JP2016507320A5 - - Google Patents
Download PDFInfo
- 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
Links
- 238000000034 method Methods 0.000 claims 15
- 230000003595 spectral effect Effects 0.000 claims 9
- 238000000605 extraction Methods 0.000 claims 1
- 230000001629 suppression Effects 0.000 claims 1
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)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6526669B2 (ja) | 2013-12-06 | 2019-06-05 | コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． | 画像データからの骨の区分化 |
| WO2016087394A1 (en) | 2014-12-05 | 2016-06-09 | Koninklijke Philips N.V. | Eyi chusystem for generating spectral computed tomography projection data |
| 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 |
| US10993688B2 (en) * | 2015-12-15 | 2021-05-04 | Koninklijke Philips N.V. | Method of data processing for computed tomography |
| US10002447B1 (en) * | 2016-05-20 | 2018-06-19 | Shanghai United Imaging Healthcare Co., Ltd. | System and method for computed tomography |
| WO2017207383A1 (en) | 2016-05-31 | 2017-12-07 | Koninklijke Philips N.V. | Apparatus for generating x-rays |
| WO2018099881A1 (en) | 2016-11-30 | 2018-06-07 | Koninklijke Philips N.V. | Bone and hard plaque segmentation in spectral ct |
| WO2018219818A1 (en) * | 2017-06-02 | 2018-12-06 | 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 |
| JP7564098B2 (ja) * | 2018-11-30 | 2024-10-08 | アキュレイ インコーポレイテッド | 画像誘導放射線治療装置内に統合されるヘリカルファンビームコンピュータ断層撮影 |
| 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)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0811289B1 (en) | 1995-12-21 | 2001-10-17 | Koninklijke 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 |
| CN101536033A (zh) | 2006-11-08 | 2009-09-16 | 皇家飞利浦电子股份有限公司 | 图像信号的降噪 |
| 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 |
| BR112012012231A2 (pt) * | 2009-11-25 | 2017-12-19 | Koninl Philips Electronics Nv | método e sistema |
| EP2335593A1 (en) * | 2009-12-15 | 2011-06-22 | Koninklijke Philips Electronics N.V. | Computed tomography apparatus |
| EP2732431B1 (en) * | 2011-07-15 | 2019-03-13 | Koninklijke Philips N.V. | Image processing for spectral ct |
-
2014
- 2014-02-11 EP EP14706342.4A patent/EP2958494B1/en active Active
- 2014-02-11 CN CN201480009706.2A patent/CN105025794B/zh active Active
- 2014-02-11 US US14/766,999 patent/US10282820B2/en active Active
- 2014-02-11 JP JP2015558575A patent/JP6472088B2/ja active Active
- 2014-02-11 WO PCT/IB2014/058895 patent/WO2014128595A1/en not_active Ceased
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 | |
| CN105469363A (zh) | 基于模糊图像生成清晰图像的方法和装置 | |
| JP2016507320A (ja) | スペクトルｃｔに関する構造伝播復元 | |
| US9183671B2 (en) | Method for accelerating Monte Carlo renders | |
| JP2016538945A5 (enExample) | ||
| JP2018538032A5 (enExample) | ||
| Appleby et al. | Direct search for features in the primordial bispectrum | |
| 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 | |
| Muroi et al. | Discrete Malliavin calculus and computations of greeks in the binomial tree | |
| KR102135459B1 (ko) | 이미지 처리 장치의 디노이징 방법 및 이를 위한 피처 생성 방법 | |
| JP2013519409A5 (enExample) | ||
| Ge et al. | A two-step super-Gaussian independent component analysis approach for fMRI data |