Efficient computation of projections in iterative SPECT reconstruction

Abstract
In calculating projections for iterative SPECT, a particularly time consuming part of the calculation is convolution of the activity at each depth by the point-spread function, using FFTs. We find that space-based convolutions with a short-range kernel are equivalent and faster, if one uses the central limit theorem to generate a gaussian, depth-dependent point- spread function. This technique is applied to forward and backward projections.

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