JP2021511608A - 金属アーチファクトを低減するための深層学習の使用 - Google Patents

金属アーチファクトを低減するための深層学習の使用 Download PDF

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JP2021511608A
JP2021511608A JP2020560551A JP2020560551A JP2021511608A JP 2021511608 A JP2021511608 A JP 2021511608A JP 2020560551 A JP2020560551 A JP 2020560551A JP 2020560551 A JP2020560551 A JP 2020560551A JP 2021511608 A JP2021511608 A JP 2021511608A
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image
ray
uncorrected
metal
ray image
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JP2021511608A5 (https=
JPWO2019145149A5 (https=
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シーユー シュー
シーユー シュー
ハオ ダン
ハオ ダン
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Koninklijke Philips NV
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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
    • G06T12/30—Image post-processing, e.g. metal artefact correction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10104—Positron emission tomography [PET]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Nuclear Medicine (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
JP2020560551A 2018-01-26 2019-01-09 金属アーチファクトを低減するための深層学習の使用 Pending JP2021511608A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201862622170P 2018-01-26 2018-01-26
US62/622,170 2018-01-26
PCT/EP2019/050469 WO2019145149A1 (en) 2018-01-26 2019-01-09 Using deep learning to reduce metal artifacts

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JP2021511608A true JP2021511608A (ja) 2021-05-06
JP2021511608A5 JP2021511608A5 (https=) 2022-01-18
JPWO2019145149A5 JPWO2019145149A5 (https=) 2022-01-18

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US (1) US20210056688A1 (https=)
EP (1) EP3743889A1 (https=)
JP (1) JP2021511608A (https=)
CN (1) CN111656405A (https=)
WO (1) WO2019145149A1 (https=)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022180971A (ja) * 2021-05-25 2022-12-07 キヤノンメディカルシステムズ株式会社 学習装置、医用画像処理装置、学習方法、及びプログラム

Families Citing this family (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019173452A1 (en) * 2018-03-07 2019-09-12 Rensselaer Polytechnic Institute Deep neural network for ct metal artifact reduction
US11154268B2 (en) * 2018-03-19 2021-10-26 Siemens Medical Solutions Usa, Inc. High-resolution anti-pinhole PET scan
EP3693921B1 (en) * 2019-02-05 2022-04-20 Siemens Healthcare GmbH Method for segmenting metal objects in projection images, evaluation device, computer program and electronically readable storage medium
EP3958742A4 (en) * 2019-05-24 2022-06-29 Shanghai United Imaging Healthcare Co., Ltd. Systems and methods for processing x-ray images
WO2021061924A1 (en) * 2019-09-24 2021-04-01 Nuvasive, Inc. Systems and methods for updating three-dimensional medical images using two-dimensional information
JP7553307B2 (ja) * 2019-10-02 2024-09-18 キヤノンメディカルシステムズ株式会社 Ｘ線診断装置
DE102020203741A1 (de) * 2020-03-24 2021-09-30 Siemens Healthcare Gmbh Verfahren und Vorrichtung zum Bereitstellen eines artefaktreduzierten Röntgenbilddatensatzes
US11249035B2 (en) * 2020-06-29 2022-02-15 Canon Medical Systems Corporation Two-step material decomposition calibration method for a full size photon counting computed tomography system
US12109075B2 (en) 2020-09-15 2024-10-08 Mazor Robotics Ltd. Systems and methods for generating a corrected image
US11890124B2 (en) 2021-02-01 2024-02-06 Medtronic Navigation, Inc. Systems and methods for low-dose AI-based imaging
KR102591665B1 (ko) * 2021-02-17 2023-10-18 연세대학교 산학협력단 인공 신경망을 이용한 ct 영상 보정 장치 및 방법
US12106478B2 (en) * 2021-03-16 2024-10-01 GE Precision Healthcare LLC Deep learning based medical system and method for image acquisition
CN113112490B (zh) * 2021-04-23 2022-09-30 上海卓昕医疗科技有限公司 一种三维医学影像标记点提取方法及系统
CN113256529B (zh) * 2021-06-09 2021-10-15 腾讯科技（深圳）有限公司 图像处理方法、装置、计算机设备及存储介质
CN113554563B (zh) * 2021-07-23 2024-05-14 上海友脉科技有限责任公司 一种医学图像处理方法、介质及电子设备
CN113744320B (zh) * 2021-09-10 2024-03-29 中国科学院近代物理研究所 一种智能型的离子束自适应放疗系统、存储介质及设备
DE102022203101B3 (de) 2022-03-30 2023-09-21 Siemens Healthcare Gmbh Verfahren zur Artefaktkorrektur in einem Computertomographiebilddatensatz, Computertomographieeinrichtung, Computerprogramm und elektronisch lesbarer Datenträger
US20260030819A1 (en) * 2022-07-07 2026-01-29 Koninklijke Philips N.V. Cone beam artifact reduction
WO2024097060A1 (en) * 2022-11-03 2024-05-10 PathAI, Inc. Systems and methods for deep learning model annotation using specialized imaging modalities
CN116309923A (zh) * 2023-05-24 2023-06-23 吉林大学 基于图神经网络的ct金属伪影消除方法及系统
CN117078529A (zh) * 2023-07-14 2023-11-17 北京天智航医疗科技股份有限公司 消除次生伪影的处理计算机断层图像的方法及电子设备
US20250037241A1 (en) * 2023-07-27 2025-01-30 GE Precision Healthcare LLC Methods and systems for dual-energy subtraction images
CN118476868B (zh) * 2024-07-16 2024-09-27 上海一影信息科技有限公司 一种金属针引导方法、系统和影像处理设备

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017223560A1 (en) * 2016-06-24 2017-12-28 Rensselaer Polytechnic Institute Tomographic image reconstruction via machine learning
JP2018500970A (ja) * 2014-12-04 2018-01-18 ゼネラル・エレクトリック・カンパニイ 構成材料の分類を改善するための方法およびシステム

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5624125B2 (ja) 2009-05-13 2014-11-12 コーニンクレッカ フィリップス エヌ ヴェ パーソナルメディカルデバイスを有した患者を画像表示する方法及びシステム
RU2013129865A (ru) * 2010-12-01 2015-01-10 Конинклейке Филипс Электроникс Н.В. Особенности диагностического изображения рядом с источниками артефактов
US20170362585A1 (en) * 2016-06-15 2017-12-21 Rensselaer Polytechnic Institute Methods and apparatus for x-genetics

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018500970A (ja) * 2014-12-04 2018-01-18 ゼネラル・エレクトリック・カンパニイ 構成材料の分類を改善するための方法およびシステム
WO2017223560A1 (en) * 2016-06-24 2017-12-28 Rensselaer Polytechnic Institute Tomographic image reconstruction via machine learning

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
HYUNG SUK PARK ET AL.: "Machine-learning-based nonlinear decomposition of CT images for metal artifact reduction", [ONLINE], JPN6023003298, 1 August 2017 (2017-08-01), ISSN: 0004979542 *
KAI ZHANG ET AL.: "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising", IEEE TRANSACTIONS ON IMAGE PROCESSING VOLUME: 26, ISSUE: 7, JPN6023003299, 31 July 2017 (2017-07-31), ISSN: 0004979543 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022180971A (ja) * 2021-05-25 2022-12-07 キヤノンメディカルシステムズ株式会社 学習装置、医用画像処理装置、学習方法、及びプログラム

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CN111656405A (zh) 2020-09-11
WO2019145149A1 (en) 2019-08-01
US20210056688A1 (en) 2021-02-25
EP3743889A1 (en) 2020-12-02

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