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

Yu, Hengyong; Ye, Yangbo; Zhao, Shiying; Wang, Ge

doi:https://doi.org/10.1155/IJBI/2006/14989

International Journal of Biomedical Imaging

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Development of Computed Tomography Algorithms

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Volume 2006 | Article ID 014989 | https://doi.org/10.1155/IJBI/2006/14989

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

Hengyong Yu,¹Yangbo Ye,^1,2Shiying Zhao,¹and Ge Wang^1,2

Received12 Oct 2005

Accepted20 Dec 2005

Published05 Feb 2006

Abstract

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.

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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.

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