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Analysis of skin lesions using laminar optical tomography
Evaluation of suspicious skin lesions by dermatologists is usually accomplished using white light examination and direct punch or surgical biopsy. However, these techniques can be imprecise for estimating a lesion’s margin or level of dermal invasion when planning surgical resection. Laminar optical...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395492/ https://www.ncbi.nlm.nih.gov/pubmed/22808439 http://dx.doi.org/10.1364/BOE.3.001701 |
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author | Muldoon, Timothy J. Burgess, Sean A. Chen, Brenda R. Ratner, Désirée Hillman, Elizabeth M. C. |
author_facet | Muldoon, Timothy J. Burgess, Sean A. Chen, Brenda R. Ratner, Désirée Hillman, Elizabeth M. C. |
author_sort | Muldoon, Timothy J. |
collection | PubMed |
description | Evaluation of suspicious skin lesions by dermatologists is usually accomplished using white light examination and direct punch or surgical biopsy. However, these techniques can be imprecise for estimating a lesion’s margin or level of dermal invasion when planning surgical resection. Laminar optical tomography (LOT) is an imaging technique capable of acquiring depth-sensitive information within scattering tissues. Here, we explore whether LOT data can be used to predict the depth and thickness of pigmented lesions using a range of simulations and phantom models. We then compare these results to LOT data acquired on normal and malignant skin lesions in vivo. |
format | Online Article Text |
id | pubmed-3395492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-33954922012-07-17 Analysis of skin lesions using laminar optical tomography Muldoon, Timothy J. Burgess, Sean A. Chen, Brenda R. Ratner, Désirée Hillman, Elizabeth M. C. Biomed Opt Express Optics in Cancer Research Evaluation of suspicious skin lesions by dermatologists is usually accomplished using white light examination and direct punch or surgical biopsy. However, these techniques can be imprecise for estimating a lesion’s margin or level of dermal invasion when planning surgical resection. Laminar optical tomography (LOT) is an imaging technique capable of acquiring depth-sensitive information within scattering tissues. Here, we explore whether LOT data can be used to predict the depth and thickness of pigmented lesions using a range of simulations and phantom models. We then compare these results to LOT data acquired on normal and malignant skin lesions in vivo. Optical Society of America 2012-06-22 /pmc/articles/PMC3395492/ /pubmed/22808439 http://dx.doi.org/10.1364/BOE.3.001701 Text en ©2012 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially. |
spellingShingle | Optics in Cancer Research Muldoon, Timothy J. Burgess, Sean A. Chen, Brenda R. Ratner, Désirée Hillman, Elizabeth M. C. Analysis of skin lesions using laminar optical tomography |
title | Analysis of skin lesions using laminar optical tomography |
title_full | Analysis of skin lesions using laminar optical tomography |
title_fullStr | Analysis of skin lesions using laminar optical tomography |
title_full_unstemmed | Analysis of skin lesions using laminar optical tomography |
title_short | Analysis of skin lesions using laminar optical tomography |
title_sort | analysis of skin lesions using laminar optical tomography |
topic | Optics in Cancer Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395492/ https://www.ncbi.nlm.nih.gov/pubmed/22808439 http://dx.doi.org/10.1364/BOE.3.001701 |
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