Two reconstruction methods that recognize smoothness to be a priori information and use numerically space-limited basis functions have been developed. The first method is a modification of the well-known convolution method and uses such basis functions for the projections. The second method is a continuous algebraic reconstruction technique that employs consistent basis functions for the projections as well as the distribution and makes use of other a priori information like the constraints on the domain as well as the range of the distribution in a rigorous way. The efficacy of these methods has been demonstrated using a limited number of projections synthetically generated from a distribution phantom.
© 1988 Optical Society of America
Original Manuscript: November 16, 1987
Published: October 1, 1988
M. Ravichandran and F. C. Gouldin, "Reconstruction of smooth distributions from a limited number of projections," Appl. Opt. 27, 4084-4097 (1988)