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research article

Image reconstruction for novel time domain near infrared optical tomography: towards clinical applications

Jiang, Jingjing
•
Mata, Aldo Di Costanzo
•
Lindner, Scott  
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August 1, 2020
Biomedical Optics Express

Near infrared optical tomography (NIROT) is an emerging modality that enables imaging the oxygenation of tissue, which is a biomarker of tremendous clinical relevance. Measuring in reflectance is usually required when NIROT is applied in clinical scenarios. Single photon avalanche diode (SPAD) array technology provides a compact solution for time domain (TD) NIROT to gain huge temporal and spatial information. This makes it possible to image complex structures in tissue. The main aim of this paper is to validate the wavelength normalization method for our new TD NIROT experimentally by exposing it to a particularly difficult challenge: the recovery of two inclusions at different depths. The proposed reconstruction algorithm aims to tackle systematic errors and other artifacts with known wavelength-dependent relation. We validated the device and reconstruction method experimentally on a silicone phantom with two inclusions: one at depth of 10 mm and the other at 15 mm. Despite this tough challenge for reflectance NIROT, the system was able to localize both inclusions accurately. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

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Type
research article
DOI
10.1364/BOE.398885
Web of Science ID

WOS:000577451600047

Author(s)
Jiang, Jingjing
Mata, Aldo Di Costanzo
Lindner, Scott  
Zhang, Chao
Charbon, Edoardo  
Wolf, Martin
Kalyanov, Alexander
Date Issued

2020-08-01

Published in
Biomedical Optics Express
Volume

11

Issue

8

Start page

4723

End page

4734

Subjects

Biochemical Research Methods

•

Optics

•

Radiology, Nuclear Medicine & Medical Imaging

•

Biochemistry & Molecular Biology

•

human brain

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
C3MP  
Available on Infoscience
October 29, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/172846
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