JP7332254B2 - ボクセル最頻値に基づく閾値から関心領域を生成するためのシステム、方法、及び装置 - Google Patents

ボクセル最頻値に基づく閾値から関心領域を生成するためのシステム、方法、及び装置 Download PDF

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JP7332254B2
JP7332254B2 JP2020564177A JP2020564177A JP7332254B2 JP 7332254 B2 JP7332254 B2 JP 7332254B2 JP 2020564177 A JP2020564177 A JP 2020564177A JP 2020564177 A JP2020564177 A JP 2020564177A JP 7332254 B2 JP7332254 B2 JP 7332254B2
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JP2022519792A5 (https=
JP2022519792A (ja
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ブリューゲル ヨハンナ ファン
アーロン アバジエン
ジョン トレーヤール
スザンヌ スモルカ
ジュリアス チャピロ
ジェームス ダンカン
ミンデ リン
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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
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4869—Determining body composition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—Three-dimensional [3D] image rendering
    • G06T15/08—Volume rendering
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2576/00—Medical imaging apparatus involving image processing or analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0075—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]
    • A61B6/032—Transmission computed tomography [CT]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/48—Diagnostic techniques
    • A61B6/481—Diagnostic techniques involving the use of contrast agents
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48—Diagnostic techniques
    • A61B8/481—Diagnostic techniques involving the use of contrast agents, e.g. microbubbles introduced into the bloodstream
    • 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
    • G06T2207/30096—Tumor; Lesion

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
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  • Animal Behavior & Ethology (AREA)
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  • Heart & Thoracic Surgery (AREA)
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  • Molecular Biology (AREA)
  • Pathology (AREA)
  • Biophysics (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)
JP2020564177A 2018-05-14 2019-05-08 ボクセル最頻値に基づく閾値から関心領域を生成するためのシステム、方法、及び装置 Active JP7332254B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US15/978,904 2018-05-14
US15/978,904 US10832403B2 (en) 2018-05-14 2018-05-14 Systems, methods, and apparatuses for generating regions of interest from voxel mode based thresholds
PCT/EP2019/061755 WO2019219458A1 (en) 2018-05-14 2019-05-08 Systems, methods, and apparatuses for generating regions of interest from voxel mode based thresholds

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JP2022519792A JP2022519792A (ja) 2022-03-25
JP2022519792A5 JP2022519792A5 (https=) 2022-08-18
JP7332254B2 true JP7332254B2 (ja) 2023-08-23

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US (1) US10832403B2 (https=)
EP (1) EP3794606B1 (https=)
JP (1) JP7332254B2 (https=)
CN (1) CN112368777B (https=)
WO (1) WO2019219458A1 (https=)

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US20220284643A1 (en) * 2021-02-26 2022-09-08 Washington University Methods of estimation-based segmentation and transmission-less attenuation and scatter compensation in nuclear medicine imaging
US11995831B2 (en) 2021-04-09 2024-05-28 Wisconsin Alumni Research Foundation Method and apparatus for optimizing the use of contrast agents during medical imaging

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002345807A (ja) 2001-05-22 2002-12-03 Azemoto Shiyougo 医療用画像の領域抽出方法
JP2008509710A (ja) 2004-02-06 2008-04-03 ウェイク・フォレスト・ユニヴァーシティ・ヘルス・サーヴィシズ 非侵襲的イメージングのグローバル組織特性を用いた組織評価および画像のグローバル組織特性を決定するシステム
US20090175527A1 (en) 2006-05-15 2009-07-09 Im3D, S.P.A. Method and system for automatic recognition of preneoplastic anomalies in anatomic structures based on an improved region-growing segmentation, and computer program therefor
JP2014036855A (ja) 2012-08-16 2014-02-27 Toshiba Corp 磁気共鳴イメージング装置
JP2015123302A (ja) 2013-12-27 2015-07-06 株式会社東芝 医用画像診断装置及び画像処理装置
US20160300359A1 (en) 2013-11-05 2016-10-13 Brainlab Ag Determination of Enhancing Structures in an Anatomical Body Part
JP2017505172A (ja) 2014-01-24 2017-02-16 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 子宮筋腫の三次元定量的評価のためのシステム及び方法
US20170071496A1 (en) 2014-03-10 2017-03-16 H. Lee Moffitt Cancer Center And Research Institute, Inc. Radiologically identified tumor habitats

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020186874A1 (en) * 1994-09-07 2002-12-12 Jeffrey H. Price Method and means for image segmentation in fluorescence scanning cytometry
US7558611B2 (en) * 2001-11-24 2009-07-07 Image Analysis, Inc. Automatic detection and quantification of coronary and aortic calcium
WO2007047915A2 (en) 2005-10-18 2007-04-26 3Tp Llc Automated pre-selection of voxels for dynamic contrast enhanced mri and ct
EP2287807A1 (en) * 2009-07-21 2011-02-23 Nikon Corporation Image processing device, image processing program, and imaging device
US8848998B1 (en) 2010-06-10 2014-09-30 Icad, Inc. Automated method for contrast media arrival detection for dynamic contrast enhanced MRI
US9095273B2 (en) * 2011-09-26 2015-08-04 Sunnybrook Research Institute Systems and methods for automated dynamic contrast enhancement imaging
US9256927B2 (en) * 2012-07-06 2016-02-09 Yissum Research Development Companyof The Hebrew University of Jerusalem Ltd. Method and apparatus for enhancing a digital photographic image
EP3146505B1 (en) * 2014-05-19 2019-08-07 Koninklijke Philips N.V. Visualization of tissue of interest in contrast-enhanced image data
WO2016060611A1 (en) * 2014-10-13 2016-04-21 Agency For Science, Technology And Research Automatic region-of-interest segmentation and registration of dynamic contrast-enhanced images of colorectal tumors
US9962086B2 (en) 2015-03-31 2018-05-08 Toshiba Medical Systems Corporation Medical image data processing apparatus and method for determining the presence of an abnormality
US10453195B2 (en) * 2016-08-19 2019-10-22 Optrascan, Inc. Method of detecting tissue area of interest in digital pathology imaging by executing computer-executable instructions stored on a non-transitory computer-readable medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002345807A (ja) 2001-05-22 2002-12-03 Azemoto Shiyougo 医療用画像の領域抽出方法
JP2008509710A (ja) 2004-02-06 2008-04-03 ウェイク・フォレスト・ユニヴァーシティ・ヘルス・サーヴィシズ 非侵襲的イメージングのグローバル組織特性を用いた組織評価および画像のグローバル組織特性を決定するシステム
US20090175527A1 (en) 2006-05-15 2009-07-09 Im3D, S.P.A. Method and system for automatic recognition of preneoplastic anomalies in anatomic structures based on an improved region-growing segmentation, and computer program therefor
JP2014036855A (ja) 2012-08-16 2014-02-27 Toshiba Corp 磁気共鳴イメージング装置
US20160300359A1 (en) 2013-11-05 2016-10-13 Brainlab Ag Determination of Enhancing Structures in an Anatomical Body Part
JP2015123302A (ja) 2013-12-27 2015-07-06 株式会社東芝 医用画像診断装置及び画像処理装置
JP2017505172A (ja) 2014-01-24 2017-02-16 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 子宮筋腫の三次元定量的評価のためのシステム及び方法
US20170071496A1 (en) 2014-03-10 2017-03-16 H. Lee Moffitt Cancer Center And Research Institute, Inc. Radiologically identified tumor habitats

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
ABAJIAN Arron, et al.，Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept，J Vasc Interv Radiol，2018年，No. 6，p. 850-857，[検索日：2023.02.16], <DOI: 10.1016/j.jvir.2018.01.769>, <HTTP: https://pubmed.ncbi.nlm.nih.gov/29548875/>
DANIEL, P. Ratna Raju et al.，Image Segmentation by using Histogram Thresholding，INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING AND TECHNOLOGY，2012年，Vol. 2, No. 1，p. 776-779，[検索日：2023.02.16], <HTTP: https://ijcset.net/docs/Volumes/volume2issue1/ijcset2012020103.pdf>
SAHU Sonia, et al.，Imaging Biomarkers of Tumor Response in Neuroendocrine Liver Metastases Treated with Transarterial Chemoembolization: Can Enhancing Tumor Burden of the Whole Liver Help Predict Patient Survival?，Radiology，2016年，Vol. 286, No. 3，p. 883-894，[検索日：2023.02.16], <DOI: 10.1148/radiol.2016160838>, <HTTP: https://pubmed.ncbi.nlm.nih.gov/27831830/>
SEZGIN Mehmet, et al.，Survey over image thresholding techniques and quantitative performance evaluation，Journal of Electronic Imaging，2004年，Vol. 13, No. 1，p. 146-165，[検索日：2023.02.16], <DOI: 10.1117/1.1631315>，<HTTP: https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/volume-13/issue-01/0000/Survey-over-image-thresholding-techniques-and-quantitative-performance-evaluation/10.1117/1.1631315.full?SSO=1>

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Publication number Publication date
WO2019219458A1 (en) 2019-11-21
US10832403B2 (en) 2020-11-10
JP2022519792A (ja) 2022-03-25
EP3794606B1 (en) 2024-07-10
CN112368777A (zh) 2021-02-12
CN112368777B (zh) 2023-10-10
US20190347788A1 (en) 2019-11-14
EP3794606A1 (en) 2021-03-24

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