Journal article
Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves
International journal of biomedical imaging, Vol.2006(Special Issue), pp.14989-7
2006
DOI: 10.1155/IJBI/2006/14989
PMCID: PMC2324013
PMID: 23165018
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.
Details
- Title: Subtitle
- Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves
- Creators
- Hengyong Yu - University of IowaYangbo YeShiying ZhaoGe Wang
- Resource Type
- Journal article
- Publication Details
- International journal of biomedical imaging, Vol.2006(Special Issue), pp.14989-7
- DOI
- 10.1155/IJBI/2006/14989
- PMID
- 23165018
- PMCID
- PMC2324013
- NLM abbreviation
- Int J Biomed Imaging
- ISSN
- 1687-4188
- eISSN
- 1687-4196
- Grant note
- DOI: 10.13039/100000070, name: National Institute of Biomedical Imaging and Bioengineering, award: EB002667, EB004287
- Language
- English
- Date published
- 2006
- Academic Unit
- Mathematics
- Record Identifier
- 9984241038502771
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