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A boundary migration model for imaging within volumetric scattering media

Effectively imaging within volumetric scattering media is of great importance and challenging especially in macroscopic applications. Recent works have demonstrated the ability to image through scattering media or within the weak volumetric scattering media using spatial distribution or temporal cha...

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Autores principales: Du, Dongyu, Jin, Xin, Deng, Rujia, Kang, Jinshi, Cao, Hongkun, Fan, Yihui, Li, Zhiheng, Wang, Haoqian, Ji, Xiangyang, Song, Jingyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184484/
https://www.ncbi.nlm.nih.gov/pubmed/35680924
http://dx.doi.org/10.1038/s41467-022-30948-7
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author Du, Dongyu
Jin, Xin
Deng, Rujia
Kang, Jinshi
Cao, Hongkun
Fan, Yihui
Li, Zhiheng
Wang, Haoqian
Ji, Xiangyang
Song, Jingyan
author_facet Du, Dongyu
Jin, Xin
Deng, Rujia
Kang, Jinshi
Cao, Hongkun
Fan, Yihui
Li, Zhiheng
Wang, Haoqian
Ji, Xiangyang
Song, Jingyan
author_sort Du, Dongyu
collection PubMed
description Effectively imaging within volumetric scattering media is of great importance and challenging especially in macroscopic applications. Recent works have demonstrated the ability to image through scattering media or within the weak volumetric scattering media using spatial distribution or temporal characteristics of the scattered field. Here, we focus on imaging Lambertian objects embedded in highly scattering media, where signal photons are dramatically attenuated during propagation and highly coupled with background photons. We address these challenges by providing a time-to-space boundary migration model (BMM) of the scattered field to convert the scattered measurements in spectral form to the scene information in the temporal domain using all of the optical signals. The experiments are conducted under two typical scattering scenarios: 2D and 3D Lambertian objects embedded in the polyethylene foam and the fog, which demonstrate the effectiveness of the proposed algorithm. It outperforms related works including time gating in terms of reconstruction precision and scattering strength. Even though the proportion of signal photons is only 0.75%, Lambertian objects located at more than 25 transport mean free paths (TMFPs), corresponding to the round-trip scattering length of more than 50 TMFPs, can be reconstructed. Also, the proposed method provides low reconstruction complexity and millisecond-scale runtime, which significantly benefits its application.
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spelling pubmed-91844842022-06-11 A boundary migration model for imaging within volumetric scattering media Du, Dongyu Jin, Xin Deng, Rujia Kang, Jinshi Cao, Hongkun Fan, Yihui Li, Zhiheng Wang, Haoqian Ji, Xiangyang Song, Jingyan Nat Commun Article Effectively imaging within volumetric scattering media is of great importance and challenging especially in macroscopic applications. Recent works have demonstrated the ability to image through scattering media or within the weak volumetric scattering media using spatial distribution or temporal characteristics of the scattered field. Here, we focus on imaging Lambertian objects embedded in highly scattering media, where signal photons are dramatically attenuated during propagation and highly coupled with background photons. We address these challenges by providing a time-to-space boundary migration model (BMM) of the scattered field to convert the scattered measurements in spectral form to the scene information in the temporal domain using all of the optical signals. The experiments are conducted under two typical scattering scenarios: 2D and 3D Lambertian objects embedded in the polyethylene foam and the fog, which demonstrate the effectiveness of the proposed algorithm. It outperforms related works including time gating in terms of reconstruction precision and scattering strength. Even though the proportion of signal photons is only 0.75%, Lambertian objects located at more than 25 transport mean free paths (TMFPs), corresponding to the round-trip scattering length of more than 50 TMFPs, can be reconstructed. Also, the proposed method provides low reconstruction complexity and millisecond-scale runtime, which significantly benefits its application. Nature Publishing Group UK 2022-06-09 /pmc/articles/PMC9184484/ /pubmed/35680924 http://dx.doi.org/10.1038/s41467-022-30948-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Du, Dongyu
Jin, Xin
Deng, Rujia
Kang, Jinshi
Cao, Hongkun
Fan, Yihui
Li, Zhiheng
Wang, Haoqian
Ji, Xiangyang
Song, Jingyan
A boundary migration model for imaging within volumetric scattering media
title A boundary migration model for imaging within volumetric scattering media
title_full A boundary migration model for imaging within volumetric scattering media
title_fullStr A boundary migration model for imaging within volumetric scattering media
title_full_unstemmed A boundary migration model for imaging within volumetric scattering media
title_short A boundary migration model for imaging within volumetric scattering media
title_sort boundary migration model for imaging within volumetric scattering media
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184484/
https://www.ncbi.nlm.nih.gov/pubmed/35680924
http://dx.doi.org/10.1038/s41467-022-30948-7
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