JP2018530401A5 - - Google Patents
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- JP2018530401A5 JP2018530401A5 JP2018519442A JP2018519442A JP2018530401A5 JP 2018530401 A5 JP2018530401 A5 JP 2018530401A5 JP 2018519442 A JP2018519442 A JP 2018519442A JP 2018519442 A JP2018519442 A JP 2018519442A JP 2018530401 A5 JP2018530401 A5 JP 2018530401A5
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- 238000002591 computed tomography Methods 0.000 claims description 59
- 238000000034 method Methods 0.000 claims description 21
- 238000010801 machine learning Methods 0.000 claims 17
- 238000012935 Averaging Methods 0.000 claims 1
- 230000011218 segmentation Effects 0.000 claims 1
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US14/881,903 US10307108B2 (en) | 2015-10-13 | 2015-10-13 | Pseudo-CT generation from MR data using a feature regression model |
| US14/881,903 | 2015-10-13 | ||
| PCT/US2016/056538 WO2017066247A1 (en) | 2015-10-13 | 2016-10-12 | Pseudo-ct generation from mr data using a feature regression model |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2018530401A JP2018530401A (ja) | 2018-10-18 |
| JP2018530401A5 true JP2018530401A5 (enExample) | 2019-06-27 |
| JP6567179B2 JP6567179B2 (ja) | 2019-08-28 |
Family
ID=57227090
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2018519442A Active JP6567179B2 (ja) | 2015-10-13 | 2016-10-12 | 特徴回帰モデルを用いたｍｒデータからの疑似ｃｔ生成 |
Country Status (7)
| Country | Link |
|---|---|
| US (3) | US10307108B2 (enExample) |
| EP (2) | EP3362984B1 (enExample) |
| JP (1) | JP6567179B2 (enExample) |
| CN (1) | CN108770373B (enExample) |
| AU (1) | AU2016338923B2 (enExample) |
| RU (1) | RU2703344C1 (enExample) |
| WO (1) | WO2017066247A1 (enExample) |
Families Citing this family (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10102451B2 (en) * | 2015-10-13 | 2018-10-16 | Elekta, Inc. | Pseudo-CT generation from MR data using tissue parameter estimation |
| US10307108B2 (en) | 2015-10-13 | 2019-06-04 | Elekta, Inc. | Pseudo-CT generation from MR data using a feature regression model |
| US10792515B2 (en) * | 2015-12-18 | 2020-10-06 | Koninklijke Philips N.V. | Method for determining a patient specific locally varying margin |
| WO2017141317A1 (ja) * | 2016-02-15 | 2017-08-24 | 三菱電機株式会社 | 音響信号強調装置 |
| US10794977B2 (en) * | 2016-06-23 | 2020-10-06 | Siemens Healthcare Gmbh | System and method for normalized reference database for MR images via autoencoders |
| RU2698997C1 (ru) * | 2016-09-06 | 2019-09-02 | Электа, Инк. | Нейронная сеть для генерации синтетических медицинских изображений |
| US11478212B2 (en) * | 2017-02-16 | 2022-10-25 | Siemens Healthcare Gmbh | Method for controlling scanner by estimating patient internal anatomical structures from surface data using body-surface and organ-surface latent variables |
| EP3631808B1 (en) * | 2017-05-31 | 2024-09-11 | Koninklijke Philips N.V. | Machine learning on raw medical imaging data for clinical decision support |
| US11276208B2 (en) * | 2017-06-12 | 2022-03-15 | The Research Foundation For The State University Of New York | System, method and computer-accessible medium for ultralow dose computed tomography image reconstruction |
| US10753997B2 (en) * | 2017-08-10 | 2020-08-25 | Siemens Healthcare Gmbh | Image standardization using generative adversarial networks |
| CN108416846A (zh) * | 2018-03-16 | 2018-08-17 | 北京邮电大学 | 一种无标识三维注册算法 |
| EP3543911A1 (en) * | 2018-03-22 | 2019-09-25 | Koninklijke Philips N.V. | Anomaly detection using magnetic resonance fingerprinting |
| EP3583982A1 (en) * | 2018-06-18 | 2019-12-25 | Koninklijke Philips N.V. | Therapy planning device |
| EP3617733A1 (en) * | 2018-08-30 | 2020-03-04 | Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. | Method and apparatus for processing magnetic resonance data using machine learning |
| EP3633622A1 (en) * | 2018-10-02 | 2020-04-08 | Koninklijke Philips N.V. | Generation of pseudo radiographic images from optical images |
| CN109710793B (zh) * | 2018-12-25 | 2021-08-17 | 科大讯飞股份有限公司 | 一种哈希参数确定方法、装置、设备及存储介质 |
| CN109785405A (zh) * | 2019-01-29 | 2019-05-21 | 子威·林 | 利用多组磁共振图像的多变量回归生成准ct图像的方法 |
| US10467504B1 (en) * | 2019-02-08 | 2019-11-05 | Adhark, Inc. | Systems, methods, and storage media for evaluating digital images |
| US11531840B2 (en) | 2019-02-08 | 2022-12-20 | Vizit Labs, Inc. | Systems, methods, and storage media for training a model for image evaluation |
| CN109918519A (zh) * | 2019-02-26 | 2019-06-21 | 重庆善功科技有限公司 | 一种面向海量延时摄影胚胎图像存储与查询的方法及系统 |
| 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 |
| CN109893784A (zh) * | 2019-04-19 | 2019-06-18 | 深圳先进技术研究院 | 一种实现超声穿颅聚焦的方法以及电子设备 |
| WO2020218967A1 (en) * | 2019-04-26 | 2020-10-29 | Spectronic Ab | Generating synthetic electron density images from magnetic resonance images |
| CN110084318B (zh) * | 2019-05-07 | 2020-10-02 | 哈尔滨理工大学 | 一种结合卷积神经网络和梯度提升树的图像识别方法 |
| CN110270015B (zh) * | 2019-05-08 | 2021-03-09 | 中国科学技术大学 | 一种基于多序列MRI的sCT生成方法 |
| JP7451293B2 (ja) * | 2019-06-13 | 2024-03-18 | キヤノンメディカルシステムズ株式会社 | 放射線治療システム |
| US11024034B2 (en) * | 2019-07-02 | 2021-06-01 | Acist Medical Systems, Inc. | Image segmentation confidence determination |
| GB2586791B (en) * | 2019-08-30 | 2022-11-16 | Elekta ltd | Pseudo-CT image generation |
| EP3828579A1 (en) * | 2019-11-28 | 2021-06-02 | Koninklijke Philips N.V. | Adaptive reconstruction of magnetic resonance images |
| US11562482B2 (en) * | 2020-03-30 | 2023-01-24 | Varian Medical Systems International Ag | Systems and methods for pseudo image data augmentation for training machine learning models |
| US12008695B2 (en) * | 2020-09-25 | 2024-06-11 | GE Precision Healthcare LLC | Methods and systems for translating magnetic resonance images to pseudo computed tomography images |
| CN112435554B (zh) * | 2020-11-25 | 2022-04-12 | 皖南医学院 | 一种ct教学模拟系统及其控制方法 |
| CN112509022A (zh) * | 2020-12-17 | 2021-03-16 | 安徽埃克索医疗机器人有限公司 | 一种术前三维影像与术中透视图像的无标定物配准方法 |
| CN114692665B (zh) * | 2020-12-25 | 2024-05-24 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | 基于度量学习的辐射源开集个体识别方法 |
| US11966454B2 (en) * | 2021-10-28 | 2024-04-23 | Shanghai United Imaging Intelligence Co., Ltd. | Self-contrastive learning for image processing |
| CN114190889A (zh) * | 2021-11-19 | 2022-03-18 | 上海联影智能医疗科技有限公司 | 心电信号的分类方法、系统、电子设备及可读存储介质 |
| CN114638745B (zh) * | 2022-03-16 | 2023-08-18 | 江南大学 | 一种基于多借鉴信息的医学影像智能转换方法 |
| US20250345638A1 (en) * | 2022-05-01 | 2025-11-13 | The General Hospital Corporation | System for and method of planning and real-time navigation for transcranial focused ultrasound stimulation |
| US20240296527A1 (en) * | 2023-03-02 | 2024-09-05 | GE Precision Healthcare LLC | Reducing noise in ct images using synthetic data |
| CN120125505B (zh) * | 2025-01-27 | 2025-09-16 | 中国人民解放军总医院第四医学中心 | 一种基于roi-hu数据库构建骨骼预测模型的方法和应用 |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1271570C (zh) * | 2004-06-17 | 2006-08-23 | 上海交通大学 | 核磁共振多谱图像分割方法 |
| CN101061490A (zh) * | 2004-11-19 | 2007-10-24 | 皇家飞利浦电子股份有限公司 | 利用支持向量机（svm）在计算机辅助检测（cad）中进行假阳性降低的系统和方法 |
| EP2053972B1 (en) * | 2006-08-17 | 2013-09-11 | Koninklijke Philips Electronics N.V. | Computed tomography image acquisition |
| US8068654B2 (en) * | 2007-02-02 | 2011-11-29 | Siemens Akteingesellschaft | Method and system for detection and registration of 3D objects using incremental parameter learning |
| CN101959454B (zh) * | 2008-03-07 | 2013-11-20 | 皇家飞利浦电子股份有限公司 | 通过磁共振图像的自动分割进行ct替代 |
| US9123095B2 (en) * | 2008-09-29 | 2015-09-01 | Koninklijke Philips N.V. | Method for increasing the robustness of computer-aided diagnosis to image processing uncertainties |
| DE102008058488B4 (de) * | 2008-11-21 | 2018-09-20 | Siemens Healthcare Gmbh | Verfahren und Vorrichtung zur Aufbereitung von kombinierten MR-Emissionstomographieaufnahmen |
| WO2011015957A1 (en) * | 2009-08-06 | 2011-02-10 | Koninklijke Philips Electronics N.V. | Method and apparatus for generating computed tomography images with offset detector geometries |
| US8774482B2 (en) | 2010-05-20 | 2014-07-08 | Siemens Aktiengesellschaft | Generating pseudo-CT image volumes from ultra-short echo time MR |
| US8706668B2 (en) * | 2010-06-02 | 2014-04-22 | Nec Laboratories America, Inc. | Feature set embedding for incomplete data |
| WO2013049818A1 (en) * | 2011-09-30 | 2013-04-04 | Cincinnati Children's Hospital Medical Center | Method for consistent and verifiable optimization of computed tomography (ct) radiation dose |
| US9256965B2 (en) | 2013-01-30 | 2016-02-09 | Impac Medical Systems, Inc. | Method and apparatus for generating a derived image using images of different types |
| JP5966112B1 (ja) * | 2013-04-02 | 2016-08-10 | コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． | 磁気共鳴画像法を使用した骨組織の検出 |
| US9235781B2 (en) * | 2013-08-09 | 2016-01-12 | Kabushiki Kaisha Toshiba | Method of, and apparatus for, landmark location |
| US10307108B2 (en) | 2015-10-13 | 2019-06-04 | Elekta, Inc. | Pseudo-CT generation from MR data using a feature regression model |
| EP4212057B1 (en) | 2016-10-26 | 2025-08-13 | Nike Innovate C.V. | Deformable lace guides for automated footwear platform |
| KR102187717B1 (ko) | 2017-03-15 | 2020-12-07 | 나이키 이노베이트 씨.브이. | 케이블 및 갑피 텐셔너를 구비하는 자동화된 신발 |
-
2015
- 2015-10-13 US US14/881,903 patent/US10307108B2/en active Active
-
2016
- 2016-10-12 EP EP16790780.7A patent/EP3362984B1/en active Active
- 2016-10-12 AU AU2016338923A patent/AU2016338923B2/en active Active
- 2016-10-12 WO PCT/US2016/056538 patent/WO2017066247A1/en not_active Ceased
- 2016-10-12 RU RU2018117510A patent/RU2703344C1/ru active
- 2016-10-12 EP EP21191291.0A patent/EP3940624B1/en active Active
- 2016-10-12 CN CN201680072831.7A patent/CN108770373B/zh active Active
- 2016-10-12 JP JP2018519442A patent/JP6567179B2/ja active Active
-
2019
- 2019-03-15 US US16/354,495 patent/US11234654B2/en active Active
-
2021
- 2021-11-24 US US17/456,513 patent/US11944463B2/en active Active
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