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

<p>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 reconst...

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Bibliographic Details
Format: Article
Language:English
Published: Hindawi Limited 2006-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://www.hindawi.com/GetArticle.aspx?doi=10.1155/IJBI/2006/14989
Description
Summary:<p>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.</p>
ISSN:1687-4188