Computational time-of-flight diffuse optical tomography

Ashley Lyons, Alessandro Boccolini, Francesco Tonolini, Audrey Repetti, Robert Henderson, Yves Wiaux, Daniele Franco Angelo Faccio

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)575-579
Number of pages5
JournalNature Photonics
Volume13
Issue number8
Early online date20 May 2019
DOIs
Publication statusPublished - Aug 2019

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Lyons, A., Boccolini, A., Tonolini, F., Repetti, A., Henderson, R., Wiaux, Y., & Faccio, D. F. A. (2019). Computational time-of-flight diffuse optical tomography. Nature Photonics, 13(8), 575-579. https://doi.org/10.1038/s41566-019-0439-x