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  4. Time-resolved Laser Speckle Contrast Imaging (TR-LSCI) of Cerebral Blood Flow
 
research article

Time-resolved Laser Speckle Contrast Imaging (TR-LSCI) of Cerebral Blood Flow

Fathi, Faraneh
•
Mazdeyasna, Siavash
•
Singh, Dara
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2024
IEEE Transactions on Medical Imaging (T-MI)

To address many of the deficiencies in optical neuroimaging technologies, such as poor tempo-spatial resolution, low penetration depth, contact-based measurement, and time-consuming image reconstruction, a novel, noncontact, portable, time-resolved laser speckle contrast imaging (TR-LSCI) technique has been developed for continuous, fast, and high-resolution 2D mapping of cerebral blood flow (CBF) at different depths of the head. TR-LSCI illuminates the head with picosecond-pulsed, coherent, widefield near-infrared light and synchronizes a fast, high-resolution, gated single-photon avalanche diode camera to selectively collect diffuse photons with longer pathlengths through the head, thus improving the accuracy of CBF measurement in the deep brain. The reconstruction of a CBF map was dramatically expedited by incorporating convolution functions with parallel computations. The performance of TR-LSCI was evaluated using head-simulating phantoms with known properties and in-vivo rodents with varied hemodynamic challenges to the brain. TR-LSCI enabled mapping CBF variations at different depths with a sampling rate of up to 1 Hz and spatial resolutions ranging from tens/hundreds of micrometers on rodent head surfaces to 1-2 millimeters in deep brains. With additional improvements and validation in larger populations against established methods, we anticipate offering a noncontact, fast, high-resolution, portable, and affordable brain imager for fundamental neuroscience research in animals and for translational studies in humans.

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Type
research article
DOI
10.1109/TMI.2024.3486084
Scopus ID

2-s2.0-85207890823

PubMed ID

39446549

Author(s)
Fathi, Faraneh

Stanley and Karen Pigman College of Engineering

Mazdeyasna, Siavash

Stanley and Karen Pigman College of Engineering

Singh, Dara

Stanley and Karen Pigman College of Engineering

Huang, Chong

Stanley and Karen Pigman College of Engineering

Mohtasebi, Mehrana

Stanley and Karen Pigman College of Engineering

Liu, Xuhui

Stanley and Karen Pigman College of Engineering

Haratbar, Samaneh Rabienia

Stanley and Karen Pigman College of Engineering

Zhao, Mingjun

Stanley and Karen Pigman College of Engineering

Chen, Li

University of Kentucky

Ulku, Arin Can  

École Polytechnique Fédérale de Lausanne

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Date Issued

2024

Publisher

Institute of Electrical and Electronics Engineers

Published in
IEEE Transactions on Medical Imaging (T-MI)
Volume

PP

Subjects

cerebral blood flow

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depth-sensitive

•

gated single-photon-avalanche-diode camera

•

laser speckle contrast imaging

•

parallel computation

•

time-resolved

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
AQUA  
FunderFunding(s)Grant NumberGrant URL

University of Kentucky

Swiss National Science Foundation

200021_166289,20QT21_187716

National Institutes of Health

EB028792,HD091118,HD101508,MH135825,NS114771,NS117587,NS122722

Available on Infoscience
January 25, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/244126
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