Simultaneous evaluation of volumes and synergistic motion of the left ventricle from X-ray angiograms using a unified computational framework

dc.contributor.authorChacón, Gerardo
dc.contributor.authorRodríguez, Johel E.
dc.contributor.authorBermúdez, Valmore
dc.contributor.authorFlórez, Anderson
dc.contributor.authorDel Mar, Atilio
dc.contributor.authorPardo, Aldo
dc.contributor.authorLameda, Carlos
dc.date.accessioned2020-02-13T01:07:33Z
dc.date.available2020-02-13T01:07:33Z
dc.date.issued2019
dc.description.abstractX-rays angiograms of the left ventricle as the main cavity of the human heart are acquired at the catheterization rooms routinely in order to evaluate the cardiac dynamic function. The global measurement of volumes, ejection fraction and synergistic motion associated with the ventricular cavity are considered in the assessment of such function. A precise left ventricle silhouette on the angiograms is necessary to calculate the function descriptors. A segmentation method is required to obtain the projected cavity shapeeng
dc.description.abstractLos angiogramas de rayos X del ventrículo izquierdo como la cavidad principal del corazón humano se adquieren en las salas de cateterismo de forma rutinaria para evaluar la función dinámica cardíaca. La medición global de los volúmenes, la fracción de eyección y el movimiento sinérgico asociados con la cavidad ventricular se consideran en la evaluación de dicha función. Es necesaria una silueta precisa del ventrículo izquierdo en los angiogramas para calcular los descriptores de funciones. Se requiere un método de segmentación para obtener la forma de la cavidad proyectada.spa
dc.format.mimetypepdfspa
dc.identifier.issn18564550
dc.identifier.urihttps://hdl.handle.net/20.500.12442/4730
dc.language.isoengeng
dc.publisherCooperativa servicios y suministros 212518 RSspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceRevista Latinoamericana de Hipertensiónspa
dc.sourceVol. 14 , Nº 5 (2019)spa
dc.source.urihttp://www.revhipertension.com/rlh_5_2019/12_simultaneous_evaluation.pdf
dc.subjectX-rays angiogramseng
dc.subjectHuman hearteng
dc.subjectLeft ventricleeng
dc.subjectVentricle volumeseng
dc.subjectSynergistic motioneng
dc.subjectCardiac functioneng
dc.subjectAngiogramas de rayos Xspa
dc.subjectCorazón humanospa
dc.subjectVolúmenes ventricularesspa
dc.subjectMovimiento sinérgicospa
dc.subjectFunción cardíacaspa
dc.titleSimultaneous evaluation of volumes and synergistic motion of the left ventricle from X-ray angiograms using a unified computational frameworkeng
dc.title.translatedEvaluación simultánea de volúmenes y movimiento sinérgico del ventrículo izquierdo a partir de angiogramas de rayos X utilizando un marco computacional unificadospa
dc.typearticleeng
dc.type.driverarticleeng
dcterms.referencesMarcus ML, Dellsperger KC: Determinants of systolic and diastolic ventricular function, in: Marcus M, Schelbert H, Skorton D, Wolf G (Eds.), Cardiac Imaging. A Companion to Braunwald’s Heart Disease, W.B. Saunders Company, Philadelphia, USA, 1991:24–38.eng
dcterms.referencesKennedy J, Baxley W, Figley M, Dodge H, Blackmon J. Quantitative angiocardiography. I. The normal left ventricle in man. Circulation. 1966;34(2):272–8eng
dcterms.referencesRatib O: Quantitative analysis of cardiac function, in: Bankman I (Ed.), Handbook of Medical Imaging: Processing and Analysis, Academic Press, San Diego, 2000:359–374eng
dcterms.referencesYang C, Wu W, Su Y, Zhang S: Left ventricle segmentation via twolayer level sets with circular shape constraint, Magnetic Resonance Imaging. 2017;38:202-213eng
dcterms.referencesOlveres J, Nava R, Escalante-Ramírez B, Vallejo E, Kybic J: Left ventricle Hermite-based segmentation, Computers in Biology and Medicine. 2017. 87(1):236-249eng
dcterms.referencesYin L, Yang R, Gabbouj M, Neuvo Y:Weighted median filters: a tutorial, IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing. 1996; 43(3):157–192eng
dcterms.referencesGonzalez R, Woods R: Digital Image Processing. 2006, USA: Prentice–Halleng
dcterms.referencesPerona P, Malik J: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1990; 12(7): 629–639eng
dcterms.referencesCañero C, Radeva P: Vesselness enhancement diffusion. Pattern Recognition Letters. 2003; 24(16):3141–3151eng
dcterms.referencesSerra J: Image Analysis and Mathematical Morphology. 19863; USA: Academic Presseng
dcterms.referencesHaralick R, Shapiro L: Computer and robot vision, vol. I. 1992; USA: Addison-Wesley Publishing Companyeng
dcterms.referencesLi C, Xu C, Gui C, Fox MD: Distance Regularized Level Set Evolution and Its Application to Image Segmentation. IEEE Transaction on Image Processing. 2010;19(12):3243-3254eng
dcterms.referencesDaniel: Region Growing (2D/3D grayscale). MathWorks. 2011. https:// www.mathworks. com/matlabcentral/fileexchange/32532-regiongrowing- 2d-3d-grayscaleeng
dcterms.referencesSethian J: Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision, and Material Sciences. 1996; Cambridge University Presseng
dcterms.referencesLi C: Level set for image segmentation. MathWorks. 2013. https:// www.mathworks. com/matlabcentral/fileexchange/12711-level-setfor- image-segmentationeng
dcterms.referencesKou W: Digital Image Compression: Algorithms and Standards. 2013;Springer Science & Business Mediaeng
dcterms.referencesYan S, Lamberto B, Vladir M, Harry G: From Cardiac Catheterization Data to hemodynamic Parameters. 1978; USA: F. A. Davis Company.eng
dcterms.referencesLopes D: Anisotropic Diffusion (Perona & Malik). MathWorks. 2007. https://www.mathworks. com/matlabcentral/fileexchange/14995- anisotropic-diffusion-perona-malikeng
dcterms.referencesNielsen J, Molich R: Heuristic evaluation of user interfaces, In: Proceeding of the SIGCHI Conference on Human Factors in Computing Systems. 1990: 249-256eng
dcterms.referencesSuzuki K, Horiba I, Sugie N, Nanki M: Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector, EEE Transactions on Medical Imaging. 2004 23(3):330–339eng
dcterms.referencesChalana V, Kim Y: A methodology for evaluation of boundary detection algorithms on medical images. IEEE Transaction on Medical Imaging. 1997;16(5):642–52eng
dcterms.referencesDice L: Measures of the amount of ecologic association between species. Ecology. 1945;26(3):297–302. 10.2307/1932409eng
dcterms.referencesKennedy J, Trenholme S, Kaiser I, Wash S: Left ventricular volume and mass from single–plane cineangiocardiogram. A comparison of anteroposterior and right anterior oblique methods. American Heart Journal. 1970;80(3):343–52.eng
dcterms.referencesOost E, Koning G, Sonka M, Oemrawsingh PV, Reiber JHC, Lelieveldt BPF: Automated contour detection in X-ray left ventricular angiograms using multiview active appearance models and dynamic programming. IEEE Transaction on Medical Imaging. 2006;25(9):1158–71eng
dcterms.referencesVera M, Bravo A, Medina R: Myocardial border detection from ventriculograms using support vector machines and real-coded genetic algorithms, Computers in Biology and Medicine. 2010; 40(4):446-455eng
dcterms.referencesHammermeister K, Brooks R,Warbasse J. Rate of change of left ventricular volume in man. I. Validation of peak systolic ejection rate in health and disease. Circulation 1974;49(4):729– 38eng
oaire.versioninfo:eu-repo/semantics/publishedVersioneng

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