Abstract
A least-squares technique is described for estimating a large number of projections from a smaller number. The technique requires a knowledge of the external size and shape of the object from which projection views are made. Reconstructions made from the estimated views are not so artifact free as those made from the same amount of measured data, but they are substantially better than reconstructions made directly from the smaller amount of data using the filtered back-projection technique. The method of estimation permits a means of controlling noise that may be varied to fit local conditions.
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