JP2020534929A5 - - Google Patents
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- JP2020534929A5 JP2020534929A5 JP2020517389A JP2020517389A JP2020534929A5 JP 2020534929 A5 JP2020534929 A5 JP 2020534929A5 JP 2020517389 A JP2020517389 A JP 2020517389A JP 2020517389 A JP2020517389 A JP 2020517389A JP 2020534929 A5 JP2020534929 A5 JP 2020534929A5
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- 238000002591 computed tomography Methods 0.000 claims 35
- 238000013528 artificial neural network Methods 0.000 claims 16
- 238000013170 computed tomography imaging Methods 0.000 claims 16
- 238000003384 imaging method Methods 0.000 claims 12
- 238000000034 method Methods 0.000 claims 7
- 238000000342 Monte Carlo simulation Methods 0.000 claims 5
- 238000004088 simulation Methods 0.000 claims 4
- 238000013527 convolutional neural network Methods 0.000 claims 2
- 238000000354 decomposition reaction Methods 0.000 claims 2
- 230000009977 dual effect Effects 0.000 claims 2
- 238000001228 spectrum Methods 0.000 claims 2
- ZCYVEMRRCGMTRW-UHFFFAOYSA-N 7553-56-2 Chemical compound [I] ZCYVEMRRCGMTRW-UHFFFAOYSA-N 0.000 claims 1
- 229910052740 iodine Inorganic materials 0.000 claims 1
- 239000011630 iodine Substances 0.000 claims 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 1
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762564447P | 2017-09-28 | 2017-09-28 | |
| US62/564,447 | 2017-09-28 | ||
| PCT/EP2018/076400 WO2019063760A1 (en) | 2017-09-28 | 2018-09-28 | DISPERSION CORRECTION BASED ON DEEP LEARNING |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020534929A JP2020534929A (ja) | 2020-12-03 |
| JP2020534929A5 true JP2020534929A5 (https=) | 2021-10-21 |
| JP6984010B2 JP6984010B2 (ja) | 2021-12-17 |
Family
ID=63787919
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020517389A Active JP6984010B2 (ja) | 2017-09-28 | 2018-09-28 | 深層学習ベースの散乱補正 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11769277B2 (https=) |
| EP (1) | EP3688723B1 (https=) |
| JP (1) | JP6984010B2 (https=) |
| CN (1) | CN111448590B (https=) |
| WO (1) | WO2019063760A1 (https=) |
Families Citing this family (33)
| 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)
| 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) |
-
2018
- 2018-09-28 EP EP18782686.2A patent/EP3688723B1/en active Active
- 2018-09-28 US US16/650,941 patent/US11769277B2/en active Active
- 2018-09-28 CN CN201880076660.4A patent/CN111448590B/zh active Active
- 2018-09-28 WO PCT/EP2018/076400 patent/WO2019063760A1/en not_active Ceased
- 2018-09-28 JP JP2020517389A patent/JP6984010B2/ja active Active
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