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Diffuse Optical Tomography based on time-resolved compressive sensing

Farina, A; Betcke, M; Di Sieno, L; Bassi, A; Ducros, N; Pifferi, A; Valentini, G; ... D 'Andrea, C; + view all (2017) Diffuse Optical Tomography based on time-resolved compressive sensing. In: Tromberg, BJ and Yodh, AG and SevickMuraca, EM and Alfano, RR, (eds.) Proceedings of SPIE Volume 10059. (pp. 100590I-1-100590I-6). SPIE Green open access

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Abstract

Diffuse Optical Tomography (DOT) can be described as a highly multidimensional problem generating a huge data set with long acquisition/computational times. Biological tissue behaves as a low pass filter in the spatial frequency domain, hence compressive sensing approaches, based on both patterned illumination and detection, are useful to reduce the data set while preserving the information content. In this work, a multiple-view time-domain compressed sensing DOT system is presented and experimentally validated on non-planar tissue-mimicking phantoms containing absorbing inclusions. © (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Type: Proceedings paper
Title: Diffuse Optical Tomography based on time-resolved compressive sensing
Event: Conference on Optical Tomography and Spectroscopy of Tissue XII
Location: San Francisco, CA
Dates: 30 January 2017 - 01 February 2017
ISBN-13: 978-1-5106-0560-2
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2252594
Publisher version: http://dx.doi.org/10.1117/12.2252594
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Radiology, Nuclear Medicine & Medical Imaging, Spectroscopy, Time-resolved, diffuse optical tomography, compressive sensing, single pixel camera, IMAGE-RECONSTRUCTION, TURBID MEDIA, LIGHT
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1559059
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