Image restoration in radioisotopic imaging systems

Abstract
In radioisotope image visualization, the final image must be interpreted by the human visual system. However, an inherent blurring of the image limits the amount of useful information which can be extracted from it. Attempts have been made to restore the image by compensating for the degradation. By expressing the radioisotope image as a convolution integral of a true radioisotope distribution, with the spatial resolution of the imaging system, and by using an iterative approximation method for the evaluation of the integral, a 'restored image' is obtained. An experimental result on a profile scan demonstrates the applicability of the method to radioisotope imaging systems.

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