JP7030050B2 - 組織パラメータ推定を用いたmrデータからの疑似ct生成 - Google Patents

組織パラメータ推定を用いたmrデータからの疑似ct生成 Download PDF

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JP7030050B2
JP7030050B2 JP2018519467A JP2018519467A JP7030050B2 JP 7030050 B2 JP7030050 B2 JP 7030050B2 JP 2018519467 A JP2018519467 A JP 2018519467A JP 2018519467 A JP2018519467 A JP 2018519467A JP 7030050 B2 JP7030050 B2 JP 7030050B2
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シャオ ハン
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    • A61N5/00Radiation therapy
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
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    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
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    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computed tomography [CT]
    • A61B6/032Transmission computed tomography [CT]
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    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T2207/00Indexing scheme for image analysis or image enhancement
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JP2018519467A 2015-10-13 2016-10-12 組織パラメータ推定を用いたmrデータからの疑似ct生成 Active JP7030050B2 (ja)

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US14/881,939 2015-10-13
US14/881,939 US10102451B2 (en) 2015-10-13 2015-10-13 Pseudo-CT generation from MR data using tissue parameter estimation
PCT/US2016/056635 WO2017066317A1 (en) 2015-10-13 2016-10-12 Pseudo-ct generation from mr data using tissue parameter estimation

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Families Citing this family (45)

* Cited by examiner, † Cited by third party
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
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
WO2018085788A1 (en) * 2016-11-04 2018-05-11 The University Of North Carolina At Chapel Hill Office Of Commercialization And Economic Development Methods, systems, and computer readable media for smart image protocoling
EP3441003B1 (en) 2017-08-08 2020-07-22 Siemens Healthcare GmbH Method for performing digital subtraction angiography, hybrid imaging device, computer program and electronically readable storage medium
TWI637187B (zh) * 2017-09-19 2018-10-01 臺北榮民總醫院 磁共振影像的分析方法及評估放射治療風險的方法
US10803984B2 (en) 2017-10-06 2020-10-13 Canon Medical Systems Corporation Medical image processing apparatus and medical image processing system
US11517197B2 (en) * 2017-10-06 2022-12-06 Canon Medical Systems Corporation Apparatus and method for medical image reconstruction using deep learning for computed tomography (CT) image noise and artifacts reduction
JP6810675B2 (ja) * 2017-11-16 2021-01-06 東京エレクトロンデバイス株式会社 情報処理装置及びプログラム
US10878529B2 (en) * 2017-12-22 2020-12-29 Canon Medical Systems Corporation Registration method and apparatus
US11410086B2 (en) * 2018-02-22 2022-08-09 General Electric Company System and method for class specific deep learning
EP3543911A1 (en) * 2018-03-22 2019-09-25 Koninklijke Philips N.V. Anomaly detection using magnetic resonance fingerprinting
US10453224B1 (en) * 2018-03-27 2019-10-22 Ziwei Lin Pseudo-CT generation with multi-variable regression of multiple MRI scans
US10657410B2 (en) * 2018-04-13 2020-05-19 Siemens Healthcare Gmbh Method and system for abnormal tissue detection using z-scores in a joint histogram
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
US10594027B1 (en) * 2018-08-31 2020-03-17 Hughes Networks Systems, Llc Machine learning models for detecting the causes of conditions of a satellite communication system
US11978557B2 (en) * 2018-09-12 2024-05-07 Splink, Inc. Diagnosis support system and method
WO2020082207A1 (en) * 2018-10-22 2020-04-30 Shanghai United Imaging Healthcare Co., Ltd. Systems and methods for attenuation correction
CN109697741B (zh) * 2018-12-28 2023-06-16 上海联影智能医疗科技有限公司 一种pet图像重建方法、装置、设备及介质
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
JP7467145B2 (ja) * 2019-02-08 2024-04-15 キヤノンメディカルシステムズ株式会社 放射線治療計画装置
JP7195961B2 (ja) * 2019-02-08 2022-12-26 キヤノンメディカルシステムズ株式会社 医用処理装置、x線ctシステム及び処理プログラム
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
WO2020218967A1 (en) 2019-04-26 2020-10-29 Spectronic Ab Generating synthetic electron density images from magnetic resonance images
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
EP3751579A1 (en) 2019-06-13 2020-12-16 RaySearch Laboratories AB System and method for training a machine learning model and for providing an estimated interior image of a patient
US11531080B2 (en) * 2019-07-24 2022-12-20 Cypress Semiconductor Corporation Leveraging spectral diversity for machine learning-based estimation of radio frequency signal parameters
JP7170897B2 (ja) 2019-09-30 2022-11-14 富士フイルム株式会社 学習装置、方法およびプログラム、画像生成装置、方法およびプログラム、並びに画像生成モデル
US11282218B2 (en) * 2019-11-25 2022-03-22 Shanghai United Imaging Intelligence Co., Ltd. Systems and methods for providing medical guidance using a patient depth image
US11838531B2 (en) * 2019-12-06 2023-12-05 Dolby Laboratories Licensing Corporation Cascade prediction
US11348243B2 (en) 2020-01-24 2022-05-31 GE Precision Healthcare LLC Systems and methods for medical image style transfer using deep neural networks
EP3882648B1 (en) 2020-03-18 2024-09-25 Siemens Healthineers AG Rf coil device for an mr or mr-pet imaging modality and method to determine the position and/or orientation and/or shape of such an rf coil device
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
US11554496B2 (en) * 2020-04-03 2023-01-17 Fanuc Corporation Feature detection by deep learning and vector field estimation
JP6989860B2 (ja) * 2020-05-02 2022-01-12 Arithmer株式会社 画像検査装置、画像検査方法及びプログラム
WO2021225640A1 (en) * 2020-05-06 2021-11-11 Siemens Medical Solutions Usa, Inc. Systems and methods for low field mr/pet imaging
CN111626972B (zh) * 2020-06-02 2023-06-02 上海鹰瞳医疗科技有限公司 Ct图像重构方法、模型训练方法及设备
JP7487096B2 (ja) * 2020-12-24 2024-05-20 パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ 制御システム及び制御方法
EP4030179A1 (en) * 2021-01-19 2022-07-20 Koninklijke Philips N.V. Method of predicting a field perturbation map for magnetic resonance imaging
KR102746259B1 (ko) * 2021-03-11 2024-12-27 한국과학기술연구원 인공지능 기반 mri-ct 영상 변환 방법 및 이를 이용한 초음파 치료 장치
CN113255756B (zh) * 2021-05-20 2024-05-24 联仁健康医疗大数据科技股份有限公司 图像融合方法、装置、电子设备及存储介质
CN114882996B (zh) * 2022-03-17 2023-04-07 深圳大学 基于多任务学习的肝细胞癌ck19及mvi预测方法
US20230377721A1 (en) * 2022-05-19 2023-11-23 Elekta Ltd. Jointly trained machine learning models for automatic contouring in radiotherapy applications
US12107742B2 (en) 2022-08-31 2024-10-01 Hughes Network Systems, Llc Machine learning to enhance satellite terminal performance
CN118154587A (zh) * 2024-05-09 2024-06-07 四川省肿瘤医院 一种MRI-only放疗的质量控制方法
CN118864288B (zh) * 2024-09-25 2025-01-28 江西省肿瘤医院(江西省第二人民医院、江西省癌症中心) 无监督伪ct对抗扩散模型构建方法、系统、介质及设备

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110286649A1 (en) 2010-05-20 2011-11-24 Siemens Corporation Generating pseudo-ct image volumes from ultra-short echo time mr
WO2013144799A1 (en) 2012-03-29 2013-10-03 Koninklijke Philips N.V. Mri method for assigning individual pixels or voxels tissue - specific pet attenuation values
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
WO2015150065A1 (en) 2014-04-01 2015-10-08 Koninklijke Philips N.V. A method estimating a pseudo hounsfield unit value

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8787648B2 (en) * 2008-03-07 2014-07-22 Koninklijke Philips N.V. CT surrogate by auto-segmentation of magnetic resonance images
US8218848B2 (en) * 2008-07-23 2012-07-10 Siemens Aktiengesellschaft System and method for the generation of attenuation correction maps from MR images
US9135695B2 (en) * 2012-04-04 2015-09-15 Siemens Aktiengesellschaft Method for creating attenuation correction maps for PET image reconstruction
US9392958B2 (en) * 2012-05-30 2016-07-19 Siemens Aktiengesellschaft Method of attenuation correction of positron emission tomography data and combined positron emission tomography and magnetic resonance tomography system
FR2994481B1 (fr) * 2012-08-07 2014-08-29 Snecma Procede de caracterisation d'un objet en materiau composite
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
EP2991546B1 (en) 2013-04-02 2016-11-30 Koninklijke Philips N.V. Detection of bone tissue using magnetic resonance imaging
WO2015081079A1 (en) 2013-11-26 2015-06-04 Henry Ford Innovation Institute Software for using magnetic resonance images to generate a synthetic computed tomography image
US10029121B2 (en) 2013-12-31 2018-07-24 The Medical College Of Wisconsin, Inc. System and method for producing synthetic images
US10307108B2 (en) * 2015-10-13 2019-06-04 Elekta, Inc. Pseudo-CT generation from MR data using a feature regression model
US10102451B2 (en) * 2015-10-13 2018-10-16 Elekta, Inc. Pseudo-CT generation from MR data using tissue parameter estimation

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110286649A1 (en) 2010-05-20 2011-11-24 Siemens Corporation Generating pseudo-ct image volumes from ultra-short echo time mr
WO2013144799A1 (en) 2012-03-29 2013-10-03 Koninklijke Philips N.V. Mri method for assigning individual pixels or voxels tissue - specific pet attenuation values
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
WO2015150065A1 (en) 2014-04-01 2015-10-08 Koninklijke Philips N.V. A method estimating a pseudo hounsfield unit value

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Adam Johansson et al.,"CT substitute derived from MRI sequences with ultrashort echo time",2011,Medical Physics,Vol.38,No.5,p.2708-2714
Matthias Hofmann et al.,"MRI-Based Attenuation Correction for PET/MRI:A Novel Approach Combining Pattern Recognition and Atlas Registration",The Journal of Nuclear Medicine,2008,Vol.49,No.11,p.1875-1883

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AU2016339009A1 (en) 2018-04-26
WO2017066317A1 (en) 2017-04-20
RU2018117507A (ru) 2019-11-14
US20170103287A1 (en) 2017-04-13
CN108778416B (zh) 2020-06-19
CN108778416A (zh) 2018-11-09
JP2021049424A (ja) 2021-04-01
JP2018535732A (ja) 2018-12-06
US10102451B2 (en) 2018-10-16
EP3362146A1 (en) 2018-08-22
AU2016339009B2 (en) 2020-02-06
US20190042885A1 (en) 2019-02-07
EP3362146B1 (en) 2020-03-25

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