Abstract
Echocardiographic transducers record two-dimensional (2D) datasets in a sector reference after which a scan-conversion is applied to obtain the images in Cartesian coordinates. To assess left ventricular(LV) flow dynamics by a low dose contrast injection, we recently developed a 2D tracking methodology by combining speckle tracking (ST) with Navier-Stokes based regularization and it has been tested in synthetic ultrasound datasets prior to the scan conversion. However, in clinical settings the estimation becomes challenging due to the inhomogeneous image patterns which are inherently introduced by scan-conversion and are more likely to be locally strengthened by non homogeneous bubble seeding and high velocity gradient. To better deal with that, the aim of this study was hereby to modify the previous method by using a dynamic tracking kernel size. Its performance was first quantified in synthetic scan-converted ultrasound data based on a computational fluid dynamics model of LV flow. The applicability of the approach was tested in an experimental phantom setup with pulsed flow that mimics the normal human heart and simultaneously allows for optical particle image velocimetry as a standard reference technique. Both qualitative and quantitative comparison of the estimated flow fields and reference measurements showed that the modified methodology can correctly characterize the flow field properties and is promising to offer new insights into the flow dynamics inside the left ventricle.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kim, H., Hertzberg, J., Shandas, R.: Development and validation of echo piv. Experiments in Fluids 36(3), 455–462 (2004)
Hong, G., Pedrizzetti, G., Tonti, G., Li, P., Wei, Z., Kim, J., et al.: Characterization and quantification of vortex flow in the human left ventricle by contrast echocardiography using vector particle image velocimetry. JACC Cardiovascular Imaging 1(6), 705–717 (2008)
Kheradvar, A., Houle, H., Pedrizzetti, G., Tonti, G., Belcik, T., Ashraf, M., Lindner, J., Gharib, M., Sahn, D.: Echocardiographic particle image velocimetry: a novel technique for quantification of left ventricular blood vorticity pattern. Journal of the American Society of Echocardiography 23(1), 86–94 (2010)
Faludi, R., Szulik, M., D’hooge, J., Herijgers, P., Rademakers, F., Pedrizzetti, G., Voigt, J.U.: Left ventricular flow patterns in healthy subjects and patients with prosthetic mitral valves: an in vivo study using echocardiographic particle image velocimetry. J. Thorac. Cardiovasc. Surg. 139(6), 1501–1510 (2010)
Gao, H., Kremer, F., Choi, H., Voigt, J., Claus, P., D’hooge, J.: Left ventricular 2d flow pattern estimation by combining speckle tracking with navier-stokes based regularization in an iterative way. In: Proceedings of SPIE, vol. 7968, p. 796811 (2011)
Heitz, D., Mémin, E., Schnörr, C.: Variational fluid flow measurements from image sequences: synopsis and perspectives. Experiments in Fluids 48(3), 369–393 (2010)
Gao, H., Choi, H., Claus, P., Boonen, S., Jaecques, S., van Lenthe, G., Van Der Perre, G., Lauriks, W., D’hooge, J.: A fast convolution-based methodology to simulate 2-d/3-d cardiac ultrasound images. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 56(2), 404–409 (2009)
Gao, H., Claus, P., Amzulescu, M., Stankovic, I., D’hooge, J., Voigt, J.: How to optimize intracardiac blood flow tracking by echocardiographic particle image velocimetry? exploring the influence of data acquisition using computer-generated data sets. European Heart Journal–Cardiovascular Imaging 13(6), 490–499 (2012)
van der Graaf, G.: Gpiv, Open Source Software for Particle Image Velocimetry, http://gpiv.sourceforge.net/
Garcia, D., del Álamo, J., Tanné, D., Yotti, R., Cortina, C., Bertrand, É., Antoranz, J., Pérez-David, E., Rieu, R., Fernández-Avilés, F., et al.: Two-dimensional intraventricular flow mapping by digital processing conventional color-doppler echocardiography images. IEEE Transactions on Medical Imaging 29(10), 1701–1713 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gao, H., Bijnens, N., Coisne, D., Lugiez, M., Rutten, M., D’hooge, J. (2013). 2D Intracardiac Flow Estimation by Combining Speckle Tracking with Navier-Stokes Based Regularization: A Study with Dynamic Kernels. In: Ourselin, S., Rueckert, D., Smith, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2013. Lecture Notes in Computer Science, vol 7945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38899-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-38899-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38898-9
Online ISBN: 978-3-642-38899-6
eBook Packages: Computer ScienceComputer Science (R0)