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Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system

SIGNIFICANCE: Time-domain functional near-infrared spectroscopy (TD-fNIRS) has been considered as the gold standard of noninvasive optical brain imaging devices. However, due to the high cost, complexity, and large form factor, it has not been as widely adopted as continuous wave NIRS systems. AIM:...

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Autores principales: Ban, Han Y., Barrett, Geoffrey M., Borisevich, Alex, Chaturvedi, Ashutosh, Dahle, Jacob L., Dehghani, Hamid, Dubois, Julien, Field, Ryan M., Gopalakrishnan, Viswanath, Gundran, Andrew, Henninger, Michael, Ho, Wilson C., Hughes, Howard D., Jin, Rong, Kates-Harbeck, Julian, Landy, Thanh, Leggiero, Michael, Lerner, Gabriel, Aghajan, Zahra M., Moon, Michael, Olvera, Isai, Park, Sangyong, Patel, Milin J., Perdue, Katherine L., Siepser, Benjamin, Sorgenfrei, Sebastian, Sun, Nathan, Szczepanski, Victor, Zhang, Mary, Zhu, Zhenye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765296/
https://www.ncbi.nlm.nih.gov/pubmed/35043610
http://dx.doi.org/10.1117/1.JBO.27.7.074710
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author Ban, Han Y.
Barrett, Geoffrey M.
Borisevich, Alex
Chaturvedi, Ashutosh
Dahle, Jacob L.
Dehghani, Hamid
Dubois, Julien
Field, Ryan M.
Gopalakrishnan, Viswanath
Gundran, Andrew
Henninger, Michael
Ho, Wilson C.
Hughes, Howard D.
Jin, Rong
Kates-Harbeck, Julian
Landy, Thanh
Leggiero, Michael
Lerner, Gabriel
Aghajan, Zahra M.
Moon, Michael
Olvera, Isai
Park, Sangyong
Patel, Milin J.
Perdue, Katherine L.
Siepser, Benjamin
Sorgenfrei, Sebastian
Sun, Nathan
Szczepanski, Victor
Zhang, Mary
Zhu, Zhenye
author_facet Ban, Han Y.
Barrett, Geoffrey M.
Borisevich, Alex
Chaturvedi, Ashutosh
Dahle, Jacob L.
Dehghani, Hamid
Dubois, Julien
Field, Ryan M.
Gopalakrishnan, Viswanath
Gundran, Andrew
Henninger, Michael
Ho, Wilson C.
Hughes, Howard D.
Jin, Rong
Kates-Harbeck, Julian
Landy, Thanh
Leggiero, Michael
Lerner, Gabriel
Aghajan, Zahra M.
Moon, Michael
Olvera, Isai
Park, Sangyong
Patel, Milin J.
Perdue, Katherine L.
Siepser, Benjamin
Sorgenfrei, Sebastian
Sun, Nathan
Szczepanski, Victor
Zhang, Mary
Zhu, Zhenye
author_sort Ban, Han Y.
collection PubMed
description SIGNIFICANCE: Time-domain functional near-infrared spectroscopy (TD-fNIRS) has been considered as the gold standard of noninvasive optical brain imaging devices. However, due to the high cost, complexity, and large form factor, it has not been as widely adopted as continuous wave NIRS systems. AIM: Kernel Flow is a TD-fNIRS system that has been designed to break through these limitations by maintaining the performance of a research grade TD-fNIRS system while integrating all of the components into a small modular device. APPROACH: The Kernel Flow modules are built around miniaturized laser drivers, custom integrated circuits, and specialized detectors. The modules can be assembled into a system with dense channel coverage over the entire head. RESULTS: We show performance similar to benchtop systems with our miniaturized device as characterized by standardized tissue and optical phantom protocols for TD-fNIRS and human neuroscience results. CONCLUSIONS: The miniaturized design of the Kernel Flow system allows for broader applications of TD-fNIRS.
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spelling pubmed-87652962022-01-20 Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system Ban, Han Y. Barrett, Geoffrey M. Borisevich, Alex Chaturvedi, Ashutosh Dahle, Jacob L. Dehghani, Hamid Dubois, Julien Field, Ryan M. Gopalakrishnan, Viswanath Gundran, Andrew Henninger, Michael Ho, Wilson C. Hughes, Howard D. Jin, Rong Kates-Harbeck, Julian Landy, Thanh Leggiero, Michael Lerner, Gabriel Aghajan, Zahra M. Moon, Michael Olvera, Isai Park, Sangyong Patel, Milin J. Perdue, Katherine L. Siepser, Benjamin Sorgenfrei, Sebastian Sun, Nathan Szczepanski, Victor Zhang, Mary Zhu, Zhenye J Biomed Opt Special Section on Tissue Phantoms to Advance Biomedical Optical Systems SIGNIFICANCE: Time-domain functional near-infrared spectroscopy (TD-fNIRS) has been considered as the gold standard of noninvasive optical brain imaging devices. However, due to the high cost, complexity, and large form factor, it has not been as widely adopted as continuous wave NIRS systems. AIM: Kernel Flow is a TD-fNIRS system that has been designed to break through these limitations by maintaining the performance of a research grade TD-fNIRS system while integrating all of the components into a small modular device. APPROACH: The Kernel Flow modules are built around miniaturized laser drivers, custom integrated circuits, and specialized detectors. The modules can be assembled into a system with dense channel coverage over the entire head. RESULTS: We show performance similar to benchtop systems with our miniaturized device as characterized by standardized tissue and optical phantom protocols for TD-fNIRS and human neuroscience results. CONCLUSIONS: The miniaturized design of the Kernel Flow system allows for broader applications of TD-fNIRS. Society of Photo-Optical Instrumentation Engineers 2022-01-18 2022-07 /pmc/articles/PMC8765296/ /pubmed/35043610 http://dx.doi.org/10.1117/1.JBO.27.7.074710 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle Special Section on Tissue Phantoms to Advance Biomedical Optical Systems
Ban, Han Y.
Barrett, Geoffrey M.
Borisevich, Alex
Chaturvedi, Ashutosh
Dahle, Jacob L.
Dehghani, Hamid
Dubois, Julien
Field, Ryan M.
Gopalakrishnan, Viswanath
Gundran, Andrew
Henninger, Michael
Ho, Wilson C.
Hughes, Howard D.
Jin, Rong
Kates-Harbeck, Julian
Landy, Thanh
Leggiero, Michael
Lerner, Gabriel
Aghajan, Zahra M.
Moon, Michael
Olvera, Isai
Park, Sangyong
Patel, Milin J.
Perdue, Katherine L.
Siepser, Benjamin
Sorgenfrei, Sebastian
Sun, Nathan
Szczepanski, Victor
Zhang, Mary
Zhu, Zhenye
Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system
title Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system
title_full Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system
title_fullStr Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system
title_full_unstemmed Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system
title_short Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system
title_sort kernel flow: a high channel count scalable time-domain functional near-infrared spectroscopy system
topic Special Section on Tissue Phantoms to Advance Biomedical Optical Systems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765296/
https://www.ncbi.nlm.nih.gov/pubmed/35043610
http://dx.doi.org/10.1117/1.JBO.27.7.074710
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