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Publication
IEEE T-MI
Paper
Image Recovery in Computer Tomography from Partial Fan-Beam Data by Convex Projections
Abstract
We address the problem of recovering a CT image from partial fan-beam data and prior knowledge. The method used is that of convex projections also known as the method of projections onto convex sets (POCS). We consider several incomplete-data geometries including those associated with limited source travel and beam-blocking internal opacities. To enable the recovery we use several prior-knowledge constraints including one associated with the directivity of the image vector. The overall recovery algorithm can be practically implemented by exploiting the Toeplitz structure of key operators. © 1992 IEEE