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International Journal of Biomedical Imaging
Volume 2006, Article ID 14989, 7 pages

Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves

1CT/Micro-CT Laboratory, Department of Radiology, University of Iowa, Iowa City, IA 52242, USA
2Department of Mathematics, University of Iowa, Iowa City, IA 52242, USA

Received 12 October 2005; Accepted 20 December 2005

Copyright © 2006 Hengyong Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We study the local region-of-interest (ROI) reconstruction problem, also referred to as the local CT problem. Our scheme includes two steps: (a) the local truncated normal-dose projections are extended to global dataset by combining a few global low-dose projections; (b) the ROI are reconstructed by either the generalized filtered backprojection (FBP) or backprojection-filtration (BPF) algorithms. The simulation results show that both the FBP and BPF algorithms can reconstruct satisfactory results with image quality in the ROI comparable to that of the corresponding global CT reconstruction.