Abstract
This study investigates the performance of the Empirical Mode Decomposition (EMD) method in application to the ultrasonic cardiological data. Data acquired using self-made phantom are subjected to 1D and 2D EMD algorithms. The 1D EMD yields higher signal to noise ratio improvement than the 2D EMD. In the first case upsampling only along the RF lines is necessary, whereas in the second case upsampling in both directions is required. The first IMF appears best suited for the segmentation and the 1D EMD results in IMF more suitable for segmentation that the 2D EMD.
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References
Gao, L., Parker, K.J., Lerner, R.M., Levinson, S.F.: Imaging of the elastic properties of tissue – a review. Ultrasound Med. Biol., 959–977 (1996)
Huang, N.E.: The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. Roy Soc. London A 454(4), 903–995 (1998)
Flandrin, P., Rilling, G., Goncalves, P.: Empirical Mode Decomposition as a filter bank. IEEE Sig. Proc. Lett. 11, 112–114 (2004)
Rilling, G., Flandrin, P., GonÁalves, P.: On Empirical Mode Decomposition and its algorithms. In: IEEE-EURASIP Workshop NSIP 2003 (2003)
Heyde, B., Cygan, S., Choi, H.F., Lesniak-Plewinska, B., Barbosa, D., Elen, A., Claus, P., Loeckx, D., Kaluzynski, K., D’hooge, J.: Regional Cardiac Motion and Strain Estimation in Three-Dimensional Echocardiography: A Validation Study in Thick-Walled Univentricular Phantoms. IEEE Trans. UFFC, 668–682 (2012)
Qin, X., Liu, S., Zhengqiang, W., Han, J.: Medical Image Enhancement Method Based on 2D Empirical Mode Decomposition. Bioinformatics and Biomedical Engineering, 2533–2536 (2008)
Haidekker, M.A.: Advanced biomedical image analysis, pp. 173–211, 276–310 . John Wiley & Sons, Inc., New Jersey (2011)
Rilling, G., Flandrin, P.: On the influence of sampling on the Empirical Mode Decomposition. In: IEEE Int. ASSP Conf. (2006)
Stevenson, N., Mesbah, M., Boashash, B.: A sampling limit for the empirical mode decomposition. In: Proc. 8 Int. Symp., Signal Processing and Its Applications SPIA (2005)
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Kubik, T., Kałużyński, K., Cygan, S., Mikołajczyk, K. (2014). Evaluation of the Empirical Mode Decomposition Method as a Tool for Preprocessing Ultrasonic Cardiological Data. In: Březina, T., Jabloński, R. (eds) Mechatronics 2013. Springer, Cham. https://doi.org/10.1007/978-3-319-02294-9_100
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DOI: https://doi.org/10.1007/978-3-319-02294-9_100
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02293-2
Online ISBN: 978-3-319-02294-9
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