CN108778416B - 使用组织参数估计根据mr数据的伪ct生成的系统、方法和介质 - Google Patents

使用组织参数估计根据mr数据的伪ct生成的系统、方法和介质 Download PDF

Info

Publication number
CN108778416B
CN108778416B CN201680072849.7A CN201680072849A CN108778416B CN 108778416 B CN108778416 B CN 108778416B CN 201680072849 A CN201680072849 A CN 201680072849A CN 108778416 B CN108778416 B CN 108778416B
Authority
CN
China
Prior art keywords
image
images
pseudo
training
tissue parameter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201680072849.7A
Other languages
English (en)
Chinese (zh)
Other versions
CN108778416A (zh
Inventor
韩晓
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Elekta Ltd
Original Assignee
Elekta Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Elekta Ltd filed Critical Elekta Ltd
Publication of CN108778416A publication Critical patent/CN108778416A/zh
Application granted granted Critical
Publication of CN108778416B publication Critical patent/CN108778416B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/103Treatment planning systems
    • A61N5/1039Treatment planning systems using functional images, e.g. PET or MRI
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/055Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/4808Multimodal MR, e.g. MR combined with positron emission tomography [PET], MR combined with ultrasound or MR combined with computed tomography [CT]
    • G01R33/4812MR combined with X-ray or computed tomography [CT]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • 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]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5205Devices using data or image processing specially adapted for radiation diagnosis involving processing of raw data to produce diagnostic data
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10081Computed x-ray tomography [CT]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30096Tumor; Lesion
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Radiology & Medical Imaging (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Pathology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Animal Behavior & Ethology (AREA)
  • Databases & Information Systems (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Quality & Reliability (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Evolutionary Biology (AREA)
  • Surgery (AREA)
  • Pulmonology (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Radiation-Therapy Devices (AREA)
  • Image Analysis (AREA)
CN201680072849.7A 2015-10-13 2016-10-12 使用组织参数估计根据mr数据的伪ct生成的系统、方法和介质 Active CN108778416B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
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

Publications (2)

Publication Number Publication Date
CN108778416A CN108778416A (zh) 2018-11-09
CN108778416B true CN108778416B (zh) 2020-06-19

Family

ID=57178551

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201680072849.7A Active CN108778416B (zh) 2015-10-13 2016-10-12 使用组织参数估计根据mr数据的伪ct生成的系统、方法和介质

Country Status (7)

Country Link
US (2) US10102451B2 (enExample)
EP (1) EP3362146B1 (enExample)
JP (2) JP7030050B2 (enExample)
CN (1) CN108778416B (enExample)
AU (1) AU2016339009B2 (enExample)
RU (1) RU2018117507A (enExample)
WO (1) WO2017066317A1 (enExample)

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

Family Cites Families (15)

* 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
US8774482B2 (en) * 2010-05-20 2014-07-08 Siemens Aktiengesellschaft Generating pseudo-CT image volumes from ultra-short echo time MR
JP2015516194A (ja) * 2012-03-29 2015-06-11 コーニンクレッカ フィリップス エヌ ヴェ 個々のピクセルもしくはボクセルに組織固有のpet減衰値を割り当てるmri方法
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
US10223794B2 (en) 2014-03-28 2019-03-05 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
EP3127083B1 (en) * 2014-04-01 2018-08-29 Koninklijke Philips N.V. A method estimating a pseudo hounsfield unit value
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

Also Published As

Publication number Publication date
US10664723B2 (en) 2020-05-26
RU2018117507A3 (enExample) 2020-02-27
AU2016339009A1 (en) 2018-04-26
WO2017066317A1 (en) 2017-04-20
RU2018117507A (ru) 2019-11-14
US20170103287A1 (en) 2017-04-13
JP7030050B2 (ja) 2022-03-04
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

Similar Documents

Publication Publication Date Title
US11944463B2 (en) Pseudo-CT generation from MR data using a feature regression model
CN108778416B (zh) 使用组织参数估计根据mr数据的伪ct生成的系统、方法和介质
US20240185477A1 (en) Neural network for generating synthetic medical images
US10149987B2 (en) Method and system for generating synthetic electron density information for dose calculations based on MRI
US20210056687A1 (en) Systems and methods for segmentation of intra-patient medical images
CN109069858B (zh) 一种放射治疗系统及计算机可读存储装置
Nasief et al. Predicting necessity of daily online adaptive replanning based on wavelet image features for MRI guided adaptive radiation therapy
Rachmawati et al. Automatic whole-body bone scan image segmentation based on constrained local model
Wodzinski et al. Application of B-splines FFD image registration in breast cancer radiotherapy planning
Meharban et al. A comprehensive review on MRI to CT and MRI to PET image synthesis using deep learning
US20250069222A1 (en) Method for generating synthetic images
Chan Generative AI for cone-beam CT dose reduction and intensity correction in adaptive radiotherapy

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant