运营有限公司 | Mri系统、使用mri系统对被检体进行成像的方法和存储介质 |
| CN117671284B (zh) * | 2023-12-06 | 2024-04-30 | 广州科松医疗智能科技有限公司 | 侵入性胎盘植入影像特征ai智能提取系统 |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102008064106A1 (de) * | 2008-12-19 | 2010-07-08 | Siemens Aktiengesellschaft | Verfahren zur Bildaufnahme mit einer Magnetresonanzeinrichtung und Magnetresonanzeinrichtung |
| US9684961B2 (en) * | 2013-03-06 | 2017-06-20 | Koninklijke Philips N.V. | Scan region determining apparatus |
| US9471987B2 (en) * | 2013-08-09 | 2016-10-18 | Siemens Healthcare Gmbh | Automatic planning for medical imaging |
| GB2567116B (en) * | 2016-07-11 | 2021-12-01 | Synaptive Medical Inc | Adaptive shim colis for MR imaging |
| US11800978B2 (en) * | 2016-08-05 | 2023-10-31 | Siemens Healthcare Gmbh | Deep learning based isocenter positioning and fully automated cardiac MR exam planning |
| US10452813B2 (en) * | 2016-11-17 | 2019-10-22 | Terarecon, Inc. | Medical image identification and interpretation |
| US11868852B1 (en) * | 2017-05-04 | 2024-01-09 | Amazon Technologies, Inc. | Introspection of machine learning estimations |
| CA3085448A1 (en) * | 2017-12-13 | 2019-06-29 | Washington University | System and method for determining segments for ablation |
| US11191281B1 (en) * | 2018-01-05 | 2021-12-07 | Tyson Foods, Inc. | Method and apparatus for conveying a meat product and using an ultrasonic knife for automated cutting of meat |
| EP3557274A1 (en) * | 2018-04-19 | 2019-10-23 | Koninklijke Philips N.V. | Automatic artifact detection and pulse sequence modification in magnetic resonance imaging |
| TW202001804A (zh) * | 2018-04-20 | 2020-01-01 | 成真股份有限公司 | 用精細解析進行資料管理和機器學習的方法 |
| US10852379B2 (en) * | 2018-06-07 | 2020-12-01 | Siemens Healthcare Gmbh | Artifact reduction by image-to-image network in magnetic resonance imaging |
| WO2020132713A1 (en) * | 2018-12-24 | 2020-07-02 | Body Composition Technologies Pty Ltd | Analysing a body |
| WO2020186013A2 (en) * | 2019-03-14 | 2020-09-17 | Hyperfine Research, Inc. | Deep learning techniques for generating magnetic resonance images from spatial frequency data |
| US11087172B2 (en) * | 2019-12-31 | 2021-08-10 | Plus One Robotics, Inc. | Systems and methods for creating training data |
| US11651518B2 (en) * | 2021-06-03 | 2023-05-16 | Meta Platforms Technologies, Llc | System for determining an expected field of view |
| US11868672B1 (en) * | 2023-03-30 | 2024-01-09 | Brelyon, Inc. | Methods and systems for interactive displays with intelligent generative content and tandem computing |
-
2020
- 2020-05-16 US US17/610,455 patent/US20220225888A1/en active Pending
- 2020-05-16 EP EP20725193.5A patent/EP3969923A1/en active Pending
- 2020-05-16 WO PCT/EP2020/063744 patent/WO2020234204A1/en active Application Filing
- 2020-05-16 JP JP2021568555A patent/JP7391112B2/ja active Active
- 2020-05-16 CN CN202080036637.XA patent/CN113853526A/zh active Pending
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