Lyons, A. , Tonolini, F., Boccolini, A., Repetti, A., Henderson, R., Wiaux, Y. and Faccio, D. (2019) Computational time-of-flight diffuse optical tomography. Nature Photonics, 13(8), pp. 575-579. (doi: 10.1038/s41566-019-0439-x)
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Abstract
Imaging through a strongly diffusive medium remains an outstanding challenge, in particular in applications in biological and medical imaging. Here, we propose a method based on a single-photon time-of-flight camera that allows, in combination with computational processing of the spatial and full temporal photon distribution data, imaging of an object embedded inside a strongly diffusive medium over more than 80 transport mean free paths. The technique is contactless and requires 1 s acquisition times, thus allowing Hz frame rate imaging. The imaging depth corresponds to several centimetres of human tissue and allows us to perform deep-body imaging as a proof of principle.
Item Type: | Articles |
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Additional Information: | D.F. acknowledges financial support from the Engineering and Physical Sciences Research Council (EPSRC, UK, Grant No. EP/M006514/1) |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Lyons, Dr Ashley and Tonolini, Francesco and Faccio, Professor Daniele |
Authors: | Lyons, A., Tonolini, F., Boccolini, A., Repetti, A., Henderson, R., Wiaux, Y., and Faccio, D. |
College/School: | College of Science and Engineering > School of Computing Science College of Science and Engineering > School of Physics and Astronomy |
Journal Name: | Nature Photonics |
Publisher: | Nature Research |
ISSN: | 1749-4885 |
ISSN (Online): | 1749-4893 |
Published Online: | 20 May 2019 |
Copyright Holders: | Copyright © 2019 The Authors |
First Published: | First published in Nature Photonics 13(8): 575-579 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
Data DOI: | 10.5525/gla.researchdata.642 |
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