Abstract
This paper deals with model based regularization of velocity encoded cardiac magnetic resonance images (MRI). We extend upon an existing spatiotemporal model of cardiac kinematics by considering data certainty and regularity of the model in order to improve its performance. The method was evaluated using a computer simulated phantom and using in vivo gridtag MRI as gold standard. We show, both quantitatively and qualitatively, that our modified model performs better than the original one.
This work was supported by the Swedish Heart-Lung foundation and the Region of Scania.
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Keywords
- Root Mean Square Error
- Regularity Term
- Linear Element
- Spatiotemporal Model
- Phase Contrast Magnetic Resonance Image
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References
Picano, E., Lattanzi, F., Orlandini, A., Marini, C.: Stress echocardiography and the human factor: the importance of being expert. Journal of the American College of Cardiology 83, 1262–1265 (1991)
McVeigh, E., Ozturk, C.: Imaging myocardial strain. IEEE Signal Processing Magazine 18(6), 44–56 (2001)
O’Dell, W.G., Moore, C.C., Hunter, W.C., Zerhouni, E.A., McVeigh, E.R.: Three-dimensional myocardial deformations: Calculation with displacement field fitting to tagged MR images. Radiology 195(3), 829–835 (1995)
Axel, L., Dougherty, L.: MR imaging of motion with spatial modulation of magnetization. Radiology 171, 841–845 (1989)
Zerhouni, E.A., Parish, D.M., Rogers, W.J., Yang, A., Shapiro, E.P.: Human-heart-tagging with mr imaging - a method for noninvasive assessment of myocardial motion. Radiology 169(1), 59–63 (1988)
McVeigh, E.: MRI of myocardial function: Motion tracking techniques. Magnetic Resonance Imaging 14, 137–150 (1996)
Masood, S., Yang, G., Pennell, D.J., Firmin, D.N.: Investigating intrinsic myocardial mechanics: The role of MR tagging, velocity phase mapping and diffusion imaging. Journal of Magnetic Resonance Imaging 12(6), 873–883 (2000)
Osman, N.F., McVeigh, E.R., Prince, J.L.: Imaging heart motion using harmonic phase MRI. IEEE Transactions on Medical Imaging 19(3), 186–202 (2000)
Pelc, N.J., Herfkens, R.J., Shimakawa, A., Enzmann, D.R.: Phase contrast cine magnetic resonance imaging. Magnetic Resonance Quarterly 7(4), 229–254 (1991)
van Wedeen, J.: Magnetic resonance imaging of myocardial kinematics. Techniques to detect, localize and quantify strain rates of the active human myocardium. Magnetic Resonance in Medicine 27(1), 52–67 (1992)
Robson, M.D., Constable, R.T.: Three-dimensional strain-rate imaging. Magnetic Resonance in Medicine 36(4), 537–546 (1996)
Arai, A.E., Gaither III., C.C., Epstein, F.H., Balaban, R.S., Wolff, S.D.: Myocardial velocity gradient imaging by phase contrast MRI with application to regional function in myocardial ischemia. Magnetic Resonance in Medicine 42(1), 98–109 (1999)
Selskog, P., Heiberg, E., Ebbers, T., Wigström, L., Karlsson, M.: Kinematics of the heart: Strain-rate imaging from time-resolved three-dimensional phase contrast MRI. IEEE Transactions on Medical Imaging 21(9), 1105–1109 (2002)
Constable, R.T., Rath, K.M., Sinusas, A.J., Gore, J.C.: Development and evaluation of tracking algorithms for cardiac wall motion analysis using phase velocity MR imaging. Magnetic Resonance in Medicine 32(1), 33–42 (1994)
Pelc, N.J., Drangova, M., Pelc, L.R., Zhu, Y., Noll, D.C., Bowman, B.S., Herfkens, R.J.: Tracking of cyclic motion using phase contrast cine mri velocity data. Journal of Magnetic Resonance Imaging 5(3), 339–345 (1995)
Meyer, F.G., Constable, T., Sinusas, A.J., Duncan, J.S.: Tracking myocardial deformation using phase contrast MR velocity fields: A stochastic approach. IEEE Transactions on Medical Imaging 15(4), 453–465 (1996)
Zhu, Y., Drangova, M., Pelc, N.J.: Fourier tracking of myocardial motion using cine-PC data. Magnetic Resonance in Medicine 35(4), 471–480 (1996)
Zhu, Y., Drangova, M., Pelc, N.J.: Estimation of deformation gradient and strain from cine-PC velocity data. IEEE Transactions on Medical Imaging 16(6), 840–851 (1997)
Zhu, Y., Pelc, N.J.: A spatiotemporal model of cyclic kinematics and its application to analyzing nonrigid motion with MR velocity images. IEEE Transactions on Medical Imaging 18(7), 557–569 (1999)
Chadwick, P.: Continuum Mechanics. Dover Publications, Mineola (1999)
Drangova, M., Zhu, Y., Pelc, N.J.: Effects of artifacts due to flowing blood reproducibility of phase-contrast measurements of myocardial motion. Journal of Magnetic Resonance Imaging 7(4), 664–668 (1997)
Bookstein, F.L.: Principal warps: thin-plate splines and the decomposition of deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence 11(6), 567–585 (1989)
Arts, T., Hunter, C., Douglas, A., Muijtens, M.M., Reneman, R.S.: Description of the deformation of the left ventricle by a kinematic model. Journal of Biomechanics 25(10), 1119–1127 (1992)
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Bergvall, E., Hedström, E., Arheden, H., Sparr, G. (2007). Model Based Cardiac Motion Tracking Using Velocity Encoded Magnetic Resonance Imaging. In: Ersbøll, B.K., Pedersen, K.S. (eds) Image Analysis. SCIA 2007. Lecture Notes in Computer Science, vol 4522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73040-8_9
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DOI: https://doi.org/10.1007/978-3-540-73040-8_9
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