CN103180878B - 用于医学图像的分割的系统 - Google Patents

用于医学图像的分割的系统 Download PDF

Info

Publication number
CN103180878B
CN103180878B CN201180051401.4A CN201180051401A CN103180878B CN 103180878 B CN103180878 B CN 103180878B CN 201180051401 A CN201180051401 A CN 201180051401A CN 103180878 B CN103180878 B CN 103180878B
Authority
CN
China
Prior art keywords
medical image
segmentation
image
medical
classification
Prior art date
Legal status (The legal status 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 status listed.)
Expired - Fee Related
Application number
CN201180051401.4A
Other languages
English (en)
Chinese (zh)
Other versions
CN103180878A (zh
Inventor
S·德维韦迪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips Electronics NV
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 Koninklijke Philips Electronics NV filed Critical Koninklijke Philips Electronics NV
Publication of CN103180878A publication Critical patent/CN103180878A/zh
Application granted granted Critical
Publication of CN103180878B publication Critical patent/CN103180878B/zh
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • 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
    • G06T2207/10004—Still image; Photographic 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Nuclear Medicine (AREA)
CN201180051401.4A 2010-10-25 2011-10-17 用于医学图像的分割的系统 Expired - Fee Related CN103180878B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP10188714.9 2010-10-25
EP10188714 2010-10-25
PCT/IB2011/054584 WO2012056362A1 (en) 2010-10-25 2011-10-17 System for the segmentation of a medical image

Publications (2)

Publication Number Publication Date
CN103180878A CN103180878A (zh) 2013-06-26
CN103180878B true CN103180878B (zh) 2017-03-22

Family

ID=44925592

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201180051401.4A Expired - Fee Related CN103180878B (zh) 2010-10-25 2011-10-17 用于医学图像的分割的系统

Country Status (7)

Country Link
US (1) US20130208964A1 (cg-RX-API-DMAC10.html)
EP (1) EP2633495A1 (cg-RX-API-DMAC10.html)
JP (1) JP5919287B2 (cg-RX-API-DMAC10.html)
CN (1) CN103180878B (cg-RX-API-DMAC10.html)
BR (1) BR112013009801A2 (cg-RX-API-DMAC10.html)
RU (1) RU2013124021A (cg-RX-API-DMAC10.html)
WO (1) WO2012056362A1 (cg-RX-API-DMAC10.html)

Families Citing this family (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9697598B2 (en) * 2012-11-23 2017-07-04 Koninklijke Philips N.V. Generating a key-image from a medical image
US9761006B2 (en) * 2013-06-28 2017-09-12 Koninklijke Philips N.V. Methods of utilizing image noise information
US10002420B2 (en) * 2013-12-04 2018-06-19 Koninklijke Philips N.V. Model-based segmentation of an anatomical structure
CN104702982B (zh) * 2013-12-20 2018-01-05 杭州海康威视数字技术股份有限公司 一种视频分析设备的算法配置方法和系统
US10255661B2 (en) * 2014-06-11 2019-04-09 Canon Kabushiki Kaisha Object information acquiring apparatus and image processing method
CN104392436B (zh) * 2014-11-11 2019-01-04 莱芜钢铁集团有限公司 一种遥感图像处理方法及装置
EP3142070A1 (en) * 2015-09-10 2017-03-15 Agfa HealthCare Method, apparatus and system for segmentation of anatomical structures in medical images
RU2752690C2 (ru) * 2016-06-29 2021-07-29 Конинклейке Филипс Н.В. Обнаружение изменений на медицинских изображениях
US9965863B2 (en) * 2016-08-26 2018-05-08 Elekta, Inc. System and methods for image segmentation using convolutional neural network
WO2018048507A1 (en) 2016-09-06 2018-03-15 Han Xiao Neural network for generating synthetic medical images
CN110023995B (zh) 2016-11-29 2023-10-03 皇家飞利浦有限公司 用于心脏运动校正的心脏分割方法
CN106777999A (zh) * 2016-12-26 2017-05-31 上海联影医疗科技有限公司 图像处理方法、系统和装置
CN107492099B (zh) * 2017-08-28 2021-08-20 京东方科技集团股份有限公司 医学图像分析方法、医学图像分析系统以及存储介质
JP7061671B2 (ja) * 2017-09-12 2022-04-28 ナントミクス，エルエルシー デジタル画像の対象領域の少なくとも１つの形状を生成する方法および装置ならびに機械学習システムを訓練するための訓練データを生成する方法
CN108765430B (zh) * 2018-05-24 2022-04-08 西安思源学院 一种基于心脏ct图像和机器学习的心脏左腔区域分割方法
WO2020110775A1 (ja) 2018-11-30 2020-06-04 富士フイルム株式会社 画像処理装置、画像処理方法、及びプログラム
WO2020195877A1 (ja) * 2019-03-25 2020-10-01 ソニー株式会社 医療システム、信号処理装置、及び、信号処理方法
CN113160116B (zh) * 2021-02-03 2022-12-27 中南民族大学 左心室内外膜自动分割方法、系统及设备
CN114092489B (zh) * 2021-11-02 2023-08-29 清华大学 多孔介质渗流通道提取、模型训练方法、装置及设备
CN115423800A (zh) * 2022-09-27 2022-12-02 盛恩(北京)医药科技有限公司 一种医疗影像数据的处理方法及系统
CN116883760A (zh) * 2023-07-28 2023-10-13 北京理工大学 一种医学图像的分类和分割方法和系统

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5072384A (en) * 1988-11-23 1991-12-10 Arch Development Corp. Method and system for automated computerized analysis of sizes of hearts and lungs in digital chest radiographs

Family Cites Families (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS58211272A (ja) * 1982-06-02 1983-12-08 Hitachi Ltd 閾値決定法
JP3172799B2 (ja) * 1991-01-28 2001-06-04 コニカ株式会社 胸部放射線画像の画像処理装置
US5984870A (en) * 1997-07-25 1999-11-16 Arch Development Corporation Method and system for the automated analysis of lesions in ultrasound images
US6282307B1 (en) * 1998-02-23 2001-08-28 Arch Development Corporation Method and system for the automated delineation of lung regions and costophrenic angles in chest radiographs
US6591004B1 (en) * 1998-09-21 2003-07-08 Washington University Sure-fit: an automated method for modeling the shape of cerebral cortex and other complex structures using customized filters and transformations
US7050646B2 (en) * 1999-12-10 2006-05-23 British Telecommunications Public Limited Company Image processing system and method for image segmentation using intensity contrast and depth contrast values
US6694046B2 (en) * 2001-03-28 2004-02-17 Arch Development Corporation Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images
US7421100B2 (en) * 2002-04-26 2008-09-02 Koninklijke Philips Electronics N.V. Method, computer program and system of visualizing image data
WO2004077359A1 (en) * 2003-02-27 2004-09-10 Agency For Science, Technology And Research Method and apparatus for extracting cerebral ventricular system from images
EP1611548A1 (en) 2003-03-27 2006-01-04 Koninklijke Philips Electronics N.V. Medical imaging system and a method for segmenting an object of interest.
US7634133B2 (en) * 2004-03-04 2009-12-15 Siemens Medical Solutions Usa, Inc. Segmentation of structures based on curvature slope
WO2006010372A1 (de) * 2004-07-27 2006-02-02 Dürr Dental GmbH & Co. KG Verfahren und vorrichtung zur verbesserung der erkennbarkeit von unterschiedlichen strukturen auf durchstrahlungsbildern
JP4505805B2 (ja) * 2004-08-02 2010-07-21 横河電機株式会社 領域抽出方法およびその装置
US20080292194A1 (en) * 2005-04-27 2008-11-27 Mark Schmidt Method and System for Automatic Detection and Segmentation of Tumors and Associated Edema (Swelling) in Magnetic Resonance (Mri) Images
US20090092297A1 (en) * 2005-07-19 2009-04-09 Konica Minolta Holdings, Inc. Image processing apparatus, image processing system and image processing program
US7738683B2 (en) * 2005-07-22 2010-06-15 Carestream Health, Inc. Abnormality detection in medical images
JP4999163B2 (ja) * 2006-04-17 2012-08-15 富士フイルム株式会社 画像処理方法および装置ならびにプログラム
US20080112614A1 (en) * 2006-11-14 2008-05-15 Siemens Corporate Research, Inc. Histogram tile map for gpu based histogram computation
US7953265B2 (en) * 2006-11-22 2011-05-31 General Electric Company Method and system for automatic algorithm selection for segmenting lesions on pet images
JP5192751B2 (ja) * 2007-08-10 2013-05-08 富士フイルム株式会社 画像処理装置、画像処理方法、および画像処理プログラム
WO2009029810A1 (en) * 2007-08-31 2009-03-05 Historx, Inc. Automatic exposure time selection for imaging tissue
US8120679B2 (en) * 2008-08-01 2012-02-21 Nikon Corporation Image processing method
WO2010151229A1 (en) * 2009-06-23 2010-12-29 Agency For Science, Technology And Research A method and system for segmenting a brain image
US8848998B1 (en) * 2010-06-10 2014-09-30 Icad, Inc. Automated method for contrast media arrival detection for dynamic contrast enhanced MRI

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5072384A (en) * 1988-11-23 1991-12-10 Arch Development Corp. Method and system for automated computerized analysis of sizes of hearts and lungs in digital chest radiographs

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
An architecture for a CBR image segmentation system;Petra Perner;《Engineering Applications of Artificial Intelligence》;19991231;第12卷(第6期);749–759 *

Also Published As

Publication number Publication date
US20130208964A1 (en) 2013-08-15
WO2012056362A1 (en) 2012-05-03
JP2014502169A (ja) 2014-01-30
CN103180878A (zh) 2013-06-26
BR112013009801A2 (pt) 2016-07-26
EP2633495A1 (en) 2013-09-04
RU2013124021A (ru) 2014-12-10
JP5919287B2 (ja) 2016-05-18

Similar Documents

Publication Publication Date Title
JP5919287B2 (ja) 医用画像のセグメンテーションのためのシステム
Prabukumar et al. An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier
Dora et al. State-of-the-art methods for brain tissue segmentation: A review
Moftah et al. Adaptive k-means clustering algorithm for MR breast image segmentation
JP5893623B2 (ja) データ・セットにおける異常検出方法およびシステム
US8175351B2 (en) Computer-aided detection and classification of suspicious masses in breast imagery
US9230320B2 (en) Computer aided diagnostic system incorporating shape analysis for diagnosing malignant lung nodules
RU2449371C2 (ru) Устойчивая к ошибкам функциональная визуализация
JP2011526508A (ja) 医療用画像の領域分割
Caballo et al. An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images
EP2208183B1 (en) Computer-aided detection (cad) of a disease
Rani et al. Superpixel with nanoscale imaging and boosted deep convolutional neural network concept for lung tumor classification
JP6415878B2 (ja) 画像処理装置、画像処理方法及び医用画像診断装置
US20210065361A1 (en) Determining regions of hyperdense lung tissue in an image of a lung
JP2019518288A (ja) 医療画像における変化検出
CN108885786B (zh) 医学图像处理
Gupta et al. Automatic segmentation of cerebrospinal fluid, white and gray matter in unenhanced computed tomography images
Latif et al. Improving brain MR image classification for tumor segmentation using phase congruency
Chama et al. Automated lung field segmentation in CT images using mean shift clustering and geometrical features
Anwar et al. Segmentation of liver tumor for computer aided diagnosis
Georgieva et al. Multistage approach for simple kidney cysts segmentation in ct images
JP2004248817A (ja) 異常陰影検出方法および装置並びにプログラム
Chidadala et al. Automatic seeded selection region growing algorithm for effective MRI brain image segmentation and classification
Kaftan et al. Locally adaptive fuzzy pulmonary vessel segmentation in contrast enhanced CT data
Sarala et al. Advancements in Deep Learning for Medical Image Segmentation: A Comprehensive Review of Techniques across Organs and Modalities

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20170322