Open AccessImage reconstruction for novel time domain near infrared optical tomography: towards clinical applications
Author(s) -
Jingjing Jiang,
Aldo Di Costanzo Mata,
Scott Lindner,
Chao Zhang,
Edoardo Charbon,
Martin Wolf,
Alexander Kalyanov
Publication year - 2020
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.398885
Subject(s) - diffuse optical imaging , imaging phantom , normalization (sociology) , optics , optical tomography , iterative reconstruction , multispectral image , computer science , optical coherence tomography , tomography , computer vision , biomedical engineering , materials science , physics , medicine , sociology , anthropology
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.