Abstract
Interpolation from sparse imaging data is typically required to achieve dense, three-dimensional quantification of left ventricular function. Although the heart muscle is known to be incompressible, this fact is ignored by most previous approaches that address this problem. In this paper, we present a method to reconstruct a dense representation of the three-dimensional, incompressible deformation of the left ventricle from tagged MR images acquired in both short-axis and long axis orientations. The approach applies a smoothing, divergence-free, vector spline to interpolate velocity fields at intermediate discrete times such that the collection of velocity fields integrate over time to match the observed displacement components. Through this process, the method yields a dense estimate of a displacement field that matches our observations and also corresponds to an incompressible motion.
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References
Axel, L., Dougherty, L.: MR imaging of motion with spatial modulation of magnetization. Radiology 171, 841–845 (1989)
Yin, F., Chan, C., Judd, R.: Compressibility of perfused passive myocardium. Amer. J. Physiol.-Heart Circ. Physiol. 8, 1864–1870 (1996)
Song, S.M., Leahy, R.M.: Computation of 3-D velocity fields from 3-d cine CT images of a human heart. IEEE Trans. Med. Imag. 10(3), 295–306 (1991)
Denney, T., Prince, J.L.: Reconstruction of 3D left ventricular motion from planar tagged cardiac MR images: an estimation theoretic approach. IEEE Trans. Med. Imag. 14(4), 625–635 (1995)
Bistoquet, A., Oshinski, J., Skrinjar, O.: Myocardial deformation recovery from cine MRI using a nearly incompressible biventricular model. Med. Imag. Anal. 12, 69–85 (2008)
Amodei, L., Benbourhim, M.N.: A vector spline approximation. J. Approx. Theo. 67(1), 51–79 (1991)
Arigovindan, M.: Variational reconstruction of vector and scalar images from non-uniform samples. PhD thesis, École Polytechnique Federale de Lausanne (2005)
Osman, N.F., Kerwin, W.S., McVeigh, E.R., Prince, J.L.: Cardiac motion tracking using CINE harmonic phase (HARP) magnetic resonance imaging. Magn. Reson. Med. 42, 1048–1060 (1999)
Tecelao, S.R., Zwanenburg, J.J., Kuijer, J.P., Marcus, J.T.: Extended harmonic phase tracking of myocardial motion: improved coverage of myocardium and its effect on strain results. J. Magn. Reson. Imag. 23(5), 682–690 (2006)
Bistoquet, A., Oshinski, J., Skrinjar, O.: Left ventricle deformation recovery from cine MRI using an incompressible model. IEEE Trans. Med. Imag. 26(9), 1136–1153 (2007)
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© 2009 Springer-Verlag Berlin Heidelberg
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Liu, X., Abd-Elmoniem, K.Z., Prince, J.L. (2009). Incompressible Cardiac Motion Estimation of the Left Ventricle Using Tagged MR Images. In: Yang, GZ., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. MICCAI 2009. Lecture Notes in Computer Science, vol 5762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04271-3_41
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DOI: https://doi.org/10.1007/978-3-642-04271-3_41
Publisher Name: Springer, Berlin, Heidelberg
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