ABC | Volume 114, Nº3, Março 2020

Artigo Original Sousa et al. Software: análise de curvas de deformação cardíaca Arq Bras Cardiol. 2020; 114(3):496-506 Este é um artigo de acesso aberto distribuído sob os termos da licença de atribuição pelo Creative Commons *Material suplementar Para informação adicional, por favor, clique aqui. 13. Koeken Y, Arts T, Delhaas T. Simulation of the Fontan circulation during rest and exercise. Conf Proc IEEE Eng Med Biol Soc. 2012;2012:6673-6. 14. Lumens J, Delhaas T. Cardiovascular modeling in pulmonary arterial hypertension: focus on mechanisms and treatment of right heart failure using the CircAdapt model. Am J Cardiol. 2012;110(6):39s-48s. 15. Tabassian M, Alessandrin M, Herbots L, Mirea O, Pagourelias ED, Jasaityte R, et al. Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification. Int J Cardiovasc Imaging. 2017;33(8):1159-67. 16. Farsalinos KE, Daraban AM, Ünlü S, Thomas JD, Badano LP, Voigt JU. Head- to-Head Comparison of Global Longitudinal Strain Measurements among Nine Different Vendors: the EACVI/ASE Inter-Vendor Comparison Study. J Am Soc Echocardiogr. 2015;28(10):1171-1181. 17. Nagata Y, Takeuchi M, Mizukoshi K, Wu VC, Lin FC, Negishi K, et al. Intervendor variability of two-dimensional strain using vendor-specific and vendor-independent software. J AmSoc Echocardiogr. 2015;28(6):630-41. 18. Mirea O, Pagourelias ED, Duchenne J, Bogaert J, Thomas JD, Badano LP, et al. Intervendor Differences in the Accuracy of Detecting Regional Functional Abnormalities: A Report From the EACVI-ASE Strain Standardization Task Force. JACC Cardiovasc Imaging. 2018;11(1):25-34. 19. Loizou CP, Pattichis CS, D’Hooge J. Handbook of speckle filtering and tracking in cardiovascular ultrasound imaging and video. 1st ed. London: Institution of Engineering and Technology; 2018. 20. Joos P, Porée J, Liebgott H, Vray D, Baudet M, Faurie J, et al. High-frame-rate speckle-tracking echocardiography. IEEE Trans Ultrason Ferroelectr Freq Control. 2018;65(5):720-8. 506