Abstract
Iterative regularization method to process captured data by color Doppler flow mapping has been proposed. It takes into account features of the ultrasound investigation and allows to solve the problem even in the case of noisy data and in the case of existing areas with unknown flow values. The influence of the values of regularization parameters on the obtained solution was analyzed. Test results for the left ventricle color Doppler flow mapping investigation showed effectiveness of the algorithm.
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References
Bioucas-Dias, J.M., Valadao, G.: Phase Unwrapping via Graph Cuts. IEEE Transactions on Image Processing 16(3), 698–709 (2007)
Yatchenko, A.M., Krylov, A.S., Gavrilov, A.V., Arkhipov, I.V.: Graph-cut based Antialiasing for Doppler Ultrasound Color Flow Medical Imaging. In: International Conference Visual Communications and Image Processing (VCIP 2011), Taiwan, pp. 1–4 (2011), doi:10.1109/VCIP.2011.6115923
Pritt, M.D., Shipman, J.S.: Least-squares two-dimensional phase unwrapping using FFTs. IEEE Transactions on Geoscience and Remote Sensing 32(3), 706–708 (1994)
Ghiglia, D.C., Romero, L.A.: Minimum Lp-norm two-dimensional phase unwrapping. J. Opt. Soc. Am. A 13(10), 1999–2013 (1996)
Yamaki, R., Hirose, A.: Singular Unit Restoration in Interferograms Based on Complex-Valued Markov Random Field Model for Phase Unwrapping. IEEE Geoscience and Remote Sensing Letters 6(1), 18–22 (2009)
Marroquin, J.L., Rivera, M.: Quadratic regularization functionals for phase unwrapping. J. Opt. Soc. Am. A 12(11), 2393–2400 (1995)
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Yatchenko, A., Krylov, A. (2013). Iterative Phase Unwrapping in Color Doppler Flow Mapping. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_41
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DOI: https://doi.org/10.1007/978-3-642-36669-7_41
Publisher Name: Springer, Berlin, Heidelberg
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