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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...

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Detalles Bibliográficos
Autores principales: Li, Yi, Jiang, Ming, Wang, Ge
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
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.
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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
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