BR112015009354A2 - método e sistema de processamento - Google Patents

método e sistema de processamento

Info

Publication number
BR112015009354A2
BR112015009354A2 BR112015009354A BR112015009354A BR112015009354A2 BR 112015009354 A2 BR112015009354 A2 BR 112015009354A2 BR 112015009354 A BR112015009354 A BR 112015009354A BR 112015009354 A BR112015009354 A BR 112015009354A BR 112015009354 A2 BR112015009354 A2 BR 112015009354A2
Authority
BR
Brazil
Prior art keywords
different
components
tissue components
dataset
evaluated
Prior art date
Application number
BR112015009354A
Other languages
English (en)
Inventor
Carmi Raz
Original Assignee
Koninklijke Philips 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 Nv filed Critical Koninklijke Philips Nv
Publication of BR112015009354A2 publication Critical patent/BR112015009354A2/pt

Links

Classifications

    • 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
    • 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
    • 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
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/504—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of blood vessels, e.g. by angiography
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/08—Volume rendering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/40—Image enhancement or restoration using histogram techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
    • 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
    • G06T2207/10076—4D tomography; Time-sequential 3D tomography
    • 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
    • G06T2207/10081—Computed x-ray tomography [CT]
    • 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
    • G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
    • 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
    • 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
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/41—Medical
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Informatics (AREA)
  • General Physics & Mathematics (AREA)
  • Radiology & Medical Imaging (AREA)
  • General Health & Medical Sciences (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Optics & Photonics (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Quality & Reliability (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Dentistry (AREA)
  • Vascular Medicine (AREA)
  • Computer Graphics (AREA)
  • Pulmonology (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)

Abstract

resumo método e sistema de processamento é descrita aqui uma abordagem para analisar as características de perfusão de tecidos heterogêneos espacialmente emaranhados em um conjunto de dados 4d (isto é, uma série de volumes 3d de contraste aperfeiçoado obtidos ao longo do tempo) nos quais componentes de tecido espacialmente emaranhados são separados em componentes de tecido individuais, e mapas de perfusão para os componentes de tecido individuais são gerados e visualmente apresentados. em uma instância, a abordagem inclui a obtenção do conjunto de dados 4d em formato eletrônico, a geração de um ponto da curva de atividade no tempo diferente para cada um dos diferentes componentes de tecido para cada voxel que está sendo avaliado para cada período de tempo que está sendo avaliado, e a geração de um sinal indicativo de um mapa de parâmetro diferente para cada um dos diferentes componentes de tecido com base ao menos nas curvas de atividade no tempo. opcionalmente, as relações entre parâmetros dos diferentes componentes são determinadas e apresentadas em mapas de relação. 1/1
BR112015009354A 2012-10-31 2013-10-31 método e sistema de processamento BR112015009354A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201261720475P 2012-10-31 2012-10-31
PCT/IB2013/059829 WO2014068520A1 (en) 2012-10-31 2013-10-31 Perfusion imaging

Publications (1)

Publication Number Publication Date
BR112015009354A2 true BR112015009354A2 (pt) 2017-07-04

Family

ID=50030347

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112015009354A BR112015009354A2 (pt) 2012-10-31 2013-10-31 método e sistema de processamento

Country Status (7)

Country Link
US (1) US9478024B2 (pt)
EP (1) EP2915141B1 (pt)
JP (1) JP6645831B2 (pt)
CN (1) CN104769641B (pt)
BR (1) BR112015009354A2 (pt)
RU (1) RU2015120325A (pt)
WO (1) WO2014068520A1 (pt)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9953439B2 (en) * 2014-11-25 2018-04-24 University Of Virginia Patent Foundation Systems and methods for three-dimensional spiral perfusion imaging
RU2599209C1 (ru) * 2015-07-14 2016-10-10 Федеральное государственное бюджетное научное учреждение "Томский Научно-исследовательский институт онкологии (Томский НИИ онкологии) Способ прогнозирования вероятности риска развития недостаточности анастомозов в послеоперационном периоде у больных раком пищевода
US10902619B2 (en) * 2016-10-26 2021-01-26 Duke University Systems and methods for determining quality metrics of an image or images based on an edge gradient profile and characterizing regions of interest in an image or images
US11399779B2 (en) * 2018-05-16 2022-08-02 Case Western Reserve University System-independent quantitative perfusion imaging
WO2020185758A1 (en) 2019-03-12 2020-09-17 Bayer Healthcare Llc Systems and methods for assessing a likelihood of cteph and identifying characteristics indicative thereof
CN113573640A (zh) * 2019-04-04 2021-10-29 中心线生物医药股份有限公司 对解剖结构的感兴趣区域进行建模
CN110264565B (zh) * 2019-05-27 2021-07-30 浙江大学 一种基于半峰值概率密度分布的三维重建方法
ES2955349T3 (es) 2019-09-18 2023-11-30 Bayer Ag Predicción de imágenes MRI mediante un modelo de predicción entrenado por aprendizaje supervisado
EP4031895A1 (en) * 2019-09-18 2022-07-27 Bayer Aktiengesellschaft System, method, and computer program product for predicting, anticipating, and/or assessing tissue characteristics
CN113616226B (zh) * 2021-09-14 2023-06-23 上海联影医疗科技股份有限公司 一种血管分析方法、系统、设备及存储介质

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Publication number Priority date Publication date Assignee Title
US6692438B2 (en) * 2001-12-18 2004-02-17 Koninklijke Philips Electronics Nv Ultrasonic imaging system and method for displaying tissue perfusion and other parameters varying with time
JP2003210456A (ja) * 2002-01-21 2003-07-29 Toshiba Corp 時系列画像の処理装置
US20030211036A1 (en) * 2002-05-07 2003-11-13 Hadassa Degani Method and apparatus for monitoring and quantitatively evaluating tumor perfusion
US6888914B2 (en) * 2002-11-26 2005-05-03 General Electric Company Methods and apparatus for computing volumetric perfusion
US20040218794A1 (en) * 2003-05-01 2004-11-04 Yi-Hsuan Kao Method for processing perfusion images
DE10335663A1 (de) * 2003-08-04 2005-03-10 Siemens Ag Verfahren zur automatischen Kalibrierung von Perfusionsparameterbildern
US8326400B2 (en) * 2004-05-04 2012-12-04 Stiftelsen Universitetsforskning Bergen Method of MR imaging
JP5053606B2 (ja) * 2006-09-22 2012-10-17 株式会社東芝 医用画像診断装置及び医用画像処理装置
US8233965B2 (en) 2007-03-08 2012-07-31 Oslo Universitetssykehus Hf Tumor grading from blood volume maps
GB0705223D0 (en) 2007-03-19 2007-04-25 Univ Sussex Method, apparatus and computer program for analysing medical image data
US7848557B2 (en) * 2007-03-23 2010-12-07 University Of Utah Research Foundation Rapid multi-tracer PET imaging systems and methods
US20080262344A1 (en) 2007-04-23 2008-10-23 Brummett David P Relative value summary perfusion map
DE102007028901B4 (de) * 2007-06-22 2010-07-22 Siemens Ag Verfahren und Vorrichtung zur automatischen Bestimmung von Perfusion mittels einer Magnetresonanzanlage
JP5010375B2 (ja) * 2007-07-18 2012-08-29 株式会社東芝 医用画像診断装置
CN101658428A (zh) * 2008-08-28 2010-03-03 西门子（中国）有限公司 灌注成像技术中对位图进行处理的方法和系统
EP2432385A4 (en) 2009-05-19 2013-06-26 Endra Inc THERMOACOUSTIC SYSTEM FOR TISSUE ANALYSIS
EP2449530B1 (en) * 2009-06-30 2016-04-20 Koninklijke Philips N.V. Quantitative perfusion analysis
CN101756713A (zh) * 2009-09-09 2010-06-30 西安交通大学 超声造影成像、灌注参量估计和灌注参量功能成像及其集成方法
RU2582055C2 (ru) * 2010-05-06 2016-04-20 Конинклейке Филипс Электроникс Н.В. Совмещение данных изображения для динамической перфузионной компьютерной томографии
US9299142B2 (en) * 2011-10-24 2016-03-29 Koninklijke Philips N.V. Perfusion imaging
US10617312B2 (en) * 2012-04-17 2020-04-14 Koninklijke Philips N.V. Perfusion imaging

Also Published As

Publication number Publication date
US20160048955A1 (en) 2016-02-18
US9478024B2 (en) 2016-10-25
RU2015120325A (ru) 2016-12-20
EP2915141A1 (en) 2015-09-09
WO2014068520A1 (en) 2014-05-08
CN104769641B (zh) 2018-01-26
JP6645831B2 (ja) 2020-02-14
JP2015532872A (ja) 2015-11-16
CN104769641A (zh) 2015-07-08
EP2915141B1 (en) 2016-12-14

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Legal Events

Date Code Title Description
B08F Application dismissed because of non-payment of annual fees [chapter 8.6 patent gazette]

Free format text: REFERENTE A 5A ANUIDADE.

B08K Patent lapsed as no evidence of payment of the annual fee has been furnished to inpi [chapter 8.11 patent gazette]

Free format text: EM VIRTUDE DO ARQUIVAMENTO PUBLICADO NA RPI 2486 DE 28-08-2018 E CONSIDERANDO AUSENCIA DE MANIFESTACAO DENTRO DOS PRAZOS LEGAIS, INFORMO QUE CABE SER MANTIDO O ARQUIVAMENTO DO PEDIDO DE PATENTE, CONFORME O DISPOSTO NO ARTIGO 12, DA RESOLUCAO 113/2013.