CN104106096B - 层析图像中的器官的分类方法 - Google Patents

层析图像中的器官的分类方法 Download PDF

Info

Publication number
CN104106096B
CN104106096B CN201280069463.2A CN201280069463A CN104106096B CN 104106096 B CN104106096 B CN 104106096B CN 201280069463 A CN201280069463 A CN 201280069463A CN 104106096 B CN104106096 B CN 104106096B
Authority
CN
China
Prior art keywords
image
volume
organ
prototype
target image
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
CN201280069463.2A
Other languages
English (en)
Chinese (zh)
Other versions
CN104106096A (zh
Inventor
奥洛夫·达尔奎斯特赖因哈德
马格纳斯·博尔加
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.)
Amura Therapeutics Ltd
Original Assignee
Advanced MR Analytics AB
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 Advanced MR Analytics AB filed Critical Advanced MR Analytics AB
Publication of CN104106096A publication Critical patent/CN104106096A/zh
Application granted granted Critical
Publication of CN104106096B publication Critical patent/CN104106096B/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
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • 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
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]
    • A61B6/037—Emission tomography
    • 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
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5229—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image
    • A61B6/5247—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image combining images from an ionising-radiation diagnostic technique and a non-ionising radiation diagnostic technique, e.g. X-ray and ultrasound
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/174—Segmentation; Edge detection involving the use of two or more images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/337—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving reference images or patches
    • 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
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
    • 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
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • 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
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • 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
    • G06T2207/10072—Tomographic images
    • G06T2207/10104—Positron emission tomography [PET]
    • 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
    • G06T2207/30056—Liver; Hepatic

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Molecular Biology (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Pathology (AREA)
  • Optics & Photonics (AREA)
  • Quality & Reliability (AREA)
  • Pulmonology (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Analysis (AREA)
CN201280069463.2A 2012-02-17 2012-02-17 层析图像中的器官的分类方法 Expired - Fee Related CN104106096B (zh)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/SE2012/050178 WO2013122523A1 (en) 2012-02-17 2012-02-17 Method of classification of organs from a tomographic image

Publications (2)

Publication Number Publication Date
CN104106096A CN104106096A (zh) 2014-10-15
CN104106096B true CN104106096B (zh) 2017-09-22

Family

ID=48984522

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201280069463.2A Expired - Fee Related CN104106096B (zh) 2012-02-17 2012-02-17 层析图像中的器官的分类方法

Country Status (7)

Country Link
US (1) US9818189B2 (enExample)
EP (1) EP2815381B1 (enExample)
CN (1) CN104106096B (enExample)
AU (1) AU2012370343B2 (enExample)
ES (1) ES2605571T3 (enExample)
IN (1) IN2014DN06675A (enExample)
WO (1) WO2013122523A1 (enExample)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10726608B2 (en) 2016-11-23 2020-07-28 3D Systems, Inc. System and method for real-time rendering of complex data
CN107292257A (zh) * 2017-06-14 2017-10-24 深圳先进技术研究院 基于深度学习的身体部位自动识别磁共振扫描方法与装置
US10918885B2 (en) * 2018-09-27 2021-02-16 Varian Medical Systems International Ag Systems, methods and devices for automated target volume generation
EP4107964A1 (en) * 2020-02-20 2022-12-28 Align Technology, Inc. Medical imaging data compression and extraction on client side
ES3029585T3 (en) * 2021-05-11 2025-06-24 Amra Medical Ab Method of quantifying an effective volume of a muscle

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1650801A (zh) * 2004-02-03 2005-08-10 Ge医疗系统环球技术有限公司 磁共振成像方法和磁共振成像系统
CN101727660A (zh) * 2008-11-03 2010-06-09 西门子公司 对根据1点迪克森重构的脂肪和水图像的鲁棒分类
CN101925924A (zh) * 2008-01-24 2010-12-22 皇家飞利浦电子股份有限公司 交互式图像分割
WO2011039515A1 (en) * 2009-09-30 2011-04-07 Imperial Innovations Limited Method and apparatus for processing medical images

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6587702B1 (en) * 1999-01-22 2003-07-01 Instrumentation Metrics, Inc Classification and characterization of tissue through features related to adipose tissue
WO2007054842A1 (en) * 2005-11-09 2007-05-18 Koninklijke Philips Electronics, N.V. Automated stool removal method for medical imaging
US8331637B2 (en) 2006-03-03 2012-12-11 Medic Vision-Brain Technologies Ltd. System and method of automatic prioritization and analysis of medical images
WO2008022210A2 (en) * 2006-08-15 2008-02-21 The Board Of Regents Of The University Of Texas System Methods, compositions and systems for analyzing imaging data
US8041088B2 (en) 2007-02-05 2011-10-18 General Electric Company Brain image alignment method and system
CN101896942B (zh) * 2007-12-14 2014-09-10 皇家飞利浦电子股份有限公司 脑图像数据的图像分析
US8150113B2 (en) 2008-01-23 2012-04-03 Carestream Health, Inc. Method for lung lesion location identification
US20090226057A1 (en) * 2008-03-04 2009-09-10 Adi Mashiach Segmentation device and method
US8787648B2 (en) * 2008-03-07 2014-07-22 Koninklijke Philips N.V. CT surrogate by auto-segmentation of magnetic resonance images
ES2578706T3 (es) 2008-04-17 2016-07-29 Advanced Mr Analytics Ab Mejora de la obtención de imágenes por resonancia magnética en relación a la corrección de artefactos de desplazamiento químico y de inhomogeneidad de intensidad
US8634614B2 (en) * 2008-06-02 2014-01-21 Brainreader Aps System and method for volumetric analysis of medical images
DE102008032006B4 (de) 2008-07-07 2017-01-05 Siemens Healthcare Gmbh Verfahren zur Steurung der Bildaufnahme bei einer Bildaufnahmeeinrichtung, sowie eine Bildaufnahmeeinrichtung
US8385688B2 (en) * 2008-08-27 2013-02-26 International Business Machines Corporation System and method for automatic recognition and labeling of anatomical structures and vessels in medical imaging scans
US8208707B2 (en) 2008-09-02 2012-06-26 General Electric Company Tissue classification in medical images
US8369585B2 (en) 2008-10-17 2013-02-05 Siemens Aktiengesellschaft Automatic classification of information in images
US8774473B2 (en) * 2009-02-25 2014-07-08 Koninklijke Philips N.V. Attenuation correction of MR coils in a hybrid PET/MR system
WO2010148250A2 (en) * 2009-06-17 2010-12-23 Tomotherapy Incorporated System and method of applying anatomically-constrained deformation
US20110081055A1 (en) * 2009-10-02 2011-04-07 Harris Corporation, Corporation Of The State Of Delaware Medical image analysis system using n-way belief propagation for anatomical images subject to deformation and related methods
WO2012012768A1 (en) * 2010-07-23 2012-01-26 Tomotherapy Incorporated System and method for identifying an anatomical organ in a patient

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1650801A (zh) * 2004-02-03 2005-08-10 Ge医疗系统环球技术有限公司 磁共振成像方法和磁共振成像系统
CN101925924A (zh) * 2008-01-24 2010-12-22 皇家飞利浦电子股份有限公司 交互式图像分割
CN101727660A (zh) * 2008-11-03 2010-06-09 西门子公司 对根据1点迪克森重构的脂肪和水图像的鲁棒分类
WO2011039515A1 (en) * 2009-09-30 2011-04-07 Imperial Innovations Limited Method and apparatus for processing medical images

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Quantitative abdominal fat estimation using MRI;OD Leinhard et al.;《International Conference on Pattern Recognition》;20081231;全文 *

Also Published As

Publication number Publication date
AU2012370343A1 (en) 2014-08-28
ES2605571T3 (es) 2017-03-15
IN2014DN06675A (enExample) 2015-05-22
WO2013122523A1 (en) 2013-08-22
CN104106096A (zh) 2014-10-15
US20150125056A1 (en) 2015-05-07
EP2815381A4 (en) 2015-05-13
EP2815381A1 (en) 2014-12-24
US9818189B2 (en) 2017-11-14
EP2815381B1 (en) 2016-09-07
AU2012370343B2 (en) 2017-09-07

Similar Documents

Publication Publication Date Title
Lladó et al. Automated detection of multiple sclerosis lesions in serial brain MRI
Gubern-Mérida et al. Breast segmentation and density estimation in breast MRI: a fully automatic framework
Fripp et al. Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee
Zook et al. Statistical analysis of fractal-based brain tumor detection algorithms
US9675317B2 (en) Interface identification apparatus and method
Ortiz et al. Automatic atlas‐based segmentation of the breast in MRI for 3D breast volume computation
CN109754387A (zh) 医学图像病灶检测定位方法、装置、电子设备及存储介质
US12502146B2 (en) Deep learning network for the analysis of body tissue composition on body-torso-wide CT images
Doel et al. Pulmonary lobe segmentation from CT images using fissureness, airways, vessels and multilevel B-splines
Göçeri et al. Fully automated liver segmentation from SPIR image series
WO2011039515A1 (en) Method and apparatus for processing medical images
El-Baz et al. A new CAD system for early diagnosis of detected lung nodules
CN104106096B (zh) 层析图像中的器官的分类方法
Yap et al. TIMER: Tensor image morphing for elastic registration
Torrado‐Carvajal et al. Multi‐atlas and label fusion approach for patient‐specific MRI based skull estimation
Sun et al. Juxta-vascular nodule segmentation based on flow entropy and geodesic distance
Rogelj et al. Validation of a nonrigid registration algorithm for multimodal data
Fu et al. Automatic segmentation of CT images for ventral body composition analysis
Woźniak et al. 3D vascular tree segmentation using a multiscale vesselness function and a level set approach
Zhang et al. Atlas-driven lung lobe segmentation in volumetric X-ray CT images
Hille et al. Hybrid level-sets for vertebral body segmentation in clinical spine MRI
Yu et al. A hybrid region-boundary model for cerebral cortical segmentation in MRI
Moretti et al. Phantom-based performance evaluation: Application to brain segmentation from magnetic resonance images
Chambers et al. Computer-based assessment for facioscapulohumeral dystrophy diagnosis
Lee et al. Automatic left and right lung separation using free-formed surface fitting on volumetric CT

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP01 Change in the name or title of a patent holder

Address after: Linkping

Patentee after: AMURA THERAPEUTICS LTD.

Address before: Linkping

Patentee before: ADVANCED MR ANALYTICS AB

CP01 Change in the name or title of a patent holder
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20170922

CF01 Termination of patent right due to non-payment of annual fee