CN112055870A - 图像配准合格评价 - Google Patents

图像配准合格评价 Download PDF

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Publication number
CN112055870A
CN112055870A CN201980029365.8A CN201980029365A CN112055870A CN 112055870 A CN112055870 A CN 112055870A CN 201980029365 A CN201980029365 A CN 201980029365A CN 112055870 A CN112055870 A CN 112055870A
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image
image registration
registration
modality
controller
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CN201980029365.8A
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Chinese (zh)
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闫平昆
J·克吕克尔
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Koninklijke Philips NV
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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
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211—Selection of the most significant subset of features
    • G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
    • 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
    • G06N3/045—Combinations of networks
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • 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
    • 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
    • G06N3/09—Supervised learning
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • 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
    • G06T2207/10132—Ultrasound image
    • 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]
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30081—Prostate

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Image Analysis (AREA)
CN201980029365.8A 2018-03-02 2019-02-26 图像配准合格评价 Pending CN112055870A (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201862637553P 2018-03-02 2018-03-02
US62/637,553 2018-03-02
US201862677334P 2018-05-29 2018-05-29
US62/677,334 2018-05-29
PCT/EP2019/054766 WO2019166447A1 (en) 2018-03-02 2019-02-26 Image registration qualification

Publications (1)

Publication Number Publication Date
CN112055870A true CN112055870A (zh) 2020-12-08

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CN201980029365.8A Pending CN112055870A (zh) 2018-03-02 2019-02-26 图像配准合格评价

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US (1) US11380001B2 (https=)
JP (1) JP7245256B2 (https=)
CN (1) CN112055870A (https=)
DE (1) DE112019001097T5 (https=)
WO (1) WO2019166447A1 (https=)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116580071A (zh) * 2022-01-29 2023-08-11 佳能医疗系统株式会社 医用图像配准方法、医用图像处理装置、存储介质及程序产品

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102019217576B4 (de) * 2019-11-14 2021-10-14 Siemens Healthcare Gmbh Identifizieren und Bereitstellen von Fehlausrichtungsbildmerkmalen
CN115210761B (zh) * 2020-03-05 2026-01-20 皇家飞利浦有限公司 多模态医学图像配准和相关联的设备、系统和方法
CN111640145B (zh) * 2020-05-29 2022-03-29 上海商汤智能科技有限公司 图像配准方法及其相关的模型训练方法、设备、装置
CN116830126A (zh) * 2020-11-23 2023-09-29 深透医疗公司 自动化医学图像质量控制系统
CN113192014B (zh) * 2021-04-16 2024-01-30 深圳市第二人民医院(深圳市转化医学研究院) 改进脑室分割模型的训练方法、装置、电子设备和介质
JP7650742B2 (ja) * 2021-07-14 2025-03-25 株式会社Ｓｃｒｅｅｎホールディングス 標本画像のレジストレーション方法、標本画像の解析方法、プログラムおよび記録媒体
US12462335B2 (en) 2022-03-03 2025-11-04 Rensselaer Polytechnic Institute Systems and methods for multi-modal multi-dimensional image registration
WO2026033880A1 (ja) * 2024-08-06 2026-02-12 ソニーグループ株式会社 画像処理装置および方法

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010131269A (ja) * 2008-12-05 2010-06-17 Canon Inc 情報処理装置および情報処理方法
JP2011142974A (ja) * 2010-01-13 2011-07-28 Fujifilm Corp 医用画像表示装置および方法、並びにプログラム
JP2013223674A (ja) * 2012-04-23 2013-10-31 Hitachi Ltd 画像処理装置、画像処理方法
CN105188550A (zh) * 2013-03-12 2015-12-23 光学实验室成像公司 血管数据处理和图像配准系统、方法及装置
WO2017038300A1 (ja) * 2015-09-02 2017-03-09 株式会社日立製作所 超音波撮像装置、画像処理装置、及び方法
CN106920215A (zh) * 2017-03-06 2017-07-04 长沙全度影像科技有限公司 一种全景图像配准效果的检测方法
US20170337682A1 (en) * 2016-05-18 2017-11-23 Siemens Healthcare Gmbh Method and System for Image Registration Using an Intelligent Artificial Agent

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7965420B2 (en) * 2008-03-31 2011-06-21 Xerox Corporation Method and apparatus for image registration for image processing
WO2013132402A2 (en) * 2012-03-08 2013-09-12 Koninklijke Philips N.V. Intelligent landmark selection to improve registration accuracy in multimodal image fusion
US9922272B2 (en) * 2014-09-25 2018-03-20 Siemens Healthcare Gmbh Deep similarity learning for multimodal medical images
US9770213B2 (en) 2014-10-30 2017-09-26 Koninklijke Philips N.V. Device, system and method for extracting physiological information
US10231667B2 (en) 2014-10-31 2019-03-19 Koninklijke Philips N.V. Non-invasive dehydration monitoring
CN106551690A (zh) 2015-09-30 2017-04-05 齐心 一种生命体征测量装置及方法
RU2018121341A (ru) 2015-11-10 2019-12-16 Конинклейке Филипс Н.В, Устройство для фотоплетизмографии
JP6849684B2 (ja) 2016-01-15 2021-03-24 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 対象のバイタルサイン情報を含むフォトプレチスモグラフ画像を生成するデバイス、システム、及び方法
KR102439769B1 (ko) * 2016-01-18 2022-09-05 삼성메디슨 주식회사 의료 영상 장치 및 그 동작방법
US11232548B2 (en) * 2016-03-22 2022-01-25 Digital Diagnostics Inc. System and methods for qualifying medical images
US10733744B2 (en) * 2017-05-11 2020-08-04 Kla-Tencor Corp. Learning based approach for aligning images acquired with different modalities
US10417737B2 (en) * 2017-06-21 2019-09-17 International Business Machines Corporation Machine learning model for automatic image registration quality assessment and correction

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010131269A (ja) * 2008-12-05 2010-06-17 Canon Inc 情報処理装置および情報処理方法
US20100239150A1 (en) * 2008-12-05 2010-09-23 Canon Kabushiki Kaisha Information processing apparatus for registrating medical images, information processing method and program
JP2011142974A (ja) * 2010-01-13 2011-07-28 Fujifilm Corp 医用画像表示装置および方法、並びにプログラム
JP2013223674A (ja) * 2012-04-23 2013-10-31 Hitachi Ltd 画像処理装置、画像処理方法
WO2013161112A1 (ja) * 2012-04-23 2013-10-31 株式会社日立製作所 画像処理装置、画像処理方法
CN105188550A (zh) * 2013-03-12 2015-12-23 光学实验室成像公司 血管数据处理和图像配准系统、方法及装置
JP2016516466A (ja) * 2013-03-12 2016-06-09 ライトラボ・イメージング・インコーポレーテッド 血管データ処理及び画像位置合わせのシステム、方法並びにデバイス
WO2017038300A1 (ja) * 2015-09-02 2017-03-09 株式会社日立製作所 超音波撮像装置、画像処理装置、及び方法
US20170337682A1 (en) * 2016-05-18 2017-11-23 Siemens Healthcare Gmbh Method and System for Image Registration Using an Intelligent Artificial Agent
CN107403446A (zh) * 2016-05-18 2017-11-28 西门子保健有限责任公司 用于使用智能人工代理的图像配准的方法和系统
CN106920215A (zh) * 2017-03-06 2017-07-04 长沙全度影像科技有限公司 一种全景图像配准效果的检测方法

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JOSIEN P.W. PLUIM等: ""The truth is hard to make: Validation of medical image registration"", 《2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)》, pages 2294 - 2300 *
谭建豪等: "《数字图像处理与移动机器人路径规划》", 武汉：华中科技大学出版社, pages: 274 - 277 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116580071A (zh) * 2022-01-29 2023-08-11 佳能医疗系统株式会社 医用图像配准方法、医用图像处理装置、存储介质及程序产品

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WO2019166447A1 (en) 2019-09-06
JP2021514767A (ja) 2021-06-17
JP7245256B2 (ja) 2023-03-23
DE112019001097T5 (de) 2021-03-18
US20200410696A1 (en) 2020-12-31
US11380001B2 (en) 2022-07-05

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