A new method of direct 3-D image reconstruction based on many-knot and finite series-expansion techniques is presented. On the basis of the method and a priori 3-D information, a reconstruction algorithm is developed. The problem of reducing the dimensionality of the sparse coefficient matrix is studied. Experimental results showed that the present method is effective for reconstruction from finite directional projection data.
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