EP1714250A2 - Segmentation automatique de tissus par caracterisation de changement dynamique - Google Patents

Segmentation automatique de tissus par caracterisation de changement dynamique

Info

Publication number
EP1714250A2
EP1714250A2 EP05702601A EP05702601A EP1714250A2 EP 1714250 A2 EP1714250 A2 EP 1714250A2 EP 05702601 A EP05702601 A EP 05702601A EP 05702601 A EP05702601 A EP 05702601A EP 1714250 A2 EP1714250 A2 EP 1714250A2
Authority
EP
European Patent Office
Prior art keywords
contrast agent
region
peak
interest
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.)
Withdrawn
Application number
EP05702601A
Other languages
German (de)
English (en)
Inventor
Ori Hay
Armin Marcovitch
Ifat Lev
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 EP1714250A2 publication Critical patent/EP1714250A2/fr
Withdrawn legal-status Critical Current

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
    • 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
    • A61B6/48—Diagnostic techniques
    • A61B6/481—Diagnostic techniques involving the use of contrast agents
    • 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
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/215—Motion-based segmentation
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10116—X-ray image
    • G06T2207/10121—Fluoroscopy
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20092—Interactive image processing based on input by user
    • G06T2207/20104—Interactive definition of region of interest [ROI]
    • 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

Definitions

  • a contrast agent enhanced image is generally collected when the contrast agent is at its peak.
  • the contrast agent is injected into the blood.
  • the intensity of the blood increases along a relatively steep curve until it reaches a peak.
  • the curve decays along a more shallow slope as the bolus of contrast agent passes from the region of interest.
  • the generation of the contrast agent enhanced image(s) is timed such that the imaging process commences just before the peak and continues until just after the peak.
  • One technique for locating the peak includes generating a number of images of the region of interest after the contrast agent has been injected.
  • the intensity of the blood remains flat until the bolus reaches the imaged region.
  • Segmenting based on this contrast agent uptake can also help to segment diseased or damaged tissue from healthy tissue.
  • the contrast agent when the contrast agent is injected into the blood, the arteries quickly change intensity. .
  • the intensity change of the viens vessel takes longer to peak than the intensity change in the arteries.
  • the time-to-peak varies and provides a basis for segmentation.
  • some tissues or substances in the body, such as plaque may be imaged equally bright with the contrast agent enhanced blood, but can be differentiated due to its different or lack of change in intensity relative to the contrast agent enhanced pixels or voxels.

Landscapes

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

Abstract

Selon l'invention, un processeur de reconstruction (24) reconstruit des données de diagnostic d'un dispositif d'imagerie diagnostique, tel qu'un tomodensitomètre (10), commençant avant qu'un agent de contraste n'atteigne une région à étudier (50), pendant l'augmentation (52) de la concentration de l'agent de contraste dans la région à étudier, ainsi qu'à un pic (56) de l'agent de contraste. La pluralité d'images générée pendant que la concentration de l'agent de contraste augmente est alignée (78). Une carte de changement est générée, laquelle indique un gradient de taux de changement (62) ou un temps d'atteinte de pic (64) pour des pixels ou voxels correspondants des images générées pendant la durée d'augmentation de l'agent de contraste jusqu'au pic. Un processeur de segmentation (70) utilise la carte de changement pour segmenter les images diagnostiques générées sans agent de contraste ou au pic de concentration de l'agent de contraste.
EP05702601A 2004-01-29 2005-01-06 Segmentation automatique de tissus par caracterisation de changement dynamique Withdrawn EP1714250A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US54027804P 2004-01-29 2004-01-29
PCT/IB2005/050076 WO2005073915A2 (fr) 2004-01-29 2005-01-06 Segmentation automatique de tissus par caracterisation de changement dynamique

Publications (1)

Publication Number Publication Date
EP1714250A2 true EP1714250A2 (fr) 2006-10-25

Family

ID=34826207

Family Applications (1)

Application Number Title Priority Date Filing Date
EP05702601A Withdrawn EP1714250A2 (fr) 2004-01-29 2005-01-06 Segmentation automatique de tissus par caracterisation de changement dynamique

Country Status (4)

Country Link
EP (1) EP1714250A2 (fr)
JP (1) JP2007521867A (fr)
CN (1) CN1914642A (fr)
WO (1) WO2005073915A2 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2461991A (en) * 2008-07-22 2010-01-27 Siemens Medical Solutions Positron emission tomography data with time activity derived framing intervals.

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102005061847A1 (de) * 2005-12-23 2007-07-05 Siemens Ag Betriebsverfahren für eine Röntgeneinrichtung
US7620227B2 (en) * 2005-12-29 2009-11-17 General Electric Co. Computer-aided detection system utilizing temporal analysis as a precursor to spatial analysis
JP5093727B2 (ja) 2006-01-05 2012-12-12 国立大学法人金沢大学 連続ｘ線画像スクリーニング検査装置、プログラム及び記録媒体
CN101663691B (zh) * 2007-04-23 2013-11-20 皇家飞利浦电子股份有限公司 不同预采集医学图像的时空扭曲
US8784800B2 (en) 2009-03-09 2014-07-22 Medtronic, Inc. Method of delivering cell therapy to a target site
RU2541175C2 (ru) 2009-06-30 2015-02-10 Конинклейке Филипс Электроникс Н.В. Количественный анализ перфузии
US9955934B2 (en) 2010-10-19 2018-05-01 Koninklijke Philips N.V. Dynamic acquisition sampling rate for computed tomography perfusion (CTP) imaging
US9466145B2 (en) * 2012-04-24 2016-10-11 The University Of Melbourne Identification of vascular territories
JP6530743B2 (ja) * 2013-04-03 2019-06-12 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 血管セグメント化
JP6173751B2 (ja) * 2013-04-09 2017-08-02 東芝メディカルシステムズ株式会社 医用画像処理装置、ｘ線診断装置及び医用画像処理プログラム
CN104331681B (zh) * 2014-09-16 2017-05-24 上海理工大学 一种获取造影剂迟豫时间的方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS62268535A (ja) * 1986-05-15 1987-11-21 株式会社東芝 放射線画像処理装置
US6983182B2 (en) * 1998-04-10 2006-01-03 Wisconsin Alumni Research Foundation Time resolved computed tomography angiography
GB9906420D0 (en) * 1999-03-19 1999-05-12 Isis Innovation Method and apparatus for image processing
US6597937B2 (en) * 2001-02-05 2003-07-22 Koninklijke Philips Electronics N.V. Self-adaptive tracking and phase encoding during data collection for contrast-enhanced MRA and dynamic agent uptake studies
JP4112368B2 (ja) * 2001-02-13 2008-07-02 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ 連続したデータセットの分析

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO2005073915A2 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2461991A (en) * 2008-07-22 2010-01-27 Siemens Medical Solutions Positron emission tomography data with time activity derived framing intervals.

Also Published As

Publication number Publication date
WO2005073915A2 (fr) 2005-08-11
CN1914642A (zh) 2007-02-14
JP2007521867A (ja) 2007-08-09
WO2005073915A3 (fr) 2006-05-11

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