WO2001035339A3 - Automatic analysis of anatomical images time sequence - Google Patents

Automatic analysis of anatomical images time sequence Download PDF

Info

Publication number
WO2001035339A3
WO2001035339A3 PCT/EP2000/010658 EP0010658W WO0135339A3 WO 2001035339 A3 WO2001035339 A3 WO 2001035339A3 EP 0010658 W EP0010658 W EP 0010658W WO 0135339 A3 WO0135339 A3 WO 0135339A3
Authority
WO
WIPO (PCT)
Prior art keywords
images
segmentation
wall
time sequence
cardiache
Prior art date
Application number
PCT/EP2000/010658
Other languages
French (fr)
Other versions
WO2001035339A2 (en
Inventor
Maria Filomena Santarelli
Vincenzo Positano
Luigi Landini
Antonio Benassi
Massimo Lombardi
Abbate Antonio L
Original Assignee
Consiglio Nazionale Ricerche
Maria Filomena Santarelli
Vincenzo Positano
Luigi Landini
Antonio Benassi
Massimo Lombardi
Abbate Antonio L
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
Priority claimed from IT1999PI000069 external-priority patent/IT1307322B1/en
Priority claimed from IT2000PI000041A external-priority patent/IT1319586B1/en
Application filed by Consiglio Nazionale Ricerche, Maria Filomena Santarelli, Vincenzo Positano, Luigi Landini, Antonio Benassi, Massimo Lombardi, Abbate Antonio L filed Critical Consiglio Nazionale Ricerche
Priority to EP00988697A priority Critical patent/EP1236177A1/en
Priority to AU25052/01A priority patent/AU2505201A/en
Publication of WO2001035339A2 publication Critical patent/WO2001035339A2/en
Publication of WO2001035339A3 publication Critical patent/WO2001035339A3/en

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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/149—Segmentation; Edge detection involving deformable models, e.g. active contour models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • 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
    • G06T2207/20112—Image segmentation details
    • G06T2207/20116—Active contour; Active surface; Snakes
    • 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
    • G06T2207/30048—Heart; Cardiac

Abstract

The method allows prefiltering, segmentation and analysing time sequence of volumetric images in the field of medical diagnosis. In particular the system allows detecting and selecting, from anatomical images, for example cardiac images, an organ or part of it by means instruments of segmentation and carrying out quantitative analysis for anatomical studies, function and perfusion. From the images cardiache is calcola the volume of the cavity and the thickness of the miocardium and as these variano in the tempo; in the images cardiache of perfusion, is calculated automatically the ventricular wall by means of suitable operations of segmentation and, then, is subdivide this wall in a plurality of selected regions obtaining, by means of a graphic window, time/intensity curves relative to each zone, comprised the reference curve corresponding to the ventricular cavity. The method allows di: 1) to filter the curve tempo/intensita' from heat noise and due to the hardware of the machine and by artefacts due to meccanismi fisiologici, such as the heart beat and attivita' vaso-motoria spontanea; 2) estract data relative to the flow in the regions of the myocardium wall selected automatically.
PCT/EP2000/010658 1999-10-29 2000-10-30 Automatic analysis of anatomical images time sequence WO2001035339A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP00988697A EP1236177A1 (en) 1999-10-29 2000-10-30 Automatic analysis of anatomical images time sequence
AU25052/01A AU2505201A (en) 1999-10-29 2000-10-30 Automatic analysis of anatomical images time sequence

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
IT1999PI000069 IT1307322B1 (en) 1999-10-29 1999-10-29 Anatomical image processing method for cardiac applications, involves extracting displayed organs contour by automatically segmenting selected image regions as defined by contour of prefiltered temperature gradient image
ITPI99A000069 1999-10-29
IT2000PI000041A IT1319586B1 (en) 2000-06-06 2000-06-06 Anatomical image processing method for cardiac applications, involves extracting displayed organs contour by automatically segmenting selected image regions as defined by contour of prefiltered temperature gradient image
ITPI2000A000041 2000-06-06

Publications (2)

Publication Number Publication Date
WO2001035339A2 WO2001035339A2 (en) 2001-05-17
WO2001035339A3 true WO2001035339A3 (en) 2002-07-25

Family

ID=26331915

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2000/010658 WO2001035339A2 (en) 1999-10-29 2000-10-30 Automatic analysis of anatomical images time sequence

Country Status (3)

Country Link
EP (1) EP1236177A1 (en)
AU (1) AU2505201A (en)
WO (1) WO2001035339A2 (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7346381B2 (en) * 2002-11-01 2008-03-18 Ge Medical Systems Global Technology Company Llc Method and apparatus for medical intervention procedure planning
US7778686B2 (en) 2002-06-04 2010-08-17 General Electric Company Method and apparatus for medical intervention procedure planning and location and navigation of an intervention tool
GB2391625A (en) 2002-08-09 2004-02-11 Diagnostic Ultrasound Europ B Instantaneous ultrasonic echo measurement of bladder urine volume with a limited number of ultrasound beams
EP1781176B1 (en) * 2004-02-17 2011-04-13 Verathon Inc. System and method for measuring bladder wall thickness and mass
EP1819279B1 (en) * 2004-12-06 2011-01-05 Verathon Inc. System and method for determining organ wall mass by three-dimensional ultrasound
JP5122743B2 (en) * 2004-12-20 2013-01-16 ゼネラル・エレクトリック・カンパニイ System for aligning 3D images within an interventional system
WO2008034182A1 (en) * 2006-09-20 2008-03-27 Apollo Medical Imaging Technology Pty Ltd Method and system of automated image processing - one click perfusion
WO2010086810A1 (en) * 2009-01-29 2010-08-05 Koninklijke Philips Electronics N.V. Transmural perfusion gradient image analysis
ITMO20130326A1 (en) * 2013-11-29 2015-05-30 Istituto Naz Tumori Fondazi One G Pascale ANALYSIS METHOD
CN106537451B (en) * 2016-10-11 2019-03-15 深圳先进技术研究院 A kind of blood vessel ridge point extracting method and device based on image gradient vector flow field

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0422220A1 (en) * 1989-03-28 1991-04-17 Yokogawa Medical Systems, Ltd Image processing apparatus
US5669382A (en) * 1996-11-19 1997-09-23 General Electric Company System for measuring myocardium in cardiac images

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0422220A1 (en) * 1989-03-28 1991-04-17 Yokogawa Medical Systems, Ltd Image processing apparatus
US5669382A (en) * 1996-11-19 1997-09-23 General Electric Company System for measuring myocardium in cardiac images

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
CHALANA V ET AL: "A MULTIPLE ACTIVE CONTOUR MODEL FOR CARDIAC BOUNDARY DETECTION ON ECHOCARDIOGRAPHIC SEQUENCES", IEEE TRANSACTIONS ON MEDICAL IMAGING, IEEE INC. NEW YORK, US, vol. 15, no. 3, 1 June 1996 (1996-06-01), pages 290 - 298, XP000587923, ISSN: 0278-0062 *
HALMANN M ET AL: "DIGITAL SUBTRACTION MYOCARDIAL CONTRAST ECHOCARDIOGRAPHY: DESIGN AND APPLICATION OF A NEW ANALYSIS PROGRAM FOR MYOCARDIAL PERFUSION IMAGING", JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY, MOSBY-YEAR BOOK, INC. ST. LOUIS, MO, US, vol. 7, no. 4, 1 July 1994 (1994-07-01), pages 355 - 362, XP000572562, ISSN: 0894-7317 *
MERIALDO P ET AL: "Automated recognition of cardiac structures in echocontrast perfusion studies", COMPUTER-BASED MEDICAL SYSTEMS., 1997. PROCEEDINGS., TENTH IEEE SYMPOSIUM ON MARIBOR, SLOVENIA 11-13 JUNE 1997, LOS ALAMITOS, CA, USA,IEEE COMPUT. SOC, US, 11 June 1997 (1997-06-11), pages 66 - 69, XP010229278, ISBN: 0-8186-7928-X *
PIETRO PERONA ET AL: "SCALE-SPACE AND EDGE DETECTION USING ANISOTROPIC DIFFUSION", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE INC. NEW YORK, US, vol. 12, no. 7, 1 July 1990 (1990-07-01), pages 629 - 639, XP000136967, ISSN: 0162-8828 *
UIJEN G J H ET AL: "The accuracy of densimetric time parameters in the analysis of myocardial perfusion", COMPUTERS IN CARDIOLOGY, 1988. PROCEEDINGS. WASHINGTON, DC, USA 25-28 SEPT. 1988, WASHINGTON, DC, USA,IEEE COMPUT. SOC. PR, US, 25 September 1988 (1988-09-25), pages 215 - 218, XP010016329, ISBN: 0-8186-1949-X *
ZHENG Y ET AL: "Signal extraction and power spectrum estimation using wavelet transform scale space filtering and Bayes shrinkage", SIGNAL PROCESSING, AMSTERDAM, NL, vol. 80, no. 8, August 2000 (2000-08-01), pages 1535 - 1549, XP004222578, ISSN: 0165-1684 *

Also Published As

Publication number Publication date
WO2001035339A2 (en) 2001-05-17
AU2505201A (en) 2001-06-06
EP1236177A1 (en) 2002-09-04

Similar Documents

Publication Publication Date Title
Hansen et al. Lower diagnostic accuracy of thallium-201 SPECT myocardial perfusion imaging in women: an effect of smaller chamber size
US7813785B2 (en) Cardiac imaging system and method for planning minimally invasive direct coronary artery bypass surgery
EP1855596B1 (en) Ultrasonic diagnostic imaging system for detecting lesions of the liver
WO2005001769A3 (en) Automated regional myocardial assessment for cardiac imaging
JP7041147B6 (en) Systems and methods that characterize hepatic perfusion of contrast medium flow
Yvorchuk et al. Measurement of left ventricular ejection fraction by acoustic quantification and comparison with radionuclide angiography
JP2004329944A (en) System and method of heart ct for planning and treatment of both ventricles pacing using epicardium lead
EP0846442A3 (en) Ultrasonic diagnostic imaging system for analysis of left ventricular function
WO2001035339A3 (en) Automatic analysis of anatomical images time sequence
WO2006021096A1 (en) Determination of hemodynamic parameters
FI113835B (en) Cardiac analysis method for monitoring atrial arrhythmias, involves focusing cardiac analysis to dynamic changes of configuration of P-wave of ECG signal, and comparing every detected P-wave to reference P-wave in defined time period
WO2010019198A2 (en) Spectrum analysis of coronary artery turbulent blood flow
Celutkiene et al. Is post-systolic motion the optimal ultrasound parameter to detect induced ischaemia during dobutamine stress echocardiography?
Farah et al. Thrombus of the ascending aorta as a source of cerebral embolism
Hunziker et al. Regional wall motion assessment in stress echocardiography by tissue Doppler bull’s-eyes
JPH06285064A (en) Ultrasonic diagnostic device
Kanai et al. A new approach to time dependent AR modeling of signals and its application to analysis of the fourth heart sound
JPH10105676A (en) Method and device for processing ultrasonic image
Miyasaka et al. A simple and accurate method to identify early ventricular contraction sites in Wolff-Parkinson-White syndrome using high frame–rate tissue-velocity imaging
Zhang et al. Comparison of automatic boundary detection and manual tracing technique in echocardiographic determination of left atrial volume
Kitabatake et al. Colour visualization of two-dimensional distribution of intracardiac flow abnormalities by multigate Doppler technique
JP3015729B2 (en) Ultrasound diagnostic equipment
Ota et al. 774-4 Echocardiographic Cardiac Rejection Surveillance Using Acoustic Densitometry of Two Dimensional Ultrasound Backscatter Imaging: Multiple Views and Regions of Interest
Clemmensen et al. Electrocardiographic prediction of two-dimensional echocardiographic-determined left ventricular dyssynergy in acute myocardial infarction
RU2123799C1 (en) Method for evaluating volume and boundaries of acute myocardial infarction

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A2

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CR CU CZ DE DK DM DZ EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT TZ UA UG US UZ VN YU ZA ZW

AL Designated countries for regional patents

Kind code of ref document: A2

Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE BF BJ CF CG CI CM GA GN GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
WWE Wipo information: entry into national phase

Ref document number: 2000988697

Country of ref document: EP

AK Designated states

Kind code of ref document: A3

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CR CU CZ DE DK DM DZ EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT TZ UA UG US UZ VN YU ZA ZW

AL Designated countries for regional patents

Kind code of ref document: A3

Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE BF BJ CF CG CI CM GA GN GW ML MR NE SN TD TG

WWP Wipo information: published in national office

Ref document number: 2000988697

Country of ref document: EP

REG Reference to national code

Ref country code: DE

Ref legal event code: 8642

WWW Wipo information: withdrawn in national office

Ref document number: 2000988697

Country of ref document: EP