ATE453904T1 - Automatische erkennung von präneoplastischen anomalien in anatomischen strukturen auf grundlage einer verbesserten bereichswachstumssegmentation und rechnerprogramm dafür - Google Patents

Automatische erkennung von präneoplastischen anomalien in anatomischen strukturen auf grundlage einer verbesserten bereichswachstumssegmentation und rechnerprogramm dafür

Info

Publication number
ATE453904T1
ATE453904T1 AT06756290T AT06756290T ATE453904T1 AT E453904 T1 ATE453904 T1 AT E453904T1 AT 06756290 T AT06756290 T AT 06756290T AT 06756290 T AT06756290 T AT 06756290T AT E453904 T1 ATE453904 T1 AT E453904T1
Authority
AT
Austria
Prior art keywords
anomalies
growth
region
voxels
interest
Prior art date
Application number
AT06756290T
Other languages
English (en)
Inventor
Silvano Agliozzo
Alberto Bert
Ivan Dmitriev
Original Assignee
Im3D S P A
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Im3D S P A filed Critical Im3D S P A
Application granted granted Critical
Publication of ATE453904T1 publication Critical patent/ATE453904T1/de

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation 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
    • G06V10/267—Segmentation 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06T2207/30028—Colon; Small intestine
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06T2207/30061—Lung
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

Landscapes

  • 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)
  • Saccharide Compounds (AREA)
  • Image Processing (AREA)
AT06756290T 2006-05-15 2006-05-15 Automatische erkennung von präneoplastischen anomalien in anatomischen strukturen auf grundlage einer verbesserten bereichswachstumssegmentation und rechnerprogramm dafür ATE453904T1 (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
ATE453904T1 true ATE453904T1 (de) 2010-01-15

Family

ID=36933511

Family Applications (1)

Application Number Title Priority Date Filing Date
AT06756290T ATE453904T1 (de) 2006-05-15 2006-05-15 Automatische erkennung von präneoplastischen anomalien 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
CN102138159B (zh) * 2008-04-04 2014-03-19 皇家飞利浦电子股份有限公司 满足预定义空间关系的对象的基于模型的同步分割
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
US9996919B2 (en) * 2013-08-01 2018-06-12 Seoul National University R&Db Foundation Method for extracting airways and pulmonary lobes and apparatus therefor
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
CN107077731B (zh) * 2014-10-22 2021-08-03 皇家飞利浦有限公司 成像不确定性的可视化
KR20170007181A (ko) 2015-07-10 2017-01-18 3스캔 인크. 조직학적 염색제의 공간 다중화
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***
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
AU2002356539A1 (en) 2001-10-16 2003-04-28 Abraham Dachman Computer-aided detection of three-dimensional lesions
US7570802B2 (en) * 2001-12-27 2009-08-04 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
US7596267B2 (en) * 2003-02-28 2009-09-29 Cedara Software Corp. Image region segmentation system and method
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
EP2027566A1 (de) 2009-02-25
US8111896B2 (en) 2012-02-07
CN101484916A (zh) 2009-07-15
US20090175527A1 (en) 2009-07-09
EP2027566B1 (de) 2009-12-30
DE602006011511D1 (de) 2010-02-11
WO2007132487A1 (en) 2007-11-22

Similar Documents

Publication Publication Date Title
ATE453904T1 (de) Automatische erkennung von präneoplastischen anomalien in anatomischen strukturen auf grundlage einer verbesserten bereichswachstumssegmentation und rechnerprogramm dafür
CN101826209B (zh) 一种基于Canny模型的三维医学图像分割方法
Sinha et al. Efficient segmentation methods for tumor detection in MRI images
CN101576997B (zh) 基于二次三维区域生长的腹部器官分割方法
CN103870834B (zh) 基于分层分割的滑动窗搜索方法
WO2007110820A3 (en) Process and system for automatically recognising preneoplastic abnormalities in anatomical structures, and corresponding computer program
CN112001218A (zh) 一种基于卷积神经网络的三维颗粒类别检测方法及***
Ryou et al. Automated 3D ultrasound biometry planes extraction for first trimester fetal assessment
Kowal et al. The feature selection problem in computer–assisted cytology
Moitra et al. Review of brain tumor detection using pattern recognition techniques
CN113096184A (zh) 一种复杂背景下硅藻定位与识别方法
KR101078756B1 (ko) 디지털 유방 ｘ-선 영상에서 미세석회화 군집 검출 방법
CN106570880B (zh) 结合模糊聚类和马尔科夫随机场的脑组织mri图像分割方法
CN113191393A (zh) 基于多模态融合的对比增强能谱乳腺摄影分类方法及***
Ma et al. Efficient small object detection with an improved region proposal networks
CN103366183B (zh) 一种局灶性病灶的非参数自动检测方法
Elmorsy et al. K3. A region growing liver segmentation method with advanced morphological enhancement
Saha et al. A review on various image segmentation techniques for brain tumor detection
Hassan et al. Medical image segmentation for liver diseases: a survey
Gopika et al. Hybrid approach for the brain tumors detection & segmentation using artificial bee colony optimization with FCM
Khadangi et al. Automated framework to reconstruct 3D model of cardiac Z-disk: an image processing approach
Gu et al. Study on breast mass segmentation in mammograms
Lin et al. Assessment of breast cancer mesenchymal tumor infiltrating lymphocytes based on regional segmentation and nuclear segmentation classification
Saranyaraj et al. Medical image processing to detect breast cancer—A cognitive-based investigation
Ravishankar et al. Four novel approaches for detection of region of interest in mammograms—A comparative study

Legal Events

Date Code Title Description
RER Ceased as to paragraph 5 lit. 3 law introducing patent treaties