Research Article

Adaptive Autoregressive Model for Reduction of Noise in SPECT

Figure 2

Transaxial slice of the Zubal phantom. (a) Poisson-noise-corrupted transaxial slice. (b) Iteratively filtered predictable image. (c) Filtered summed error term image. (d) The final image. The images are individually scaled to their own maximum. Inverse linear grey scale is used for comparison with original phantom. The total count level is 108791 in the Poisson-noise-corrupted image, 102237 in the iteratively filtered predictable image, and 6205 in the filtered summed error term image.
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