JP2020513975A5 - - Google Patents

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Publication number
JP2020513975A5
JP2020513975A5 JP2019551642A JP2019551642A JP2020513975A5 JP 2020513975 A5 JP2020513975 A5 JP 2020513975A5 JP 2019551642 A JP2019551642 A JP 2019551642A JP 2019551642 A JP2019551642 A JP 2019551642A JP 2020513975 A5 JP2020513975 A5 JP 2020513975A5
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JP
Japan
Prior art keywords
magnetic resonance
imaging system
medical imaging
image
grayscale value
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JP2019551642A
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English (en)
Japanese (ja)
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JP2020513975A (ja
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Priority claimed from EP17161811.9A external-priority patent/EP3379281A1/en
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Publication of JP2020513975A publication Critical patent/JP2020513975A/ja
Publication of JP2020513975A5 publication Critical patent/JP2020513975A5/ja
Pending legal-status Critical Current

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JP2019551642A 2017-03-20 2018-03-15 基準グレイスケール値を用いる画像セグメンテーション Pending JP2020513975A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP17161811.9 2017-03-20
EP17161811.9A EP3379281A1 (en) 2017-03-20 2017-03-20 Image segmentation using reference gray scale values
PCT/EP2018/056475 WO2018172169A1 (en) 2017-03-20 2018-03-15 Image segmentation using reference gray scale values

Publications (2)

Publication Number Publication Date
JP2020513975A JP2020513975A (ja) 2020-05-21
JP2020513975A5 true JP2020513975A5 (https=) 2021-04-22

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JP2019551642A Pending JP2020513975A (ja) 2017-03-20 2018-03-15 基準グレイスケール値を用いる画像セグメンテーション

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US (1) US11249160B2 (https=)
EP (2) EP3379281A1 (https=)
JP (1) JP2020513975A (https=)
CN (1) CN110785674B (https=)
WO (1) WO2018172169A1 (https=)

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10753997B2 (en) * 2017-08-10 2020-08-25 Siemens Healthcare Gmbh Image standardization using generative adversarial networks
CA3041140C (en) * 2018-04-26 2021-12-14 NeuralSeg Ltd. Systems and methods for segmenting an image
EP3644275A1 (en) * 2018-10-22 2020-04-29 Koninklijke Philips N.V. Predicting correctness of algorithmic segmentation
WO2020110774A1 (ja) * 2018-11-30 2020-06-04 富士フイルム株式会社 画像処理装置、画像処理方法、及びプログラム
CN110443121A (zh) * 2019-06-25 2019-11-12 国网福建省电力有限公司检修分公司 一种提高阀厅地面水迹识别率的方法
CN112834541B (zh) * 2020-01-03 2022-07-29 上海纽迈电子科技有限公司 一种钠含量及钠分布的测试方法
US11756240B2 (en) * 2020-02-28 2023-09-12 Shanghai United Imaging Intelligence Co., Ltd. Plugin and dynamic image modality reconstruction interface device
EP4165424A4 (en) * 2020-06-10 2024-07-17 Corsmed AB MAGNETIC RESONANCE IMAGING SIMULATION METHOD
JP2022044508A (ja) * 2020-09-07 2022-03-17 国立大学法人 東京大学 装置、プログラム、方法及び試料セット
JP7762712B2 (ja) * 2020-09-18 2025-10-30 コルスメド アクチエボラグ 磁気共鳴（ｍｒ）イメージングシミュレーションを対象とする方法
US20220101518A1 (en) * 2020-09-25 2022-03-31 GE Precision Healthcare LLC System and method for stylizing a medical image
CN114500498B (zh) * 2021-12-28 2023-12-08 武汉联影医疗科技有限公司 Dicom文件传输与存储方法、系统、设备及存储介质
CN113744850A (zh) * 2021-09-06 2021-12-03 上海康达卡勒幅医疗科技有限公司 非配对多中心磁共振数据和谐化方法、存储介质及应用
CN113920065B (zh) * 2021-09-18 2023-04-28 天津大学 用于工业现场的视觉检测系统成像质量评价方法
CN114862799B (zh) * 2022-05-10 2023-06-23 同心医联科技（北京）有限公司 一种用于flair-mri序列的全自动脑体积分割方法
CN117640932B (zh) * 2024-01-25 2024-04-26 陕西通达伟业医疗供应链管理有限公司 用于远程医疗的神经内科图像压缩传输方法
DE102024206359B3 (de) * 2024-07-05 2025-09-11 Siemens Healthineers Ag Übertragung eines gewünschten Bildeindrucks zwischen unterschiedlichen Magnetresonanzbildgebungssystemen

Family Cites Families (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6965235B1 (en) 2003-07-24 2005-11-15 General Electric Company Apparatus to simulate MR properties of human brain for MR applications evaluation
WO2005055008A2 (en) 2003-11-26 2005-06-16 Viatronix Incorporated Automated segmentation, visualization and analysis of medical images
JP2008510557A (ja) 2004-08-25 2008-04-10 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ 校正されたファントムを使用して局所弛緩時間値を決定する方法
WO2009060346A2 (en) * 2007-11-06 2009-05-14 Koninklijke Philips Electronics N.V. System for quantification of neovasculature in ct volumes
US9047539B2 (en) * 2008-05-21 2015-06-02 Koninklijke Philips N.V. Medical workflow systems and methods with process workflow recordation
CN101334895B (zh) * 2008-08-07 2011-09-14 清华大学 一种针对动态增强乳腺磁共振影像序列的影像分割方法
US8064674B2 (en) * 2008-11-03 2011-11-22 Siemens Aktiengesellschaft Robust classification of fat and water images from 1-point-Dixon reconstructions
JP5619448B2 (ja) 2009-08-20 2014-11-05 株式会社東芝 磁気共鳴イメージング装置
US20110188720A1 (en) * 2010-02-02 2011-08-04 General Electric Company Method and system for automated volume of interest segmentation
US8731261B2 (en) * 2010-02-23 2014-05-20 Loma Linda University Method of analyzing a medical image
EP2628017A1 (en) * 2010-10-13 2013-08-21 Koninklijke Philips Electronics N.V. Mri phantom with a plurality of compartments for t1 calibration
EP2646978A1 (en) * 2010-12-01 2013-10-09 BrainLAB AG Longitudinal monitoring of pathology
US20130046168A1 (en) * 2011-08-17 2013-02-21 Lei Sui Method and system of characterization of carotid plaque
US20130090946A1 (en) 2011-10-05 2013-04-11 Thomas Kwok-Fah Foo Systems and methods for imaging workflow
JP6214563B2 (ja) * 2012-01-27 2017-10-18 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 定量的ｔ１マッピングを用いた、リスクに晒されたエリアの自動化された検出
BR112015000875A2 (pt) * 2012-07-16 2017-06-27 Koninklijke Philips Nv meio de armazenamento não temporário que armazena instruções executáveis por um dispositivo de processamento de dados eletrônicos para realizar um método, e método
WO2015109254A2 (en) * 2014-01-17 2015-07-23 Morpheus Medical, Inc. Apparatus, methods and articles for four dimensional (4d) flow magnetic resonance imaging
WO2015144540A1 (en) * 2014-03-28 2015-10-01 Koninklijke Philips N.V. Method and device for generating one or more computer tomography images based on magnetic resonance images with the help of tissue class separation
EP2930636A1 (en) 2014-04-08 2015-10-14 Camelot Biomedical System srl Method and system for the management of post-acquisition processing procedures related to biomedical images
KR101927968B1 (ko) * 2014-11-14 2018-12-11 삼성전자주식회사 메타 데이터에 기초하여 영상을 디스플레이하는 방법 및 디바이스, 그에 따른 기록매체

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