A diffuse optical tomography system for whole-brain functional imaging in mice using multiple camera views (Conference Presentation)

Author(s):  
Zachary E. Markow ◽  
Matthew D. Reisman ◽  
Adam Q. Bauer ◽  
Adam T. Eggebrecht ◽  
Mark A. Anastasio ◽  
...  
2016 ◽  
Vol 7 (10) ◽  
pp. 4275 ◽  
Author(s):  
Danial Chitnis ◽  
Robert J. Cooper ◽  
Laura Dempsey ◽  
Samuel Powell ◽  
Simone Quaggia ◽  
...  

NeuroImage ◽  
2021 ◽  
Vol 225 ◽  
pp. 117490
Author(s):  
Elisabetta Maria Frijia ◽  
Addison Billing ◽  
Sarah Lloyd-Fox ◽  
Ernesto Vidal Rosas ◽  
Liam Collins-Jones ◽  
...  

2006 ◽  
Vol 11 (1) ◽  
pp. 014020 ◽  
Author(s):  
Gultekin Gulsen ◽  
Bin Xiong ◽  
Ozlem Birgul ◽  
Orhan Nalcioglu

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2815
Author(s):  
David Orive-Miguel ◽  
Laura Di Sieno ◽  
Anurag Behera ◽  
Edoardo Ferocino ◽  
Davide Contini ◽  
...  

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.


2013 ◽  
Author(s):  
Tao Zhang ◽  
Jianjun Yang ◽  
Junli Zhou ◽  
Hao Yang ◽  
Paul R. Carney ◽  
...  

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