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Computational optical biopsy
Optical molecular imaging is based on fluorescence or bioluminescence, and hindered by photon scattering in the tissue, especially in patient studies. Here we propose a computational optical biopsy (COB) approach to localize and quantify a light source deep inside a subject. In contrast to existing...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1185552/ https://www.ncbi.nlm.nih.gov/pubmed/15955235 http://dx.doi.org/10.1186/1475-925X-4-36 |
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author | Li, Yi Jiang, Ming Wang, Ge |
author_facet | Li, Yi Jiang, Ming Wang, Ge |
author_sort | Li, Yi |
collection | PubMed |
description | Optical molecular imaging is based on fluorescence or bioluminescence, and hindered by photon scattering in the tissue, especially in patient studies. Here we propose a computational optical biopsy (COB) approach to localize and quantify a light source deep inside a subject. In contrast to existing optical biopsy techniques, our scheme is to collect optical signals directly from a region of interest along one or multiple biopsy paths in a subject, and then compute features of an underlying light source distribution. In this paper, we formulate this inverse problem in the framework of diffusion approximation, demonstrate the solution uniqueness properties in two representative configurations, and obtain analytic solutions for reconstruction of both optical properties and source parameters. |
format | Text |
id | pubmed-1185552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-11855522005-08-13 Computational optical biopsy Li, Yi Jiang, Ming Wang, Ge Biomed Eng Online Research Optical molecular imaging is based on fluorescence or bioluminescence, and hindered by photon scattering in the tissue, especially in patient studies. Here we propose a computational optical biopsy (COB) approach to localize and quantify a light source deep inside a subject. In contrast to existing optical biopsy techniques, our scheme is to collect optical signals directly from a region of interest along one or multiple biopsy paths in a subject, and then compute features of an underlying light source distribution. In this paper, we formulate this inverse problem in the framework of diffusion approximation, demonstrate the solution uniqueness properties in two representative configurations, and obtain analytic solutions for reconstruction of both optical properties and source parameters. BioMed Central 2005-06-14 /pmc/articles/PMC1185552/ /pubmed/15955235 http://dx.doi.org/10.1186/1475-925X-4-36 Text en Copyright © 2005 Li et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Li, Yi Jiang, Ming Wang, Ge Computational optical biopsy |
title | Computational optical biopsy |
title_full | Computational optical biopsy |
title_fullStr | Computational optical biopsy |
title_full_unstemmed | Computational optical biopsy |
title_short | Computational optical biopsy |
title_sort | computational optical biopsy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1185552/ https://www.ncbi.nlm.nih.gov/pubmed/15955235 http://dx.doi.org/10.1186/1475-925X-4-36 |
work_keys_str_mv | AT liyi computationalopticalbiopsy AT jiangming computationalopticalbiopsy AT wangge computationalopticalbiopsy |