DE602006011511D1 - Lien in anatomischen strukturen auf grundlage einer verbesserten bereichswachstumssegmentation und rechnerprogramm dafür - Google Patents

Lien in anatomischen strukturen auf grundlage einer verbesserten bereichswachstumssegmentation und rechnerprogramm dafür

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Publication number
DE602006011511D1
DE602006011511D1 DE602006011511T DE602006011511T DE602006011511D1 DE 602006011511 D1 DE602006011511 D1 DE 602006011511D1 DE 602006011511 T DE602006011511 T DE 602006011511T DE 602006011511 T DE602006011511 T DE 602006011511T DE 602006011511 D1 DE602006011511 D1 DE 602006011511D1
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growth
region
anomalies
voxels
interest
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Inventor
Silvano Agliozzo
Alberto Bert
Ivan Dmitriev
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30028Colon; Small intestine
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30061Lung
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03Recognition of patterns in medical or anatomical images

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Multimedia (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Processing (AREA)
  • Saccharide Compounds (AREA)
DE602006011511T 2006-05-15 2006-05-15 Lien in anatomischen strukturen auf grundlage einer verbesserten bereichswachstumssegmentation und rechnerprogramm dafür Active DE602006011511D1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/IT2006/000358 WO2007132487A1 (en) 2006-05-15 2006-05-15 Method and system for automatic recognition of preneoplastic anomalies in anatomic structures based on an improved region-growing segmentation, and computer program therefor

Publications (1)

Publication Number Publication Date
DE602006011511D1 true DE602006011511D1 (de) 2010-02-11

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ID=36933511

Family Applications (1)

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DE602006011511T Active DE602006011511D1 (de) 2006-05-15 2006-05-15 Lien in anatomischen strukturen auf grundlage einer verbesserten bereichswachstumssegmentation und rechnerprogramm dafür

Country Status (6)

Country Link
US (1) US8111896B2 (de)
EP (1) EP2027566B1 (de)
CN (1) CN101484916A (de)
AT (1) ATE453904T1 (de)
DE (1) DE602006011511D1 (de)
WO (1) WO2007132487A1 (de)

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7936922B2 (en) * 2006-11-22 2011-05-03 Adobe Systems Incorporated Method and apparatus for segmenting images
JP5106928B2 (ja) * 2007-06-14 2012-12-26 オリンパス株式会社 画像処理装置および画像処理プログラム
US8023734B2 (en) * 2007-10-10 2011-09-20 Siemens Aktiengesellschaft 3D general lesion segmentation in CT
US20090136096A1 (en) * 2007-11-23 2009-05-28 General Electric Company Systems, methods and apparatus for segmentation of data involving a hierarchical mesh
RU2505860C2 (ru) * 2008-04-04 2014-01-27 Конинклейке Филипс Электроникс Н.В. Одновременная основанная на модели сегментация объектов, удовлетворяющих заранее заданным пространственным соотношениям
US20110206250A1 (en) * 2010-02-24 2011-08-25 Icad, Inc. Systems, computer-readable media, and methods for the classification of anomalies in virtual colonography medical image processing
US8929624B2 (en) * 2010-11-26 2015-01-06 General Electric Company Systems and methods for comparing different medical images to analyze a structure-of-interest
US10109065B2 (en) * 2011-01-25 2018-10-23 Qualcomm Incorporated Using occlusions to detect and track three-dimensional objects
US9523772B2 (en) 2013-06-14 2016-12-20 Microsoft Technology Licensing, Llc Object removal using lidar-based classification
US9110163B2 (en) * 2013-06-14 2015-08-18 Microsoft Technology Licensing, Llc Lidar-based classification of object movement
WO2015016481A1 (ko) * 2013-08-01 2015-02-05 서울대학교 산학협력단 기도와 폐엽을 추출하는 방법 및 그 장치
CN103514601B (zh) * 2013-09-18 2016-09-14 中国人民解放军第四军医大学 薄层扫描的影像数据中结肠平坦型病灶三维区域数据提取方法
US10275946B2 (en) * 2014-10-22 2019-04-30 Koninklijke Philips N.V. Visualization of imaging uncertainty
JP6841609B2 (ja) 2015-07-10 2021-03-10 3スキャン インコーポレイテッド 組織学的染色の空間的多重化
EP3627442A4 (de) 2017-05-31 2020-05-20 Shanghai United Imaging Healthcare Co., Ltd. Verfahren und system zur bildverarbeitung
CN107194925A (zh) * 2017-05-31 2017-09-22 上海联影医疗科技有限公司 图像处理方法及系统
US10832403B2 (en) * 2018-05-14 2020-11-10 Koninklijke Philips N.V. Systems, methods, and apparatuses for generating regions of interest from voxel mode based thresholds
FR3082650B1 (fr) * 2018-06-19 2021-08-27 Hera Mi Systeme et procede pour le traitement d'au moins une region polluante d'une image numerique d'un element expose a des rayons x
CN109801271B (zh) * 2019-01-04 2021-11-23 上海联影医疗科技股份有限公司 钙化簇的定位方法、装置、计算机设备以及存储介质
CN112784923A (zh) * 2021-02-07 2021-05-11 重庆渝抗医药科技有限公司 大数据环境下医疗异常影像的分类方法

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5920319A (en) * 1994-10-27 1999-07-06 Wake Forest University Automatic analysis in virtual endoscopy
US6246784B1 (en) * 1997-08-19 2001-06-12 The United States Of America As Represented By The Department Of Health And Human Services Method for segmenting medical images and detecting surface anomalies in anatomical structures
JP2005506140A (ja) * 2001-10-16 2005-03-03 ザ・ユニバーシティー・オブ・シカゴ コンピュータ支援の3次元病変検出方法
WO2003058553A2 (en) * 2001-12-27 2003-07-17 The Government Of The United States Of America, As Represented By The Secretary Of The Department Of Health And Human Services Automated centerline detection algorithm for colon-like 3d surfaces
JP4499090B2 (ja) * 2003-02-28 2010-07-07 セダラ ソフトウェア コーポレイション 画像領域セグメント化システムおよびその方法
US7676257B2 (en) * 2003-11-25 2010-03-09 General Electric Company Method and apparatus for segmenting structure in CT angiography

Also Published As

Publication number Publication date
EP2027566B1 (de) 2009-12-30
ATE453904T1 (de) 2010-01-15
WO2007132487A1 (en) 2007-11-22
US20090175527A1 (en) 2009-07-09
EP2027566A1 (de) 2009-02-25
CN101484916A (zh) 2009-07-15
US8111896B2 (en) 2012-02-07

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