JP6378778B2 - 組織種類分離の助けを借りて磁気共鳴画像に基づき1つ以上のコンピュータ断層撮影画像を生成する方法及び装置 - Google Patents
組織種類分離の助けを借りて磁気共鳴画像に基づき1つ以上のコンピュータ断層撮影画像を生成する方法及び装置 Download PDFInfo
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
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| EP14162319.9 | 2014-03-28 | ||
| EP14162319 | 2014-03-28 | ||
| PCT/EP2015/055738 WO2015144540A1 (en) | 2014-03-28 | 2015-03-19 | Method and device for generating one or more computer tomography images based on magnetic resonance images with the help of tissue class separation |
Publications (3)
| Publication Number | Publication Date |
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| JP2017508561A JP2017508561A (ja) | 2017-03-30 |
| JP2017508561A5 JP2017508561A5 (https=) | 2018-03-01 |
| JP6378778B2 true JP6378778B2 (ja) | 2018-08-22 |
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| JP2016559279A Active JP6378778B2 (ja) | 2014-03-28 | 2015-03-19 | 組織種類分離の助けを借りて磁気共鳴画像に基づき1つ以上のコンピュータ断層撮影画像を生成する方法及び装置 |
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| EP (1) | EP3123443B1 (https=) |
| JP (1) | JP6378778B2 (https=) |
| CN (1) | CN106133790B (https=) |
| WO (1) | WO2015144540A1 (https=) |
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| RU2721932C2 (ru) | 2015-03-20 | 2020-05-25 | Конинклейке Филипс Н.В. | Альтернативное решение для неопределенных областей в изображениях mrcat |
| US10102451B2 (en) | 2015-10-13 | 2018-10-16 | Elekta, Inc. | Pseudo-CT generation from MR data using tissue parameter estimation |
| CN106474634A (zh) * | 2015-11-17 | 2017-03-08 | 南京中硼联康医疗科技有限公司 | 基于医学影像数据的几何模型建立方法 |
| JP6748207B2 (ja) * | 2015-12-18 | 2020-08-26 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | 患者特有の局所的に変化するマージンを決定する方法 |
| CN108778418B (zh) * | 2016-03-10 | 2021-01-29 | 皇家飞利浦有限公司 | 合成计算机断层摄影成像 |
| WO2018048507A1 (en) | 2016-09-06 | 2018-03-15 | Han Xiao | Neural network for generating synthetic medical images |
| CN108310677B (zh) * | 2017-01-11 | 2020-02-28 | 南京中硼联康医疗科技有限公司 | 基于医学影像数据的平滑几何模型建立方法 |
| US11000255B2 (en) * | 2017-02-24 | 2021-05-11 | Bayer Healthcare Llc | Systems and methods for generating simulated computed tomography (CT) images |
| EP3379281A1 (en) * | 2017-03-20 | 2018-09-26 | Koninklijke Philips N.V. | Image segmentation using reference gray scale values |
| CN107133996B (zh) * | 2017-03-21 | 2020-08-04 | 上海联影医疗科技有限公司 | 产生用于pet数据重建的衰减图的方法及pet/ct系统 |
| EP3431007B1 (en) * | 2017-07-21 | 2020-06-17 | Koninklijke Philips N.V. | Creation of electron density datasets from spectral ct datasets |
| CN109420259A (zh) | 2017-08-24 | 2019-03-05 | 上海联影医疗科技有限公司 | 治疗系统和使用治疗系统的方法 |
| US11883685B2 (en) | 2017-08-24 | 2024-01-30 | Shanghai United Imaging Healthcare Co., Ltd. | Therapeutic system and method |
| EP3723030A4 (en) * | 2017-12-05 | 2021-06-16 | DSI Corporation | AUTOMATIC TECHNICAL COST CALCULATION SYSTEM, AUTOMATIC TECHNICAL COST CALCULATION PROCESS AND PROGRAM |
| EP3521849A1 (en) * | 2018-02-02 | 2019-08-07 | Koninklijke Philips N.V. | Mri with fat/water separation |
| CN109215014B (zh) * | 2018-07-02 | 2022-03-04 | 中国科学院深圳先进技术研究院 | Ct图像预测模型的训练方法、装置、设备及存储介质 |
| CN109389603B (zh) * | 2018-09-10 | 2021-09-24 | 北京大学 | 一种基于预加重策略的全自动腰椎图像分割方法 |
| JP7129869B2 (ja) * | 2018-10-01 | 2022-09-02 | 富士フイルム株式会社 | 疾患領域抽出装置、方法及びプログラム |
| US11497566B2 (en) * | 2018-10-26 | 2022-11-15 | Biosense Webster (Israel) Ltd. | Loose mode for robot |
| EP3654278A1 (en) * | 2018-11-19 | 2020-05-20 | Koninklijke Philips N.V. | Characterizing lesions in radiology images |
| CN109978965B (zh) * | 2019-03-21 | 2025-09-30 | 江南大学 | 一种模拟ct图像生成方法、装置、计算机设备和存储介质 |
| EP3751524A1 (en) * | 2019-06-13 | 2020-12-16 | RaySearch Laboratories AB | Method, computer program product and computer system for providing an approximate image |
| CN112535488A (zh) * | 2019-09-23 | 2021-03-23 | 佳能医疗系统株式会社 | 解析装置 |
| JP6738003B1 (ja) * | 2019-10-30 | 2020-08-12 | 日本テクトシステムズ株式会社 | Mri画像に基づく解剖学的部位の抽出装置,方法,プログラム |
| WO2021206157A1 (ja) * | 2020-04-08 | 2021-10-14 | キヤノンメディカルシステムズ株式会社 | 医用情報処理装置及び医用情報処理方法 |
| JP7563925B2 (ja) * | 2020-04-08 | 2024-10-08 | キヤノンメディカルシステムズ株式会社 | 医用情報処理装置及び医用情報処理方法 |
| CN113706541B (zh) * | 2020-05-20 | 2024-04-19 | 青岛海信医疗设备股份有限公司 | 一种图像处理方法及装置 |
| US12602773B2 (en) * | 2020-08-07 | 2026-04-14 | Washington University | Deep-learning-based T1-enhanced selection of linear coefficients (DL-TESLA) for PET/MR attenuation correction |
| US12347100B2 (en) | 2020-11-19 | 2025-07-01 | Mazor Robotics Ltd. | Systems and methods for generating virtual images |
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| EP2229981A1 (en) | 2009-03-17 | 2010-09-22 | Paul Scherrer Institut | A method for evaluating radiation model data in particle beam radiation applications |
| JP5364009B2 (ja) * | 2010-02-12 | 2013-12-11 | 富士フイルム株式会社 | 画像生成装置、画像生成方法、及びそのプログラム |
| US8588498B2 (en) | 2011-09-30 | 2013-11-19 | General Electric Company | System and method for segmenting bones on MR images |
| JP5706389B2 (ja) | 2011-12-20 | 2015-04-22 | 富士フイルム株式会社 | 画像処理装置および画像処理方法、並びに、画像処理プログラム |
| US9342903B2 (en) | 2012-03-28 | 2016-05-17 | National Institute Of Radiological Services | Method for generating image for PET attenuation correction from MR image and computer program |
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- 2015-03-19 JP JP2016559279A patent/JP6378778B2/ja active Active
- 2015-03-19 EP EP15710518.0A patent/EP3123443B1/en active Active
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| WO2015144540A1 (en) | 2015-10-01 |
| CN106133790B (zh) | 2020-09-29 |
| US10223794B2 (en) | 2019-03-05 |
| EP3123443A1 (en) | 2017-02-01 |
| CN106133790A (zh) | 2016-11-16 |
| US20180174298A1 (en) | 2018-06-21 |
| JP2017508561A (ja) | 2017-03-30 |
| EP3123443B1 (en) | 2018-06-13 |
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