Abstract
Many cardiac diseases are associated with changes in ventricular shape. However, in daily practice, the heart is mostly assessed by 2D echocardiography only. While 3D techniques are available, they are rarely used. In this paper we analyze to which extent it is possible to obtain the 3D shape of a left ventricle (LV) using measurements from 2D echocardiography. First, we investigate this using synthetic datasets, and afterwards, we illustrate it in clinical 2D echocardiography measurements with corresponding 3D meshes obtained using 3D echocardiography. We demonstrate that standard measurements taken in 2D allow quantifying only the ellipsoidal shape of the ventricle, and that capturing other shape features require either additional geometrical measurements or clinical information related to shape remodelling. We show that noise in the measurements is the primary cause for poor association between the measurements and the LV shape features and that an estimated \(10\%\) level of noise on the 2D measurements limits the recoverability of shape. Finally we show that clinical variables relating to the clinical history can substitute the lack of geometric measurements, thus providing alternatives for shape assessment in daily practice.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Konstam, M.A., Kramer, D.G., Patel, A.R., Maron, M.S., Udelson, J.E.: Left ventricular remodeling in heart failure: current concepts in clinical significance and assessment. JACC Cardiovasc. Imaging 4(1), 98–108 (2011)
Di Donato, M., Castelvecchio, S., Kukulski, T., Bussadori, C., Giacomazzi, F., Frigiola, A., Menicanti, L.: Surgical ventricular restoration: left ventricular shape influence on cardiac function, clinical status, and survival. Ann. Thorac. Surg. 87, 455–461 (2009)
Ye, D.H., Desjardins, B., Hamm, J., Litt, H., Pohl, K.M.: Regional manifold learning for disease classification. IEEE Trans. Med. Imaging 33(6), 1236–1247 (2014)
Crispi, F., Bijnens, B., Figueras, F., Bartrons, J., Eixarch, E., Le Noble, F., Ahmed, A., Gratacós, E.: Fetal growth restriction results in remodeled and less efficient hearts in children. Circulation 121(22), 2427–2436 (2010)
Sarvari, S.I., Rodriguez-Lopez, M., Nuñez-Garcia, M., Sitges, M., Sepulveda-Martinez, A., Camara, O., Butakoff, C., Gratacos, E., Bijnens, B., Crispi, F.: Persistence of cardiac remodeling in Preadolescents with fetal growth restriction. Circ. Cardiovasc. Imaging 10(1) (2017)
Kistler, M., Bonaretti, S., Pfahrer, M., Niklaus, R., Büchler, P.: The virtual skeleton database: an open access repository for biomedical research and collaboration. J. Med. Internet Res. 15(11) (2013). e245
Blanc, R., Seiler, C., Székely, G., Nolte, L.P., Reyes, M.: Statistical model based shape prediction from a combination of direct observations and various surrogates: application to orthopaedic research. Med. Image Anal. 16(6), 1156–1166 (2012)
Lancellotti, P., Cosyns, B.: The EACVI Echo Handbook. The European Society of Cardiology Textbooks Series. Oxford University Press, Oxford (2015)
Murphy, K.: Machine Learning: A Probabilistic Perspective. MIT Press, Cambridge (2012)
D’hooge, J., Barbosa, D., Gao, H., Claus, P., Prater, D., Hamilton, J., Lysyansky, P., Abe, Y., Ito, Y., Houle, H., Pedri, S., Baumann, R., Thomas, J., Badano, L.P.: Two-dimensional speckle tracking echocardiography standardization efforts based on synthetic ultrasound data. Eur. Heart J. Cardiovasc. Imaging 17, 693–701 (2016)
Acknowledgements
This study was partially supported by the Spanish Ministry of Economy and Competitiveness (grant TIN2014-52923-R; Maria de Maeztu Units of Excellence Programme - MDM-2015-0502), FEDER and the European Union Horizon 2020 Programme for Research and Innovation, under grant agreement No. 642676 (CardioFunXion).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Bernardino, G. et al. (2017). Estimating 3D Ventricular Shape From 2D Echocardiography: Feasibility and Effect of Noise. In: Pop, M., Wright, G. (eds) Functional Imaging and Modelling of the Heart. FIMH 2017. Lecture Notes in Computer Science(), vol 10263. Springer, Cham. https://doi.org/10.1007/978-3-319-59448-4_43
Download citation
DOI: https://doi.org/10.1007/978-3-319-59448-4_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59447-7
Online ISBN: 978-3-319-59448-4
eBook Packages: Computer ScienceComputer Science (R0)