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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| Format: | Article |
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| Language: | English |
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Wiley
2006-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://www.hindawi.com/GetArticle.aspx?doi=10.1155/IJBI/2006/14989 |
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| collection | DOAJ |
| description | <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> |
| format | Article |
| id | doaj-art-3070abf9fa5c44edaa2e5f65b98e9e28 |
| institution | Kabale University |
| issn | 1687-4188 |
| language | English |
| publishDate | 2006-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-3070abf9fa5c44edaa2e5f65b98e9e282025-02-03T05:53:37ZengWileyInternational Journal of Biomedical Imaging1687-41882006-01-012006Local 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 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>http://www.hindawi.com/GetArticle.aspx?doi=10.1155/IJBI/2006/14989 |
| spellingShingle | Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves International Journal of Biomedical Imaging |
| 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 |
| url | http://www.hindawi.com/GetArticle.aspx?doi=10.1155/IJBI/2006/14989 |