CN110506294B - 数字x射线图像中具有低信息内容的区域的探测 - Google Patents

数字x射线图像中具有低信息内容的区域的探测 Download PDF

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Publication number
CN110506294B
CN110506294B CN201880024837.6A CN201880024837A CN110506294B CN 110506294 B CN110506294 B CN 110506294B CN 201880024837 A CN201880024837 A CN 201880024837A CN 110506294 B CN110506294 B CN 110506294B
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image
histogram
range
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interest
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CN110506294A (zh
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M·施吕特
A·戈森
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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
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/40—Image enhancement or restoration using histogram techniques
    • 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
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • 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
    • G06T2207/10116—X-ray 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Processing (AREA)
  • Multimedia (AREA)
CN201880024837.6A 2017-08-02 2018-07-24 数字x射线图像中具有低信息内容的区域的探测 Active CN110506294B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP17184418.6A EP3438928A1 (en) 2017-08-02 2017-08-02 Detection of regions with low information content in digital x-ray images
EP17184418.6 2017-08-02
PCT/EP2018/069959 WO2019025225A1 (en) 2017-08-02 2018-07-24 DETECTION OF LOW-CONTENT INFORMATION REGIONS IN DIGITAL RADIOLOGICAL IMAGES

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CN110506294A CN110506294A (zh) 2019-11-26
CN110506294B true CN110506294B (zh) 2021-01-29

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US (1) US11354806B2 (enExample)
EP (2) EP3438928A1 (enExample)
JP (1) JP6878679B2 (enExample)
CN (1) CN110506294B (enExample)
WO (1) WO2019025225A1 (enExample)

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CN117495750A (zh) * 2022-07-22 2024-02-02 戴尔产品有限公司 用于视频重构的方法、电子设备和计算机程序产品
CN117689961B (zh) * 2024-02-02 2024-05-07 深圳大学 视觉识别模型训练、视觉识别方法、系统、终端及介质

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009110850A1 (en) * 2008-03-03 2009-09-11 Agency For Science, Technology And Research A method and system of segmenting ct scan data
CN101797159A (zh) * 2009-01-16 2010-08-11 通用电气公司 用于x射线图像标识的系统和方法
WO2017098007A1 (en) * 2015-12-10 2017-06-15 Qiagen Gmbh Method for determining the positions of a plurality of objects in a digital image

Family Cites Families (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0642882B2 (ja) * 1987-04-20 1994-06-08 富士写真フイルム株式会社 所望画像信号範囲決定方法
US5262945A (en) * 1991-08-09 1993-11-16 The United States Of America As Represented By The Department Of Health And Human Services Method for quantification of brain volume from magnetic resonance images
US5268967A (en) 1992-06-29 1993-12-07 Eastman Kodak Company Method for automatic foreground and background detection in digital radiographic images
US5606587A (en) 1996-03-21 1997-02-25 Eastman Kodak Company Determination of direct x-ray exposure regions in digital medical imaging
JP3096732B2 (ja) * 1997-12-25 2000-10-10 工業技術院長 画像処理方法、画像処理プログラムを記録したコンピュータ読み取り可能な記録媒体及び画像処理装置
US6112112A (en) * 1998-09-18 2000-08-29 Arch Development Corporation Method and system for the assessment of tumor extent in magnetic resonance images
JP2001160903A (ja) * 1999-12-02 2001-06-12 Nippon Telegr & Teleph Corp <Ntt> 画像補正方法及び装置及びその方法を実行するプログラムを記録した記録媒体
JP2001266142A (ja) * 2000-01-13 2001-09-28 Nikon Corp データ分類方法及びデータ分類装置、信号処理方法及び信号処理装置、位置検出方法及び位置検出装置、画像処理方法及び画像処理装置、露光方法及び露光装置、並びにデバイス製造方法
US7218763B2 (en) * 2003-02-27 2007-05-15 Eastman Kodak Company Method for automated window-level settings for magnetic resonance images
EP1624411A3 (en) 2004-08-06 2006-08-09 Gendex Corporation Soft tissue filtering in medical images
US7840066B1 (en) 2005-11-15 2010-11-23 University Of Tennessee Research Foundation Method of enhancing a digital image by gray-level grouping
SG139602A1 (en) * 2006-08-08 2008-02-29 St Microelectronics Asia Automatic contrast enhancement
US8150110B2 (en) * 2006-11-22 2012-04-03 Carestream Health, Inc. ROI-based rendering for diagnostic image consistency
WO2011110959A1 (en) 2010-03-08 2011-09-15 Koninklijke Philips Electronics N.V. Region of interest definition in cardiac imaging
JP5555672B2 (ja) * 2011-07-14 2014-07-23 東芝テック株式会社 画像処理装置
TW201331796A (zh) * 2012-01-20 2013-08-01 Univ Nat Taipei Technology 能根據環境光線變化來最佳化觸控亮點之多點觸控系統及其方法
US9311740B2 (en) * 2012-03-27 2016-04-12 Carestream Health, Inc. Method for enhancing reconstructed 3-D tomosynthesis volume image
AU2014331153A1 (en) * 2013-10-01 2016-02-25 Ventana Medical Systems, Inc. Line-based image registration and cross-image annotation devices, systems and methods
EP3072082A4 (en) * 2013-11-19 2017-09-13 Vucomp, Inc. Obtaining breast density measurements and classifications
DK3161787T3 (en) * 2014-06-30 2018-08-13 Ventana Med Syst Inc DETECTING EDGE OF A CELL CEREALS USING CAR ANALYSIS
CN107004257B (zh) 2014-11-24 2021-08-03 皇家飞利浦有限公司 通过基于噪声模型的多尺度噪声降低来模拟剂量增加
US10653375B2 (en) 2015-09-01 2020-05-19 Koninklijke Philips N.V. Apparatus for displaying medical image data of a body part
JP6880733B2 (ja) 2016-12-28 2021-06-02 住友電気工業株式会社 光モジュール

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009110850A1 (en) * 2008-03-03 2009-09-11 Agency For Science, Technology And Research A method and system of segmenting ct scan data
CN101797159A (zh) * 2009-01-16 2010-08-11 通用电气公司 用于x射线图像标识的系统和方法
WO2017098007A1 (en) * 2015-12-10 2017-06-15 Qiagen Gmbh Method for determining the positions of a plurality of objects in a digital image

Also Published As

Publication number Publication date
JP6878679B2 (ja) 2021-06-02
WO2019025225A1 (en) 2019-02-07
US20200380686A1 (en) 2020-12-03
EP3577630B1 (en) 2021-02-17
JP2020529253A (ja) 2020-10-08
EP3577630A1 (en) 2019-12-11
CN110506294A (zh) 2019-11-26
EP3438928A1 (en) 2019-02-06
US11354806B2 (en) 2022-06-07

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