title: Local computed tomography via iterative deblurring.
abstract: X-ray computed tomography is a major imaging modality. An iterative deblurring method is adapted for local reconstruction in parallel-beam and cone-beam geometries, utilizing only x-rays passing through a region of interest. The feasibility is demonstrated in numerical simulation with noise-free and noisy projection data. The iterative deblurring method has the theoretical advantages of maintaining nonnegativity, converging monotonically and minimizing Csiszàr's I-divergence.
authors.affiliation: Mallinckrodt Institute of Radiology, Washington University, Saint Louis, MO 63110, USA. gwang@brian.wustl.edu
authors.forename: G
authors.initials: G
authors.lastname: Wang
authors.forename: D L
authors.initials: DL
authors.lastname: Snyder
authors.forename: M W
authors.initials: MW
authors.lastname: Vannier
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D014056:Tomography, X-Ray / Q000379:methods*