HUE035842T2 - Knowledge-based segmentation of weakening-relevant regions of the head - Google Patents

Knowledge-based segmentation of weakening-relevant regions of the head Download PDF

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Publication number
HUE035842T2
HUE035842T2 HUE10724535A HUE10724535A HUE035842T2 HU E035842 T2 HUE035842 T2 HU E035842T2 HU E10724535 A HUE10724535 A HU E10724535A HU E10724535 A HUE10724535 A HU E10724535A HU E035842 T2 HUE035842 T2 HU E035842T2
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HU
Hungary
Prior art keywords
class
area
attenuation
voxels
region
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HUE10724535A
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English (en)
Hungarian (hu)
Inventor
Gudrun Wagenknecht
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Forschungszentrum Juelich Gmbh
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Publication date
Application filed by Forschungszentrum Juelich Gmbh filed Critical Forschungszentrum Juelich Gmbh
Publication of HUE035842T2 publication Critical patent/HUE035842T2/en

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    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T12/00—Tomographic reconstruction from projections
    • G06T12/10—Image preprocessing, e.g. calibration, positioning of sources or scatter correction
    • 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
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/4808—Multimodal MR, e.g. MR combined with positron emission tomography [PET], MR combined with ultrasound or MR combined with computed tomography [CT]
    • G01R33/481—MR combined with positron emission tomography [PET] or single photon emission computed tomography [SPECT]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/5608—Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels
    • 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
    • G06T2207/30016—Brain

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biomedical Technology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Optics & Photonics (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Biophysics (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
  • Nuclear Medicine (AREA)
HUE10724535A 2009-07-03 2010-06-22 Knowledge-based segmentation of weakening-relevant regions of the head HUE035842T2 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102009027448A DE102009027448A1 (de) 2009-07-03 2009-07-03 Wissensbasierte Segmentierung schwächungsrelevanter Regionen des Kopfes

Publications (1)

Publication Number Publication Date
HUE035842T2 true HUE035842T2 (en) 2018-05-28

Family

ID=42313930

Family Applications (1)

Application Number Title Priority Date Filing Date
HUE10724535A HUE035842T2 (en) 2009-07-03 2010-06-22 Knowledge-based segmentation of weakening-relevant regions of the head

Country Status (6)

Country Link
US (1) US8761482B2 (https=)
EP (1) EP2449528B1 (https=)
JP (1) JP5840125B2 (https=)
DE (1) DE102009027448A1 (https=)
HU (1) HUE035842T2 (https=)
WO (1) WO2011000739A1 (https=)

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102009027448A1 (de) * 2009-07-03 2011-01-05 Forschungszentrum Jülich GmbH Wissensbasierte Segmentierung schwächungsrelevanter Regionen des Kopfes
US10267882B2 (en) * 2010-10-13 2019-04-23 Toshiba Medical Systems Corporation MRI T1 image-guided tissue diagnostics
US9342903B2 (en) 2012-03-28 2016-05-17 National Institute Of Radiological Services Method for generating image for PET attenuation correction from MR image and computer program
EP2948047B1 (en) * 2013-01-24 2021-03-03 Tylerton International Holdings Inc. Body structure imaging system and method for locating ganglion plexi
US9836879B2 (en) * 2013-04-16 2017-12-05 Autodesk, Inc. Mesh skinning technique
US20160220835A1 (en) 2013-09-08 2016-08-04 Tylerton International Inc. Apparatus and methods for diagnosis and treatment of patterns of nervous system activity affecting disease
US10074173B2 (en) 2013-12-06 2018-09-11 The Johns Hopkins University Methods and systems for analyzing anatomy from multiple granularity levels
US10646183B2 (en) 2014-01-10 2020-05-12 Tylerton International Inc. Detection of scar and fibrous cardiac zones
US10064589B2 (en) * 2014-06-27 2018-09-04 General Electric Company Method, apparatus, and article for pet attenuation correction utilizing MRI
WO2016016837A1 (en) 2014-07-30 2016-02-04 Navix International Limited Probe localization
KR102207824B1 (ko) * 2019-03-05 2021-01-26 뉴로핏 주식회사 뇌 구조를 이용한 뇌 영상 보정 방법 및 장치
KR102298253B1 (ko) * 2019-03-05 2021-09-06 뉴로핏 주식회사 뇌 구조를 이용한 뇌 영상 보정 방법 및 장치
KR102298249B1 (ko) * 2019-03-05 2021-09-06 뉴로핏 주식회사 뇌 구조를 이용한 뇌 영상 보정 방법 및 장치
JP2021145881A (ja) * 2020-03-18 2021-09-27 国立大学法人福井大学 画像処理方法、画像合成方法、データの取得方法、学習モデルの生成方法、鼻および副鼻腔疾患の診断支援システム、並びに鼻および副鼻腔疾患の診断支援方法
US11701067B2 (en) * 2021-09-08 2023-07-18 Siemens Medical Solutions Usa, Inc. Attenuation correction-based weighting for tomographic inconsistency detection
CN116485819B (zh) * 2023-06-21 2023-09-01 青岛大学附属医院 一种耳鼻喉检查图像分割方法及系统

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6430430B1 (en) * 1999-04-29 2002-08-06 University Of South Florida Method and system for knowledge guided hyperintensity detection and volumetric measurement
US6567684B1 (en) * 2000-11-08 2003-05-20 Regents Of The University Of Michigan Imaging system, computer, program product and method for detecting changes in rates of water diffusion in a tissue using magnetic resonance imaging (MRI)
AU2006261150A1 (en) * 2005-06-16 2006-12-28 Michael J. Russell Guided electrical transcranial stimulation (gets) technique
DE102006033383A1 (de) 2006-07-12 2008-01-17 Eberhard-Karls-Universität Tübingen Universitätsklinikum Verfahren zum Bestimmen einer Eigenschaftskarte für einen Gegenstand, insbesondere für ein Lebewesen, basierend auf zumindest einem ersten Bild, insbesondere Kernspinresonanzbild
US20080135769A1 (en) * 2006-11-22 2008-06-12 Rosen Bruce R Attenuation correction of pet image using image data acquired with an mri system
CN101742963B (zh) * 2007-06-29 2012-04-25 加藤俊德 白质强调处理装置以及白质强调处理方法
US8295575B2 (en) * 2007-10-29 2012-10-23 The Trustees of the University of PA. Computer assisted diagnosis (CAD) of cancer using multi-functional, multi-modal in-vivo magnetic resonance spectroscopy (MRS) and imaging (MRI)
DE102009027448A1 (de) * 2009-07-03 2011-01-05 Forschungszentrum Jülich GmbH Wissensbasierte Segmentierung schwächungsrelevanter Regionen des Kopfes

Also Published As

Publication number Publication date
US20120155733A1 (en) 2012-06-21
EP2449528A1 (de) 2012-05-09
WO2011000739A9 (de) 2011-03-03
DE102009027448A1 (de) 2011-01-05
EP2449528B1 (de) 2017-11-22
JP5840125B2 (ja) 2016-01-06
US8761482B2 (en) 2014-06-24
WO2011000739A1 (de) 2011-01-06
JP2012531229A (ja) 2012-12-10

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