Local computed tomography via iterative deblurring.
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.
Wang
G
G
Mallinckrodt Institute of Radiology, Washington University, Saint Louis, MO 63110, USA. gwang@brian.wustl.edu
Snyder
D L
DL
Vannier
M W
MW
D000465:Algorithms; D003198:Computer Simulation; D014056:Tomography, X-Ray / Q000379:methods*