JP2022546344A5 - - Google Patents

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Publication number
JP2022546344A5
JP2022546344A5 JP2022512386A JP2022512386A JP2022546344A5 JP 2022546344 A5 JP2022546344 A5 JP 2022546344A5 JP 2022512386 A JP2022512386 A JP 2022512386A JP 2022512386 A JP2022512386 A JP 2022512386A JP 2022546344 A5 JP2022546344 A5 JP 2022546344A5
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Japan
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image data
region
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brain
dimensional image
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JP2022512386A
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JP2022546344A (ja
JP7638269B2 (ja
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Priority claimed from EP19194438.8A external-priority patent/EP3786881A1/en
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JP2022512386A 2019-08-29 2020-08-24 脳卒中特徴取得のための画像処理 Active JP7638269B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP19194438.8A EP3786881A1 (en) 2019-08-29 2019-08-29 Image processing for stroke characterization
EP19194438.8 2019-08-29
PCT/EP2020/073614 WO2021037790A1 (en) 2019-08-29 2020-08-24 Image processing for stroke characterization

Publications (3)

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JP2022546344A JP2022546344A (ja) 2022-11-04
JP2022546344A5 true JP2022546344A5 (enExample) 2024-06-21
JP7638269B2 JP7638269B2 (ja) 2025-03-03

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JP2022512386A Active JP7638269B2 (ja) 2019-08-29 2020-08-24 脳卒中特徴取得のための画像処理

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US (1) US12315159B2 (enExample)
EP (2) EP3786881A1 (enExample)
JP (1) JP7638269B2 (enExample)
CN (1) CN114450716B (enExample)
WO (1) WO2021037790A1 (enExample)

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Publication number Priority date Publication date Assignee Title
EP3786881A1 (en) * 2019-08-29 2021-03-03 Koninklijke Philips N.V. Image processing for stroke characterization
US12354256B2 (en) * 2020-10-19 2025-07-08 Northwestern University Brain feature prediction using geometric deep learning on graph representations of medical image data
KR102283673B1 (ko) * 2020-11-30 2021-08-03 주식회사 코어라인소프트 병변 추적 검사에 기반하여 진단 보조 정보의 임계치를 조정하는 의료 영상 판독 지원 장치 및 방법
CN115100217B (zh) * 2022-05-07 2025-01-17 清华大学 头颈部ct影像中脑部区域的提取方法、装置、设备及介质
KR102901477B1 (ko) * 2022-09-20 2025-12-19 전남대학교 산학협력단 급성 허혈성 뇌졸중 이후 주요 심뇌혈관사건 위험도 예측 방법 및 프로그램
CN115661293B (zh) * 2022-10-27 2023-09-19 东莘电磁科技(成都)有限公司 一种电磁散射中目标瞬态感应特征图像生成方法

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5570404A (en) 1994-09-30 1996-10-29 Siemens Corporate Research Method and apparatus for editing abdominal CT angiographic images for blood vessel visualization
JP2000237176A (ja) 1999-02-17 2000-09-05 Fuji Photo Film Co Ltd 放射線画像表示方法および装置
DE102004057308A1 (de) 2004-11-26 2006-07-13 Siemens Ag Angiographische Röntgendiagnostikeinrichtung zur Rotationsangiographie
JP5010859B2 (ja) 2005-12-21 2012-08-29 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー 画像生成装置
WO2008155718A2 (en) 2007-06-20 2008-12-24 Koninklijke Philips Electronics N.V. Detecting haemorrhagic stroke in ct image data
JP5117792B2 (ja) 2007-08-27 2013-01-16 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー 記憶媒体及びx線ctシステム
WO2009077910A1 (en) * 2007-12-14 2009-06-25 Koninklijke Philips Electronics N.V. Image analysis of brain image data
CN101756712A (zh) * 2008-11-19 2010-06-30 李祥 Ct图像颅内血肿体积测量方法的研究
JP2011019768A (ja) 2009-07-16 2011-02-03 Kyushu Institute Of Technology 画像処理装置、画像処理方法、及び画像処理プログラム
WO2011019768A2 (en) 2009-08-11 2011-02-17 Draggone Aerodynamics, Inc. Device for improving a tractor-trailer combination truck aerodynamics at the rear of the trailer
CN101916443B (zh) * 2010-08-19 2012-10-17 中国科学院深圳先进技术研究院 Ct图像的处理方法及系统
US20130303900A1 (en) * 2011-02-01 2013-11-14 Wieslaw Lucjan Nowinski Method and apparatus for processing of stroke ct scans
US10290076B2 (en) * 2011-03-03 2019-05-14 The United States Of America, As Represented By The Secretary, Department Of Health And Human Services System and method for automated initialization and registration of navigation system
US10039513B2 (en) * 2014-07-21 2018-08-07 Zebra Medical Vision Ltd. Systems and methods for emulating DEXA scores based on CT images
US10169863B2 (en) * 2015-06-12 2019-01-01 International Business Machines Corporation Methods and systems for automatically determining a clinical image or portion thereof for display to a diagnosing physician
CN105476653A (zh) * 2015-12-08 2016-04-13 刘丽 Spect骨显像的定量分析技术及在骨评估中的用途
JP7110098B2 (ja) 2015-12-18 2022-08-01 ザ リージェンツ オブ ザ ユニバーシティ オブ カリフォルニア 頭部コンピュータ断層撮影における緊急性の特徴の解釈及び定量化
JP6525912B2 (ja) 2016-03-23 2019-06-05 富士フイルム株式会社 画像分類装置、方法およびプログラム
US11373750B2 (en) * 2017-09-08 2022-06-28 The General Hospital Corporation Systems and methods for brain hemorrhage classification in medical images using an artificial intelligence network
US10949951B2 (en) * 2018-08-23 2021-03-16 General Electric Company Patient-specific deep learning image denoising methods and systems
CN109674490B (zh) * 2019-01-17 2021-09-10 南京大学深圳研究院 一种超声引导的低反射伪像光声显微镜成像方法
EP3786881A1 (en) * 2019-08-29 2021-03-03 Koninklijke Philips N.V. Image processing for stroke characterization

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