Abstract
The resolving power of an ultrasonic imaging system is defined by the frequency content of the emitted signal and the aperture of the transducer. In the field of echocardiography unfavourable conditions concerning signal frequency and transducer size demand an optimal use of the available spatial bandwidth. In many ultrasonic imaging systems the actual resolution is far below the theoretical limit due to limited data processing facilities. In the present study a digital computer is used to investigate the features of a posteriori two-dimensional deconvolution techniques — inverse filtering — carried out on the received echosignals in order to optimize the spatial resolution of the echo imaging system
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References
Berkhout, A.J., 1977, Least-squares inverse filtering and wavelet deconvolutionGeophysics, vol. 42, no. 7, pp. 1369 – 1383
Berkhout, A.J., 1982, Seismic Migration, Elsevier Scientific Publishing company, Amsterdam-Oxford-New York
Hundt, E.E., and Trautenberg, E.A., 1980, Digital processing of ultrasonic data by deconvolutionIEEE Trans. Son. Ultrason, vol. SU-27, pp. 249 – 252
Lui, C.N., Fatemi, M., and Waag, R.C., 1983, Digital processing for improvement of ultrasonic abdominal imagesIEEE Trans. Med. Imag, vol. MI-2. No. 2, pp. 66 – 75
Martens, W.L.J., Somer, J.C., Hoeks, A.P.G., and Smeets, F.A.M., 1980, “Optimal” inverse filtering and matched filtering and their relations to in vivo echographic tissue differentiationIn: ultrasonic tissue characterization, 1980, Ed. J.M. Thijssen, pp. 245–256
Wiener, N., 1949, Extrapolation, interpolation and smoothing of stationary time series. Cambridge, MA: MIT Press and New York: Wiley
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© 1985 Plenum Press, New York
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Jeurens, T.J.M., Somer, J.C., Smeets, F.A.M., Hoeks, A.P.G. (1985). Two-Dimensional Wiener Inverse Filtering in Echographic Imaging: Possibilities and Restrictions. In: Berkhout, A.J., Ridder, J., van der Wal, L.F. (eds) Acoustical Imaging. Acoustical Imaging, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2523-9_43
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DOI: https://doi.org/10.1007/978-1-4613-2523-9_43
Publisher Name: Springer, Boston, MA
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