Real-Time Dual-Wavelength Time-Resolved Diffuse Optical Tomography System for Functional Brain Imaging Based on Probe-Hosted Silicon Photomultipliers.
Type
ArticleAuthors
Orive-Miguel, DavidDi Sieno, Laura

Behera, Anurag
Ferocino, Edoardo

Contini, Davide
Condat, Laurent
Hervé, Lionel

Mars, Jérôme
Torricelli, Alessandro
Pifferi, Antonio

Dalla Mora, Alberto

KAUST Department
Visual Computing Center (VCC)Date
2020-05-15Submitted Date
2020-04-06Permanent link to this record
http://hdl.handle.net/10754/662935
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Show full item recordAbstract
Near-infrared diffuse optical tomography is a non-invasive photonics-based imaging technology suited to functional brain imaging applications. Recent developments have proved that it is possible to build a compact time-domain diffuse optical tomography system based on silicon photomultipliers (SiPM) detectors. The system presented in this paper was equipped with the same eight SiPM probe-hosted detectors, but was upgraded with six injection fibers to shine the sample at several points. Moreover, an automatic switch was included enabling a complete measurement to be performed in less than one second. Further, the system was provided with a dual-wavelength ( 670 n m and 820 n m ) light source to quantify the oxy- and deoxy-hemoglobin concentration evolution in the tissue. This novel system was challenged against a solid phantom experiment, and two in-vivo tests, namely arm occlusion and motor cortex brain activation. The results show that the tomographic system makes it possible to follow the evolution of brain activation over time with a 1 s -resolution.Citation
Orive-Miguel, D., Di Sieno, L., Behera, A., Ferocino, E., Contini, D., Condat, L., … Dalla Mora, A. (2020). Real-Time Dual-Wavelength Time-Resolved Diffuse Optical Tomography System for Functional Brain Imaging Based on Probe-Hosted Silicon Photomultipliers. Sensors, 20(10), 2815. doi:10.3390/s20102815Sponsors
This research has received funding from the European Union’s Horizon 2020 Marie Skodowska-Curie Innovative Training Networks (ITN-ETN) programme, under Grant Agreement No. 675332 BitMap.Publisher
MDPI AGJournal
SensorsPubMed ID
32429158Additional Links
https://www.mdpi.com/1424-8220/20/10/2815ae974a485f413a2113503eed53cd6c53
10.3390/s20102815
Scopus Count
Except where otherwise noted, this item's license is described as This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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