Cargando…
Image Reconstruction for Diffuse Optical Tomography Based on Radiative Transfer Equation
Diffuse optical tomography is a novel molecular imaging technology for small animal studies. Most known reconstruction methods use the diffusion equation (DA) as forward model, although the validation of DA breaks down in certain situations. In this work, we use the radiative transfer equation as fo...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4310238/ https://www.ncbi.nlm.nih.gov/pubmed/25648064 http://dx.doi.org/10.1155/2015/286161 |
_version_ | 1782354833754292224 |
---|---|
author | Bi, Bo Han, Bo Han, Weimin Tang, Jinping Li, Li |
author_facet | Bi, Bo Han, Bo Han, Weimin Tang, Jinping Li, Li |
author_sort | Bi, Bo |
collection | PubMed |
description | Diffuse optical tomography is a novel molecular imaging technology for small animal studies. Most known reconstruction methods use the diffusion equation (DA) as forward model, although the validation of DA breaks down in certain situations. In this work, we use the radiative transfer equation as forward model which provides an accurate description of the light propagation within biological media and investigate the potential of sparsity constraints in solving the diffuse optical tomography inverse problem. The feasibility of the sparsity reconstruction approach is evaluated by boundary angular-averaged measurement data and internal angular-averaged measurement data. Simulation results demonstrate that in most of the test cases the reconstructions with sparsity regularization are both qualitatively and quantitatively more reliable than those with standard L (2) regularization. Results also show the competitive performance of the split Bregman algorithm for the DOT image reconstruction with sparsity regularization compared with other existing L (1) algorithms. |
format | Online Article Text |
id | pubmed-4310238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-43102382015-02-03 Image Reconstruction for Diffuse Optical Tomography Based on Radiative Transfer Equation Bi, Bo Han, Bo Han, Weimin Tang, Jinping Li, Li Comput Math Methods Med Research Article Diffuse optical tomography is a novel molecular imaging technology for small animal studies. Most known reconstruction methods use the diffusion equation (DA) as forward model, although the validation of DA breaks down in certain situations. In this work, we use the radiative transfer equation as forward model which provides an accurate description of the light propagation within biological media and investigate the potential of sparsity constraints in solving the diffuse optical tomography inverse problem. The feasibility of the sparsity reconstruction approach is evaluated by boundary angular-averaged measurement data and internal angular-averaged measurement data. Simulation results demonstrate that in most of the test cases the reconstructions with sparsity regularization are both qualitatively and quantitatively more reliable than those with standard L (2) regularization. Results also show the competitive performance of the split Bregman algorithm for the DOT image reconstruction with sparsity regularization compared with other existing L (1) algorithms. Hindawi Publishing Corporation 2015 2015-01-14 /pmc/articles/PMC4310238/ /pubmed/25648064 http://dx.doi.org/10.1155/2015/286161 Text en Copyright © 2015 Bo Bi 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 Bi, Bo Han, Bo Han, Weimin Tang, Jinping Li, Li Image Reconstruction for Diffuse Optical Tomography Based on Radiative Transfer Equation |
title | Image Reconstruction for Diffuse Optical Tomography Based on Radiative Transfer Equation |
title_full | Image Reconstruction for Diffuse Optical Tomography Based on Radiative Transfer Equation |
title_fullStr | Image Reconstruction for Diffuse Optical Tomography Based on Radiative Transfer Equation |
title_full_unstemmed | Image Reconstruction for Diffuse Optical Tomography Based on Radiative Transfer Equation |
title_short | Image Reconstruction for Diffuse Optical Tomography Based on Radiative Transfer Equation |
title_sort | image reconstruction for diffuse optical tomography based on radiative transfer equation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4310238/ https://www.ncbi.nlm.nih.gov/pubmed/25648064 http://dx.doi.org/10.1155/2015/286161 |
work_keys_str_mv | AT bibo imagereconstructionfordiffuseopticaltomographybasedonradiativetransferequation AT hanbo imagereconstructionfordiffuseopticaltomographybasedonradiativetransferequation AT hanweimin imagereconstructionfordiffuseopticaltomographybasedonradiativetransferequation AT tangjinping imagereconstructionfordiffuseopticaltomographybasedonradiativetransferequation AT lili imagereconstructionfordiffuseopticaltomographybasedonradiativetransferequation |