JP6984010B2 - 深層学習ベースの散乱補正 - Google Patents

深層学習ベースの散乱補正 Download PDF

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JP6984010B2
JP6984010B2 JP2020517389A JP2020517389A JP6984010B2 JP 6984010 B2 JP6984010 B2 JP 6984010B2 JP 2020517389 A JP2020517389 A JP 2020517389A JP 2020517389 A JP2020517389 A JP 2020517389A JP 6984010 B2 JP6984010 B2 JP 6984010B2
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simulated
scattering
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シユ スー
ペーター プリンセン
ジェンス ウィゲルト
ラヴィンドラ モハン マンジェシュワー
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T12/00—Tomographic reconstruction from projections
    • G06T12/10—Image preprocessing, e.g. calibration, positioning of sources or scatter correction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/41—Medical
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G06T2211/441—AI-based methods, deep learning or artificial neural networks

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JP2020517389A 2017-09-28 2018-09-28 深層学習ベースの散乱補正 Active JP6984010B2 (ja)

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Families Citing this family (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102020221B1 (ko) * 2017-11-24 2019-09-10 주식회사 레이 치과용 콘-빔 ｃｔ의 산란선 보정방법 및 보정장치
CN110782502B (zh) * 2018-07-31 2023-11-03 通用电气公司 基于深度学习的pet散射估计系统和使用感知神经网络模型的方法
US11039806B2 (en) * 2018-12-20 2021-06-22 Canon Medical Systems Corporation Apparatus and method that uses deep learning to correct computed tomography (CT) with sinogram completion of projection data
CN110063742B (zh) * 2019-04-30 2024-01-02 上海联影医疗科技股份有限公司 散射校正方法、装置、计算机设备和存储介质
JP7022268B2 (ja) * 2019-08-01 2022-02-18 恵一 中川 Ｘ線コーンビームｃｔ画像再構成方法
CN110490948B (zh) * 2019-08-12 2023-05-16 东软医疗系统股份有限公司 一种pet图像的散射校正方法和装置
US12100075B2 (en) * 2019-10-09 2024-09-24 Siemens Medical Solutions Usa, Inc. Image reconstruction by modeling image formation as one or more neural networks
US11972544B2 (en) * 2020-05-14 2024-04-30 Topcon Corporation Method and apparatus for optical coherence tomography angiography
CN111739116B (zh) * 2020-07-16 2021-01-19 南京理工大学 基于深度神经网络透过散射介质的目标定位和重建方法
EP3951434B1 (en) * 2020-08-04 2024-10-30 Varex Imaging Corporation Estimating background radiation from unknown sources
KR102382192B1 (ko) * 2020-09-11 2022-04-04 한국과학기술원 3차원 산업용 컴퓨터 단층 촬영에서 발생하는 산란 보정을 위한 방법 및 장치
US11662321B2 (en) * 2020-10-09 2023-05-30 Baker Hughes Oilfield Operations Llc Scatter correction for computed tomography imaging
US11790598B2 (en) * 2020-12-16 2023-10-17 Nvidia Corporation Three-dimensional tomography reconstruction pipeline
CN112998732B (zh) * 2021-02-08 2023-07-18 上海联影医疗科技股份有限公司 Pet数据校正方法、装置、计算机设备以及pet图像重建方法
CN112997216B (zh) * 2021-02-10 2022-05-20 北京大学 一种定位图像的转化系统
JP7661084B2 (ja) * 2021-03-30 2025-04-14 本田技研工業株式会社 学習装置、学習方法、プログラム、および物体検知装置
US11782176B2 (en) * 2021-04-23 2023-10-10 Canon Medical Systems Corporation Bad detector calibration methods and workflow for a small pixelated photon counting CT system
EP4080459A1 (en) * 2021-04-23 2022-10-26 Koninklijke Philips N.V. Machine learning-based improvement in iterative image reconstruction
CN113240610B (zh) * 2021-05-27 2023-05-12 清华大学深圳国际研究生院 一种基于仿人眼机制的双通道鬼成像重建方法及系统
CN113643394B (zh) * 2021-07-22 2024-08-23 上海联影医疗科技股份有限公司 散射校正方法、装置、计算机设备和存储介质
US20230083935A1 (en) * 2021-09-08 2023-03-16 Canon Medical Systems Corporation Method and apparatus for partial volume identification from photon-counting macro-pixel measurements
CN113985566B (zh) * 2021-09-10 2023-09-12 西南科技大学 一种基于空间光调制及神经网络的散射光聚焦方法
US12008689B2 (en) 2021-12-03 2024-06-11 Canon Medical Systems Corporation Devices, systems, and methods for deep-learning kernel-based scatter estimation and correction
EP4235581A1 (en) * 2022-02-25 2023-08-30 Canon Medical Systems Corporation Medical image processing method, medical image processing apparatus, program, method for producing a trained machine learning model, apparatus for producing a trained machine learning model and computer-readable storage medium
CN114638910B (zh) * 2022-04-06 2025-09-16 上海联影医疗科技股份有限公司 一种散射校正方法、系统及可读存储介质
CN115499074B (zh) * 2022-08-24 2024-11-01 北京邮电大学 一种基于神经网络的太赫兹散射参数预测方法及装置
US20240249451A1 (en) * 2023-01-20 2024-07-25 Elekta Ltd. Techniques for removing scatter from cbct projections
US12329986B2 (en) 2023-01-20 2025-06-17 Elekta Ltd. Techniques for adaptive radiotherapy based on CBCT projection correction and reconstruction
CN116188619B (zh) * 2023-04-26 2023-09-01 北京唯迈医疗设备有限公司 一种生成用于训练的x射线图像对的方法、装置和介质
US12530825B2 (en) 2023-06-09 2026-01-20 Canon Medical Systems Corporation Method and apparatus for scatter estimation in computed tomography imaging systems
DE102023207766A1 (de) * 2023-08-11 2025-02-13 Siemens Healthineers Ag Verfahren zur Ermittlung einer Materialinformation, Röntgeneinrichtung und Computerprogramm
EP4559397A1 (de) * 2023-11-24 2025-05-28 Siemens Healthineers AG Materialdekomposition bei der dual-energie-röntgenbildgebung
WO2025188746A1 (en) * 2024-03-08 2025-09-12 Carl Zeiss X-ray Microscopy, Inc. Ct reconstruction with k-edge filtering

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
NL9200796A (nl) * 1991-09-13 1993-04-01 Frederik Johannes Beekman Restauratie van computer-tomografische beelden met neurale netwerken.
US6740883B1 (en) * 1998-08-14 2004-05-25 Robert Z. Stodilka Application of scatter and attenuation correction to emission tomography images using inferred anatomy from atlas
EP1846752A2 (en) 2005-02-01 2007-10-24 Koninklijke Philips Electronics N.V. Apparatus and method for correction or extension of x-ray projections
US8144829B2 (en) * 2008-02-27 2012-03-27 The Board Of Trustees Of The Leland Stanford Junior University Cone-beam CT imaging scheme
RU2565507C2 (ru) * 2009-11-25 2015-10-20 Конинклейке Филипс Электроникс Н.В. Система и способ для улучшения качества изображения
CN102033043A (zh) * 2010-10-19 2011-04-27 浙江大学 基于高光谱图像技术的粮粒含水率检测方法
WO2013043947A1 (en) * 2011-09-23 2013-03-28 Dow Agrosciences Llc Chemometrics for near infrared spectral analysis
JP5815048B2 (ja) * 2011-12-12 2015-11-17 株式会社日立メディコ Ｘ線ｃｔ装置
EP2852931B1 (en) 2012-05-21 2019-05-15 Koninklijke Philips N.V. Fast scatter estimation in pet reconstruction
CN108369642A (zh) 2015-12-18 2018-08-03 加利福尼亚大学董事会 根据头部计算机断层摄影解释和量化急症特征
CN105574828B (zh) * 2015-12-22 2019-01-25 沈阳东软医疗系统有限公司 图像散射校正方法、装置及设备
CN106124449B (zh) * 2016-06-07 2019-03-05 中国科学院合肥物质科学研究院 一种基于深度学习技术的土壤近红外光谱分析预测方法
US9589374B1 (en) 2016-08-01 2017-03-07 12 Sigma Technologies Computer-aided diagnosis system for medical images using deep convolutional neural networks
JP6740060B2 (ja) * 2016-09-01 2020-08-12 キヤノンメディカルシステムズ株式会社 Ｘ線ｃｔ装置
US10475214B2 (en) * 2017-04-05 2019-11-12 General Electric Company Tomographic reconstruction based on deep learning
US20180330233A1 (en) * 2017-05-11 2018-11-15 General Electric Company Machine learning based scatter correction
US11126914B2 (en) * 2017-10-11 2021-09-21 General Electric Company Image generation using machine learning
US10937206B2 (en) * 2019-01-18 2021-03-02 Canon Medical Systems Corporation Deep-learning-based scatter estimation and correction for X-ray projection data and computer tomography (CT)

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US11769277B2 (en) 2023-09-26
CN111448590B (zh) 2023-08-15
WO2019063760A1 (en) 2019-04-04
CN111448590A (zh) 2020-07-24
US20200273214A1 (en) 2020-08-27
JP2020534929A (ja) 2020-12-03
EP3688723B1 (en) 2021-12-08
EP3688723A1 (en) 2020-08-05

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