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

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...

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Detalles Bibliográficos
Autores principales: Yu, Hengyong, Ye, Yangbo, Zhao, Shiying, Wang, Ge
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2006
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2324013/
https://www.ncbi.nlm.nih.gov/pubmed/23165018
http://dx.doi.org/10.1155/IJBI/2006/14989
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author Yu, Hengyong
Ye, Yangbo
Zhao, Shiying
Wang, Ge
author_facet Yu, Hengyong
Ye, Yangbo
Zhao, Shiying
Wang, Ge
author_sort Yu, Hengyong
collection PubMed
description 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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spelling pubmed-23240132008-04-22 Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves Yu, Hengyong Ye, Yangbo Zhao, Shiying Wang, Ge Int J Biomed Imaging Article 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. Hindawi Publishing Corporation 2006 2006-02-05 /pmc/articles/PMC2324013/ /pubmed/23165018 http://dx.doi.org/10.1155/IJBI/2006/14989 Text en Copyright © 2006 H. Yu et al. https://creativecommons.org/licenses/by/3.0/ 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.
spellingShingle Article
Yu, Hengyong
Ye, Yangbo
Zhao, Shiying
Wang, Ge
Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves
title Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves
title_full Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves
title_fullStr Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves
title_full_unstemmed Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves
title_short Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves
title_sort local roi reconstruction via generalized fbp and bpf algorithms along more flexible curves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2324013/
https://www.ncbi.nlm.nih.gov/pubmed/23165018
http://dx.doi.org/10.1155/IJBI/2006/14989
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AT zhaoshiying localroireconstructionviageneralizedfbpandbpfalgorithmsalongmoreflexiblecurves
AT wangge localroireconstructionviageneralizedfbpandbpfalgorithmsalongmoreflexiblecurves

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