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.

LanguageEnglish
Number of pages7
JournalNature Photonics
Early online date20 May 2019
DOIs
Publication statusE-pub ahead of print - 20 May 2019

Fingerprint

Optical tomography
tomography
Imaging techniques
photons
mean free path
acquisition
cameras
Photons
Medical imaging
Cameras
Tissue
Processing

ASJC Scopus subject areas

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

Cite this

Lyons, Ashley ; Boccolini, Alessandro ; Tonolini, Francesco ; Repetti, Audrey ; Henderson, Robert ; Wiaux, Yves ; Faccio, Daniele Franco Angelo. / Computational time-of-flight diffuse optical tomography. In: Nature Photonics. 2019.
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Computational time-of-flight diffuse optical tomography. / Lyons, Ashley; Boccolini, Alessandro; Tonolini, Francesco; Repetti, Audrey; Henderson, Robert; Wiaux, Yves; Faccio, Daniele Franco Angelo.

In: Nature Photonics, 20.05.2019.

Research output: Contribution to journalArticle

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AU - Wiaux, Yves

AU - Faccio, Daniele Franco Angelo

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