JP2025505492A5 - - Google Patents

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Publication number
JP2025505492A5
JP2025505492A5 JP2024535607A JP2024535607A JP2025505492A5 JP 2025505492 A5 JP2025505492 A5 JP 2025505492A5 JP 2024535607 A JP2024535607 A JP 2024535607A JP 2024535607 A JP2024535607 A JP 2024535607A JP 2025505492 A5 JP2025505492 A5 JP 2025505492A5
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JP
Japan
Prior art keywords
protocol
imaging sequences
examination
optimization
image
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.)
Pending
Application number
JP2024535607A
Other languages
English (en)
Japanese (ja)
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JP2025505492A (ja
Filing date
Publication date
Priority claimed from EP22156238.2A external-priority patent/EP4224193A1/en
Application filed filed Critical
Priority claimed from PCT/EP2023/051994 external-priority patent/WO2023148091A1/en
Publication of JP2025505492A publication Critical patent/JP2025505492A/ja
Publication of JP2025505492A5 publication Critical patent/JP2025505492A5/ja
Pending legal-status Critical Current

Links

JP2024535607A 2022-02-04 2023-01-27 Ｍｒ検査プロトコルの自動最適化 Pending JP2025505492A (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
EP22156238.2 2021-02-11
US202263306526P 2022-02-04 2022-02-04
US63/306,526 2022-02-04
EP22156238.2A EP4224193A1 (en) 2022-02-04 2022-02-11 Automatic optimization of mr examination protocols
PCT/EP2023/051994 WO2023148091A1 (en) 2022-02-04 2023-01-27 Automatic optimization of mr examination protocols

Publications (2)

Publication Number Publication Date
JP2025505492A JP2025505492A (ja) 2025-02-28
JP2025505492A5 true JP2025505492A5 (https=) 2026-01-23

Family

ID=85036903

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2024535607A Pending JP2025505492A (ja) 2022-02-04 2023-01-27 Ｍｒ検査プロトコルの自動最適化

Country Status (4)

Country Link
US (1) US20250138122A1 (https=)
EP (1) EP4473328A1 (https=)
JP (1) JP2025505492A (https=)
WO (1) WO2023148091A1 (https=)

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7906964B2 (en) 2007-01-29 2011-03-15 New York University Method and system for determining acquisition parameters associated with magnetic resonance imaging for a particular measurement time
CN103246073B (zh) * 2013-05-22 2015-06-24 天津中天证照印刷有限公司 一种动态立体图像的合成系统
US9339239B2 (en) * 2013-09-10 2016-05-17 Ohio State Innovation Foundation Methods and devices for optimization of magnetic resonance imaging protocols
US9689947B2 (en) * 2013-10-21 2017-06-27 Siemens Healthcare Gmbh Sampling strategies for sparse magnetic resonance image reconstruction
WO2015179258A2 (en) * 2014-05-17 2015-11-26 The Johns Hopkins University Mri-guided intraarterial catheter-based method for predicting territory of local blood brain barrier opening
WO2018085788A1 (en) * 2016-11-04 2018-05-11 The University Of North Carolina At Chapel Hill Office Of Commercialization And Economic Development Methods, systems, and computer readable media for smart image protocoling
AU2017391436B2 (en) * 2017-01-03 2020-06-18 Boston Scientific Neuromodulation Corporation Systems and methods for selecting MRI-compatible stimulation parameters
US10475214B2 (en) * 2017-04-05 2019-11-12 General Electric Company Tomographic reconstruction based on deep learning
EP3502727B1 (en) * 2017-12-22 2022-01-26 Siemens Healthcare GmbH Method for determining an imaging quality information for a magnetic resonance imaging apparatus from a signal-to-noise ratio at an anatomical landmark
CN209231768U (zh) * 2019-01-31 2019-08-09 福州大学 一种基于低分辨率红外热视技术的机柜热负荷监测系统

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