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A Wavelet-Based Multiresolution Reconstruction Method for Fluorescent Molecular Tomography
Image reconstruction of fluorescent molecular tomography (FMT) often involves repeatedly solving large-dimensional matrix equations, which are computationally expensive, especially for the case where there are large deviations in the optical properties between the target and the reference medium. In...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2715901/ https://www.ncbi.nlm.nih.gov/pubmed/19644557 http://dx.doi.org/10.1155/2009/294545 |
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author | Zou, Wei Wang, Jiajun Wu, Kongpei Feng, David Dagan |
author_facet | Zou, Wei Wang, Jiajun Wu, Kongpei Feng, David Dagan |
author_sort | Zou, Wei |
collection | PubMed |
description | Image reconstruction of fluorescent molecular tomography (FMT) often involves repeatedly solving large-dimensional matrix equations, which are computationally expensive, especially for the case where there are large deviations in the optical properties between the target and the reference medium. In this paper, a wavelet-based multiresolution reconstruction approach is proposed for the FMT reconstruction in combination with a parallel forward computing strategy, in which both the forward and the inverse problems of FMT are solved in the wavelet domain. Simulation results demonstrate that the proposed approach can significantly speed up the reconstruction process and improve the image quality of FMT. |
format | Text |
id | pubmed-2715901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-27159012009-07-30 A Wavelet-Based Multiresolution Reconstruction Method for Fluorescent Molecular Tomography Zou, Wei Wang, Jiajun Wu, Kongpei Feng, David Dagan Int J Biomed Imaging Research Article Image reconstruction of fluorescent molecular tomography (FMT) often involves repeatedly solving large-dimensional matrix equations, which are computationally expensive, especially for the case where there are large deviations in the optical properties between the target and the reference medium. In this paper, a wavelet-based multiresolution reconstruction approach is proposed for the FMT reconstruction in combination with a parallel forward computing strategy, in which both the forward and the inverse problems of FMT are solved in the wavelet domain. Simulation results demonstrate that the proposed approach can significantly speed up the reconstruction process and improve the image quality of FMT. Hindawi Publishing Corporation 2009 2009-07-22 /pmc/articles/PMC2715901/ /pubmed/19644557 http://dx.doi.org/10.1155/2009/294545 Text en Copyright © 2009 Wei Zou 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 | Research Article Zou, Wei Wang, Jiajun Wu, Kongpei Feng, David Dagan A Wavelet-Based Multiresolution Reconstruction Method for Fluorescent Molecular Tomography |
title | A Wavelet-Based Multiresolution Reconstruction Method for Fluorescent Molecular Tomography |
title_full | A Wavelet-Based Multiresolution Reconstruction Method for Fluorescent Molecular Tomography |
title_fullStr | A Wavelet-Based Multiresolution Reconstruction Method for Fluorescent Molecular Tomography |
title_full_unstemmed | A Wavelet-Based Multiresolution Reconstruction Method for Fluorescent Molecular Tomography |
title_short | A Wavelet-Based Multiresolution Reconstruction Method for Fluorescent Molecular Tomography |
title_sort | wavelet-based multiresolution reconstruction method for fluorescent molecular tomography |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2715901/ https://www.ncbi.nlm.nih.gov/pubmed/19644557 http://dx.doi.org/10.1155/2009/294545 |
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