JP2022534031A5 - - Google Patents
Info
- Publication number
- JP2022534031A5 JP2022534031A5 JP2021569335A JP2021569335A JP2022534031A5 JP 2022534031 A5 JP2022534031 A5 JP 2022534031A5 JP 2021569335 A JP2021569335 A JP 2021569335A JP 2021569335 A JP2021569335 A JP 2021569335A JP 2022534031 A5 JP2022534031 A5 JP 2022534031A5
- Authority
- JP
- Japan
- Prior art keywords
- motion
- image
- space
- training
- feature matrix
- 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.)
- Granted
Links
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP19176878.7 | 2019-05-28 | ||
| EP19176878.7A EP3745153A1 (en) | 2019-05-28 | 2019-05-28 | A method for motion artifact detection |
| PCT/EP2020/064376 WO2020239661A1 (en) | 2019-05-28 | 2020-05-25 | A method for motion artifact detection |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022534031A JP2022534031A (ja) | 2022-07-27 |
| JP2022534031A5 true JP2022534031A5 (https=) | 2023-05-24 |
| JP7420834B2 JP7420834B2 (ja) | 2024-01-23 |
Family
ID=66668764
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021569335A Active JP7420834B2 (ja) | 2019-05-28 | 2020-05-25 | 運動アーチファクト検出の方法 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11995825B2 (https=) |
| EP (2) | EP3745153A1 (https=) |
| JP (1) | JP7420834B2 (https=) |
| CN (1) | CN113892149B (https=) |
| WO (1) | WO2020239661A1 (https=) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12450752B2 (en) * | 2021-11-29 | 2025-10-21 | Canon Medical Systems Corporation | Motion correction of images corrupted by multiple motion sources |
| 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 |
| CN118447123B (zh) * | 2024-07-08 | 2024-09-13 | 南昌睿度医疗科技有限公司 | 一种核磁共振图像伪影去除方法及系统 |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7392161B2 (en) | 2004-09-24 | 2008-06-24 | International Business Machines Corporation | Identifying a state of a system using an artificial neural network generated model |
| US9811924B2 (en) * | 2011-04-19 | 2017-11-07 | University Of Virginia Patent Foundation | Interferometric techniques for magnetic resonance imaging |
| US8724881B2 (en) * | 2011-11-09 | 2014-05-13 | Siemens Aktiengesellschaft | Method and system for precise segmentation of the left atrium in C-arm computed tomography volumes |
| US10092199B2 (en) * | 2014-04-01 | 2018-10-09 | Siemens Healthcare Gmbh | MR imaging apparatus and method for generating a perfusion image with motion correction |
| CN106156807B (zh) | 2015-04-02 | 2020-06-02 | 华中科技大学 | 卷积神经网络模型的训练方法及装置 |
| CN104749538B (zh) * | 2015-04-30 | 2016-02-03 | 郑州轻工业学院 | 一种并行磁共振成像相位处理方法 |
| US10429477B2 (en) * | 2015-08-21 | 2019-10-01 | Shanghai United Imaging Healthcare Co., Ltd. | System and method for flip angle determination in magnetic resonance imaging |
| JP6873600B2 (ja) | 2016-03-04 | 2021-05-19 | キヤノン株式会社 | 画像認識装置、画像認識方法及びプログラム |
| US10074037B2 (en) * | 2016-06-03 | 2018-09-11 | Siemens Healthcare Gmbh | System and method for determining optimal operating parameters for medical imaging |
| CN108022215B (zh) * | 2016-11-02 | 2020-05-15 | 奥泰医疗系统有限责任公司 | 基于数据一致性和图像伪影分解技术的运动伪影消除方法 |
| CN110226100B (zh) * | 2017-01-25 | 2022-03-15 | 上海联影医疗科技股份有限公司 | 用于磁共振成像的系统和方法 |
| CN111684492B (zh) * | 2017-06-26 | 2024-03-15 | 医科达有限公司 | 使用深度卷积神经网络来改善锥形束ct图像质量的方法 |
| JP6772112B2 (ja) * | 2017-07-31 | 2020-10-21 | 株式会社日立製作所 | 医用撮像装置及び医用画像処理方法 |
| CN107507148B (zh) * | 2017-08-30 | 2018-12-18 | 南方医科大学 | 基于卷积神经网络去除磁共振图像降采样伪影的方法 |
| EP3477583A1 (en) * | 2017-10-31 | 2019-05-01 | Koninklijke Philips N.V. | Deep-learning based processing of motion artifacts in magnetic resonance imaging data |
| US10698063B2 (en) * | 2017-11-01 | 2020-06-30 | Siemens Healthcare Gmbh | Motion artifact reduction of magnetic resonance images with an adversarial trained network |
| CN109801259A (zh) * | 2018-12-18 | 2019-05-24 | 中国科学院深圳先进技术研究院 | 一种核磁共振图像的快速成像方法、装置及设备 |
-
2019
- 2019-05-28 EP EP19176878.7A patent/EP3745153A1/en not_active Withdrawn
-
2020
- 2020-05-25 US US17/613,101 patent/US11995825B2/en active Active
- 2020-05-25 JP JP2021569335A patent/JP7420834B2/ja active Active
- 2020-05-25 EP EP20732740.4A patent/EP3977150A1/en not_active Withdrawn
- 2020-05-25 CN CN202080039752.2A patent/CN113892149B/zh active Active
- 2020-05-25 WO PCT/EP2020/064376 patent/WO2020239661A1/en not_active Ceased
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