JP2020509853A5 - - Google Patents

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JP2020509853A5
JP2020509853A5 JP2019549526A JP2019549526A JP2020509853A5 JP 2020509853 A5 JP2020509853 A5 JP 2020509853A5 JP 2019549526 A JP2019549526 A JP 2019549526A JP 2019549526 A JP2019549526 A JP 2019549526A JP 2020509853 A5 JP2020509853 A5 JP 2020509853A5
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Japan
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image data
generating
image
filtered
data
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JP2019549526A
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Japanese (ja)
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JP2020509853A (ja
JP6932200B2 (ja
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Priority claimed from EP17163120.3A external-priority patent/EP3382423A1/en
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JP2019549526A 2017-03-13 2018-03-13 超音波画像クラッターをフィルタ処理するための方法及びシステム Active JP6932200B2 (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201762470375P 2017-03-13 2017-03-13
US62/470,375 2017-03-13
EP17163120.3 2017-03-27
EP17163120.3A EP3382423A1 (en) 2017-03-27 2017-03-27 Methods and systems for filtering ultrasound image clutter
PCT/EP2018/056307 WO2018167101A1 (en) 2017-03-13 2018-03-13 Methods and systems for filtering ultrasound image clutter

Publications (3)

Publication Number Publication Date
JP2020509853A JP2020509853A (ja) 2020-04-02
JP2020509853A5 true JP2020509853A5 (enExample) 2021-02-25
JP6932200B2 JP6932200B2 (ja) 2021-09-08

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JP2019549526A Active JP6932200B2 (ja) 2017-03-13 2018-03-13 超音波画像クラッターをフィルタ処理するための方法及びシステム

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US (1) US11435459B2 (enExample)
EP (2) EP3382423A1 (enExample)
JP (1) JP6932200B2 (enExample)
CN (1) CN110431443B (enExample)
WO (1) WO2018167101A1 (enExample)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
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CN110554393B (zh) * 2019-07-12 2023-05-23 华南理工大学 基于深度学习的高对比度最小方差成像方法
EP4103062B1 (en) * 2020-02-12 2024-12-18 Mayo Foundation for Medical Education and Research High-sensitivity and real-time ultrasound blood flow imaging based on adaptive and localized spatiotemporal clutter filtering
CN117321444A (zh) * 2021-04-26 2023-12-29 飞利浦影像引导治疗公司 用于超声图像生成的滤波和切趾组合以及关联系统、方法和设备
KR102588193B1 (ko) * 2021-12-24 2023-10-11 국립암센터 Rf신호로부터 혈류의 속력을 측정하는 방법

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