JP2016507320A5 - - Google Patents

Download PDF

Info

Publication number
JP2016507320A5
JP2016507320A5 JP2015558575A JP2015558575A JP2016507320A5 JP 2016507320 A5 JP2016507320 A5 JP 2016507320A5 JP 2015558575 A JP2015558575 A JP 2015558575A JP 2015558575 A JP2015558575 A JP 2015558575A JP 2016507320 A5 JP2016507320 A5 JP 2016507320A5
Authority
JP
Japan
Prior art keywords
local
data set
reference data
local reference
image
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
JP2015558575A
Other languages
English (en)
Japanese (ja)
Other versions
JP2016507320A (ja
JP6472088B2 (ja
Filing date
Publication date
Application filed filed Critical
Priority claimed from PCT/IB2014/058895 external-priority patent/WO2014128595A1/en
Publication of JP2016507320A publication Critical patent/JP2016507320A/ja
Publication of JP2016507320A5 publication Critical patent/JP2016507320A5/ja
Application granted granted Critical
Publication of JP6472088B2 publication Critical patent/JP6472088B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2015558575A 2013-02-21 2014-02-11 スペクトルctに関する構造伝播復元 Active JP6472088B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201361767300P 2013-02-21 2013-02-21
US61/767,300 2013-02-21
PCT/IB2014/058895 WO2014128595A1 (en) 2013-02-21 2014-02-11 Structure propagation restoration for spectral ct

Publications (3)

Publication Number Publication Date
JP2016507320A JP2016507320A (ja) 2016-03-10
JP2016507320A5 true JP2016507320A5 (enExample) 2017-03-16
JP6472088B2 JP6472088B2 (ja) 2019-02-20

Family

ID=50159317

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2015558575A Active JP6472088B2 (ja) 2013-02-21 2014-02-11 スペクトルctに関する構造伝播復元

Country Status (5)

Country Link
US (1) US10282820B2 (enExample)
EP (1) EP2958494B1 (enExample)
JP (1) JP6472088B2 (enExample)
CN (1) CN105025794B (enExample)
WO (1) WO2014128595A1 (enExample)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3077990A1 (en) 2013-12-06 2016-10-12 Koninklijke Philips N.V. Bone segmentation from image data
CN105939667B (zh) 2014-12-05 2017-12-12 皇家飞利浦有限公司 用于生成谱计算机断层摄影投影数据的系统
US10657679B2 (en) 2015-03-09 2020-05-19 Koninklijke Philips N.V. Multi-energy (spectral) image data processing
DE102015206630B4 (de) * 2015-04-14 2022-05-05 Siemens Healthcare Gmbh Multispektrale CT-Bildgebung
KR101697501B1 (ko) * 2015-07-23 2017-01-18 서울대학교산학협력단 Ct 이미지의 잡음 저감 방법 및 장치
WO2017102467A1 (en) 2015-12-15 2017-06-22 Koninklijke Philips N.V. Method of data processing for computed tomography
WO2017197643A1 (en) * 2016-05-20 2017-11-23 Shanghai United Imaging Healthcare Co., Ltd. System and method for computed tomography
CN109196957B (zh) 2016-05-31 2023-07-04 皇家飞利浦有限公司 用于生成x射线的装置
CN109690618B (zh) 2016-11-30 2020-08-07 皇家飞利浦有限公司 谱ct中的骨和硬斑块分割
EP3631806A1 (en) * 2017-06-02 2020-04-08 Koninklijke Philips N.V. Quantified aspects of lesions in medical images
EP3467771A1 (en) * 2017-10-05 2019-04-10 Koninklijke Philips N.V. Image feature annotation in diagnostic imaging
WO2019141527A1 (en) 2018-01-16 2019-07-25 Koninklijke Philips N.V. Spectral imaging with a non-spectral imaging system
EP3616620A1 (en) * 2018-08-28 2020-03-04 Koninklijke Philips N.V. Spectral dual-layer ct-guided interventions
JP7649240B2 (ja) * 2018-11-30 2025-03-19 アキュレイ インコーポレイテッド マルチモーダル放射線機器および方法
EP3893205A1 (en) 2020-04-08 2021-10-13 Koninklijke Philips N.V. Suppression of motion artifacts in computed tomography imaging
EP4044109A1 (en) 2021-02-15 2022-08-17 Koninklijke Philips N.V. Contrast boost by machine learning
EP4044120A1 (en) 2021-02-15 2022-08-17 Koninklijke Philips N.V. Training data synthesizer for contrast enhancing machine learning systems
CN113706419B (zh) * 2021-09-13 2024-07-19 上海联影医疗科技股份有限公司 一种图像处理方法和系统
CN114972088B (zh) * 2022-05-06 2025-01-28 北京师范大学 一种基于最小熵的固定模式噪声去除方法

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1997023993A2 (en) 1995-12-21 1997-07-03 Philips Electronics N.V. Noise reduction in an image
US7254209B2 (en) 2003-11-17 2007-08-07 General Electric Company Iterative CT reconstruction method using multi-modal edge information
US7623723B2 (en) * 2003-11-26 2009-11-24 GE Medical Systems Global Technology Com. Method for random point and patterned noise reduction in digital images
JP2010509652A (ja) 2006-11-08 2010-03-25 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ 画像信号のノイズ低減
US7724865B2 (en) * 2007-08-22 2010-05-25 General Electric Company System and method of optimizing a monochromatic representation of basis material decomposed CT images
DE102008063311A1 (de) 2008-12-30 2010-07-08 Siemens Aktiengesellschaft Verfahren zur Rauschreduktion von CT-Bilddaten und Bildbearbeitungssystem
DE102009010501A1 (de) 2009-02-25 2010-09-09 Siemens Aktiengesellschaft Verfahren zur Rauschreduktion von CT-Bilddaten und Bildbearbeitungssystem
JP5694357B2 (ja) 2009-11-25 2015-04-01 コーニンクレッカ フィリップス エヌ ヴェ 向上された画像データ/線量低減
EP2335593A1 (en) * 2009-12-15 2011-06-22 Koninklijke Philips Electronics N.V. Computed tomography apparatus
CN103649990B (zh) * 2011-07-15 2017-06-06 皇家飞利浦有限公司 用于谱ct的图像处理

Similar Documents

Publication Publication Date Title
Karthik et al. Noise removal using mixtures of projected gaussian scale mixtures
Moon et al. Adaptive polynomial rendering
US20160321523A1 (en) Using machine learning to filter monte carlo noise from images
Gharamti et al. An iterative ensemble Kalman filter with one-step-ahead smoothing for state-parameters estimation of contaminant transport models
JP2016539704A5 (enExample)
JP6239153B2 (ja) 雑音を有する画像の雑音を除去する方法
JP2016522924A5 (enExample)
Gibson et al. Designing image segmentation studies: statistical power, sample size and reference standard quality
JP2015100702A5 (enExample)
RU2011153701A (ru) Реконструкция времяпролетной позитронно-эмиссионной томографии с помощью содержания изображения, формируемого поэтапно на основе времяпролетной информации
JP2016507320A (ja) スペクトルctに関する構造伝播復元
CN105469363A (zh) 基于模糊图像生成清晰图像的方法和装置
US9183671B2 (en) Method for accelerating Monte Carlo renders
JP2018538032A5 (enExample)
Appleby et al. Direct search for features in the primordial bispectrum
JP2016538945A5 (enExample)
Tang et al. The new second-order single oriented partial differential equations for optical interferometry fringes with high density
JP2015212937A5 (ja) 画像信号を処理する方法
Iwata et al. Estimation of kinetic parameters in an S-system equation model for a metabolic reaction system using the Newton–Raphson method
Bada et al. Parameter cascading for panel models with unknown number of unobserved factors: An application to the credit spread puzzle
Zhang et al. Non-local regularized variational model for image deblurring under mixed Gaussian-impulse noise
KR102135459B1 (ko) 이미지 처리 장치의 디노이징 방법 및 이를 위한 피처 생성 방법
Muroi et al. Discrete Malliavin calculus and computations of greeks in the binomial tree
JP2013519409A5 (enExample)
Ge et al. A two-step super-Gaussian independent component analysis approach for fMRI data