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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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/IJBI/2006/14989 |
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doaj-907742e82d3a40caa0c546b213216d952020-11-25T00:20:58ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962006-01-01200610.1155/IJBI/2006/1498914989Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible CurvesHengyong Yu0Yangbo Ye1Shiying Zhao2Ge Wang3CT/Micro-CT Laboratory, Department of Radiology, University of Iowa, Iowa City, IA 52242, USACT/Micro-CT Laboratory, Department of Radiology, University of Iowa, Iowa City, IA 52242, USACT/Micro-CT Laboratory, Department of Radiology, University of Iowa, Iowa City, IA 52242, USACT/Micro-CT Laboratory, Department of Radiology, University of Iowa, Iowa City, IA 52242, USAWe 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.http://dx.doi.org/10.1155/IJBI/2006/14989 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hengyong Yu Yangbo Ye Shiying Zhao Ge Wang |
spellingShingle |
Hengyong Yu Yangbo Ye Shiying Zhao Ge Wang Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves International Journal of Biomedical Imaging |
author_facet |
Hengyong Yu Yangbo Ye Shiying Zhao Ge Wang |
author_sort |
Hengyong Yu |
title |
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_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_sort |
local roi reconstruction via generalized fbp and bpf algorithms along more flexible curves |
publisher |
Hindawi Limited |
series |
International Journal of Biomedical Imaging |
issn |
1687-4188 1687-4196 |
publishDate |
2006-01-01 |
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. |
url |
http://dx.doi.org/10.1155/IJBI/2006/14989 |
work_keys_str_mv |
AT hengyongyu localroireconstructionviageneralizedfbpandbpfalgorithmsalongmoreflexiblecurves AT yangboye localroireconstructionviageneralizedfbpandbpfalgorithmsalongmoreflexiblecurves AT shiyingzhao localroireconstructionviageneralizedfbpandbpfalgorithmsalongmoreflexiblecurves AT gewang localroireconstructionviageneralizedfbpandbpfalgorithmsalongmoreflexiblecurves |
_version_ |
1725364668185182208 |