JP2022506395A5 - - Google Patents

Info

Publication number
JP2022506395A5
JP2022506395A5 JP2021523746A JP2021523746A JP2022506395A5 JP 2022506395 A5 JP2022506395 A5 JP 2022506395A5 JP 2021523746 A JP2021523746 A JP 2021523746A JP 2021523746 A JP2021523746 A JP 2021523746A JP 2022506395 A5 JP2022506395 A5 JP 2022506395A5
Authority
JP
Japan
Prior art keywords
lesion
suv
correction coefficient
input data
value
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.)
Granted
Application number
JP2021523746A
Other languages
English (en)
Japanese (ja)
Other versions
JP7359851B2 (ja
JP2022506395A (ja
Filing date
Publication date
Application filed filed Critical
Priority claimed from PCT/EP2019/080628 external-priority patent/WO2020099250A1/en
Publication of JP2022506395A publication Critical patent/JP2022506395A/ja
Publication of JP2022506395A5 publication Critical patent/JP2022506395A5/ja
Application granted granted Critical
Publication of JP7359851B2 publication Critical patent/JP7359851B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2021523746A 2018-11-13 2019-11-08 陽電子放出断層撮影(pet)のための人工知能(ai)ベースの標準取込み値(suv)補正及び変動評価 Active JP7359851B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201862760124P 2018-11-13 2018-11-13
US62/760,124 2018-11-13
PCT/EP2019/080628 WO2020099250A1 (en) 2018-11-13 2019-11-08 Artificial intelligence (ai)-based standardized uptake value (suv) correction and variation assessment for positron emission tomography (pet)

Publications (3)

Publication Number Publication Date
JP2022506395A JP2022506395A (ja) 2022-01-17
JP2022506395A5 true JP2022506395A5 (enExample) 2022-11-11
JP7359851B2 JP7359851B2 (ja) 2023-10-11

Family

ID=68501620

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021523746A Active JP7359851B2 (ja) 2018-11-13 2019-11-08 陽電子放出断層撮影(pet)のための人工知能(ai)ベースの標準取込み値(suv)補正及び変動評価

Country Status (5)

Country Link
US (1) US12346998B2 (enExample)
EP (1) EP3881289A1 (enExample)
JP (1) JP7359851B2 (enExample)
CN (1) CN113196340B (enExample)
WO (1) WO2020099250A1 (enExample)

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12346998B2 (en) * 2018-11-13 2025-07-01 Koninklijke Philips N.V. Artificial intelligence (AI)-based standardized uptake value (SUV) correction and variation assessment for positron emission tomography (PET)
US11429840B2 (en) * 2019-09-25 2022-08-30 Siemens Medical Solutions Usa, Inc. Learning parameter invariant image reconstruction embedding for AI systems
WO2021159236A1 (zh) * 2020-02-10 2021-08-19 深圳先进技术研究院 基于非衰减校正pet图像生成合成pet-ct图像的方法和系统
CN113505527B (zh) * 2021-06-24 2022-10-04 中国科学院计算机网络信息中心 一种基于数据驱动的材料性质预测方法及系统
CN114358285B (zh) * 2022-01-11 2025-04-29 浙江大学 一种基于流模型的pet系统衰减校正方法
WO2023149174A1 (ja) * 2022-02-02 2023-08-10 ソニーグループ株式会社 情報処理装置、情報処理方法及びプログラム
KR102784862B1 (ko) * 2022-05-18 2025-03-21 서울대학교산학협력단 복셀 기반 방사선 선량 평가 방법 및 장치
CN116228909A (zh) * 2023-03-10 2023-06-06 南京理工大学 基于深度卷积神经网络的pet系统晶间散射校正方法
US20250225698A1 (en) * 2024-01-10 2025-07-10 Siemens Medical Solutions Usa, Inc. Methods and apparatus for generating images for an uptake time using machine learning based processes
CN118151585B (zh) * 2024-03-12 2024-10-08 河北安迪科正电子技术有限公司 一种基于人工智能的正电子设备自动化控制系统及方法
US20250329070A1 (en) * 2024-04-22 2025-10-23 GE Precision Healthcare LLC Data-driven system and method to access and correct system responses
CN120411688B (zh) * 2025-07-01 2025-11-04 中国科学院自动化研究所 基于小样本的bad识别模型构建方法及bad识别方法
CN120726053B (zh) * 2025-09-01 2025-11-21 川北医学院附属医院 用于神经系统疾病的核医学功能成像分析方法及系统

Family Cites Families (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2007144703A (ru) 2005-05-03 2009-06-10 Конинклейке Филипс Электроникс Н.В. (Nl) Виртуальная количественная оценка очага поражения
US8026488B2 (en) * 2008-01-24 2011-09-27 Case Western Reserve University Methods for positive emission tomography (PET) target image segmentation
RU2526717C2 (ru) 2009-01-22 2014-08-27 Конинклейке Филипс Электроникс, Н.В. Попиксельное и поэлементное гибридное объединение для изображений позитрон-эмиссионной томографии (рет)/компьютерной томографии (ст)
EP2457216B1 (en) 2009-07-20 2017-11-08 Koninklijke Philips N.V. Anatomy modeling for tumor region of interest definition
US8620053B2 (en) * 2009-11-04 2013-12-31 Siemens Medical Solutions Usa, Inc. Completion of truncated attenuation maps using maximum likelihood estimation of attenuation and activity (MLAA)
RU2013129865A (ru) * 2010-12-01 2015-01-10 Конинклейке Филипс Электроникс Н.В. Особенности диагностического изображения рядом с источниками артефактов
US9436989B2 (en) * 2011-06-03 2016-09-06 Bayer Healthcare Llc System and method for rapid quantitative dynamic molecular imaging scans
US9256967B2 (en) * 2012-11-02 2016-02-09 General Electric Company Systems and methods for partial volume correction in PET penalized-likelihood image reconstruction
EP3996039A1 (en) * 2014-10-17 2022-05-11 Stichting Maastricht Radiation Oncology "Maastro-Clinic" Image analysis method supporting illness development prediction for a neoplasm in a human or animal body
CN108292443A (zh) * 2015-11-20 2018-07-17 皇家飞利浦有限公司 使用病变代理的pet图像重建和处理
US10311560B2 (en) 2016-09-07 2019-06-04 Huazhong University Of Science And Technology Method and system for estimating blur kernel size
CN107123095B (zh) * 2017-04-01 2020-03-31 上海联影医疗科技有限公司 一种pet图像重建方法、成像系统
US10475214B2 (en) * 2017-04-05 2019-11-12 General Electric Company Tomographic reconstruction based on deep learning
JP7326160B2 (ja) * 2017-05-01 2023-08-15 コーニンクレッカ フィリップス エヌ ヴェ 定量的分子撮像のための正確なハイブリッドデータセットの生成
US20200175732A1 (en) * 2017-06-02 2020-06-04 Koninklijke Philips N.V. Systems and methods to provide confidence values as a measure of quantitative assurance for iteratively reconstructed images in emission tomography
CN107403201A (zh) * 2017-08-11 2017-11-28 强深智能医疗科技(昆山)有限公司 肿瘤放射治疗靶区和危及器官智能化、自动化勾画方法
US12346998B2 (en) * 2018-11-13 2025-07-01 Koninklijke Philips N.V. Artificial intelligence (AI)-based standardized uptake value (SUV) correction and variation assessment for positron emission tomography (PET)
EP4026054A4 (en) * 2019-10-09 2022-11-30 Siemens Medical Solutions USA, Inc. IMAGE RECONSTRUCTION BY MODELING IMAGE GENERATION AS ONE OR MORE NEURAL NETWORKS
EP3901903B1 (en) * 2020-04-23 2023-06-14 Siemens Healthcare GmbH Classifying a lesion based on longitudinal studies
EP4208848A1 (en) * 2020-09-02 2023-07-12 Genentech, Inc. Connected machine-learning models with joint training for lesion detection
US20220383045A1 (en) * 2021-05-25 2022-12-01 International Business Machines Corporation Generating pseudo lesion masks from bounding box annotations

Similar Documents

Publication Publication Date Title
JP2022506395A5 (enExample)
JP7203852B2 (ja) 深層学習を使用した低線量petイメージングからの全線量pet画像の推定
JP7359851B2 (ja) 陽電子放出断層撮影(pet)のための人工知能(ai)ベースの標準取込み値(suv)補正及び変動評価
US10395353B2 (en) Model-based scatter in multi-modality multi-energy SPECT reconstruction
JP7159167B2 (ja) 陽電子放出断層撮影(pet)撮像における結果のロバスト性を向上させるための標準取込値(suv)誘導再構成制御
US10690782B2 (en) Systems and methods for positron emission tomography image reconstruction
CN106491151B (zh) Pet图像获取方法及系统
TWI535422B (zh) 動態單光子放射電腦斷層攝影或是單光子放射電腦斷層攝影/電腦斷層攝影成像之心肌血流量化系統及方法
US10064593B2 (en) Image reconstruction for a volume based on projection data sets
JP7326160B2 (ja) 定量的分子撮像のための正確なハイブリッドデータセットの生成
CN106415317B (zh) 单光子发射计算机化断层摄影术中的多个发射能量
EP4097683B1 (en) Methods and apparatus for deep learning based image attenuation correction
KR102283934B1 (ko) Pet 영상에 기반한 가상 ct 영상 및 감쇠보정 pet 영상 생성 방법 및 시스템
WO2020019684A1 (zh) 低剂量pet图像重建方法、装置、设备及存储介质
US20230260173A1 (en) Systems and methods for positron emission tomography image reconstruction
WO2015198189A1 (en) Reconstruction with multiple photopeaks in quantitative single photon emission computed tomography
Bismark et al. Reduction of beam hardening artifacts on real C-arm CT data using polychromatic statistical image reconstruction
Steinberg et al. Three-region MRI-based whole-body attenuation correction for automated PET reconstruction
JPWO2021260928A5 (enExample)
JP2018044957A (ja) 医用画像処理装置、医用画像診断装置及び医用画像処理方法
JP4997575B2 (ja) 減弱係数マップ作成装置、減弱係数マップ作成方法およびプログラム
US20230076112A1 (en) Attenuation correction-based weighting for tomographic inconsistency detection
US12488446B2 (en) Apparatus and methods for unsupervised image denoising using double over-parameterization
US12073538B2 (en) Neural network for improved performance of medical imaging systems
CN105310712A (zh) 核医单光子影像测量肿瘤标准摄取值的方法及系统