JP2019535009A5 - - Google Patents

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JP2019535009A5
JP2019535009A5 JP2019516636A JP2019516636A JP2019535009A5 JP 2019535009 A5 JP2019535009 A5 JP 2019535009A5 JP 2019516636 A JP2019516636 A JP 2019516636A JP 2019516636 A JP2019516636 A JP 2019516636A JP 2019535009 A5 JP2019535009 A5 JP 2019535009A5
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image
pixel
voxel
difference
iteration
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JP2019535009A (ja
JP7041128B6 (ja
JP7041128B2 (ja
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Priority claimed from PCT/EP2017/074152 external-priority patent/WO2018060106A1/en
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JP2019516636A 2016-09-30 2017-09-25 ノイズに起因するアーチファクト形成の動的抑制を用いた反復画像再構成 Expired - Fee Related JP7041128B6 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201662401957P 2016-09-30 2016-09-30
US62/401,957 2016-09-30
PCT/EP2017/074152 WO2018060106A1 (en) 2016-09-30 2017-09-25 Iterative image reconstruction with dynamic suppression of formation of noise-induced artifacts

Publications (4)

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JP2019535009A JP2019535009A (ja) 2019-12-05
JP2019535009A5 true JP2019535009A5 (https=) 2020-11-12
JP7041128B2 JP7041128B2 (ja) 2022-03-23
JP7041128B6 JP7041128B6 (ja) 2022-05-30

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JP2019516636A Expired - Fee Related JP7041128B6 (ja) 2016-09-30 2017-09-25 ノイズに起因するアーチファクト形成の動的抑制を用いた反復画像再構成

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US (1) US11210820B2 (https=)
EP (1) EP3520079B1 (https=)
JP (1) JP7041128B6 (https=)
CN (1) CN109791701B (https=)
WO (1) WO2018060106A1 (https=)

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Publication number Priority date Publication date Assignee Title
US11798205B2 (en) * 2018-01-02 2023-10-24 Koninklijke Philips N.V. Image reconstruction employing tailored edge preserving regularization
EP3735676A1 (en) * 2018-01-02 2020-11-11 Koninklijke Philips N.V. Learning-based voxel evolution for regularized reconstruction
JP7404362B2 (ja) * 2018-11-16 2023-12-25 コーニンクレッカ フィリップス エヌ ヴェ ステップアンドシュート及び動き補償陽電子放出断層撮影(pet)研究のためのエッジ保存ペナルティ付き再構成
CN109978966B (zh) * 2019-03-21 2022-11-08 江苏赛诺格兰医疗科技有限公司 对pet活度分布图像进行衰减校正的校正信息获取方法
CN110751702B (zh) 2019-10-29 2023-06-16 上海联影医疗科技股份有限公司 图像重建方法、系统、装置及存储介质
EP3828767A1 (en) 2019-11-26 2021-06-02 Koninklijke Philips N.V. Probablistic regularization of convolutional neurual networks for multiple-feature detection based on correlations
CN111047663B (zh) * 2019-12-16 2023-05-02 中国人民解放军第四军医大学 电学层析成像伪影抑制图像重建方法
EP4202824A1 (en) * 2021-12-21 2023-06-28 Koninklijke Philips N.V. Method for image-processing of ct images
CN115359049B (zh) * 2022-10-19 2023-03-24 首都师范大学 基于非线性扩散模型的有限角ct图像重建方法及装置
CN119379841B (zh) * 2024-12-30 2025-04-15 杭州市北京航空航天大学国际创新研究院(北京航空航天大学国际创新学院) 火焰场参数抗伪影层析成像方法和装置、系统、存储介质
CN120070832B (zh) * 2025-04-23 2025-07-15 首都医科大学附属北京天坛医院 一种口腔全景片图像数据增强方法及系统

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US8538099B2 (en) 2005-03-23 2013-09-17 General Electric Company Method and system for controlling image reconstruction
US7405405B2 (en) * 2005-05-17 2008-07-29 General Electric Company Method and system for reconstructing an image in a positron emission tomography (PET) system
US7831097B2 (en) 2006-03-16 2010-11-09 Siemens Medical Solutions Usa, Inc. System and method for image reconstruction
US8655033B2 (en) 2009-10-28 2014-02-18 General Electric Company Iterative reconstruction
US8938105B2 (en) 2010-10-28 2015-01-20 Kabushiki Kaisha Toshiba Denoising method and system for preserving clinically significant structures in reconstructed images using adaptively weighted anisotropic diffusion filter
CN103229212A (zh) * 2010-11-30 2013-07-31 皇家飞利浦电子股份有限公司 具有基于恒定方差的加权因子的迭代重建算法
US8879814B2 (en) * 2012-05-22 2014-11-04 General Electric Company Method and apparatus for reducing motion related imaging artifacts using consistency values
US8958660B2 (en) 2012-06-22 2015-02-17 General Electric Company Method and apparatus for iterative reconstruction
US9256967B2 (en) 2012-11-02 2016-02-09 General Electric Company Systems and methods for partial volume correction in PET penalized-likelihood image reconstruction

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