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Inclusion of a priori information in frequency space for quantitative SPECT imaging

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5 Author(s)
Jui-Hsi Cheng ; Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA ; Zhengrong Liang ; Li, J. ; Ye, J.
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A Wiener filter has been designed for noise suppression in SPECT. To implement this filter, the authors used a square-root transform and designed a butterfly window and a weighting window to improve the estimation of the power spectra of the noise, the measurement, and the signal. These two windows were derived based on the frequency distribution of noise-free sinograms. Simulations and experiments were performed using the Hoffman brain phantom. The results show the advantage over the traditional implementation of low pass filter

Published in:

Nuclear Science Symposium, 1996. Conference Record., 1996 IEEE  (Volume:3 )

Date of Conference:

2-9 Nov 1996