Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1206-1217 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Medical Imaging |
| Volume | 44 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2025 |
Bibliographical note
Publisher Copyright:© 1982-2012 IEEE.
Funding
This work was supported in part by the Swiss National Science Foundation, Qu3D “Quantum 3D Imaging at high speed and high resolution,” under Grant 20QT21_187716 and Grant 200021_166289. The work of Faraneh Fathi was supported by the Halcomb Fellowship in Medicine and Engineering through the University of Kentucky. The work of Guoqiang Yu was supported by the National Institutes of Health (NIH) under Grant R01 EB028792, Grant R01-HD101508, Grant R21-HD091118, Grant R21-NS114771, Grant R41-NS122722, Grant R42-MH135825, and Grant R56-NS117587. We acknowledge partial financial support from the National Institutes of Health (NIH) #R01 EB028792, #R01-HD101508, #R21-HD091118, #R21-NS114771, #R41-NS122722, #R42-MH135825, #R56-NS117587 (G.Y.) and the Halcomb Fellowship in Medicine and Engineering at the University of Kentucky (F.F.). This work was also supported, in part, by the Swiss National Science Foundation (grants 20QT21_187716 Qu3D “Quantum 3D Imaging at high speed and high resolution” and 200021_166289). (Corresponding author: Guoqiang Yu) Faraneh Fathi, Siavash Mazdeyasna, Dara Singh, Chong Huang, Mehrana Mohtasebi, Xuhui Liu, Samaneh Rabienia Haratbar, Mingjun Zhao, and Guoqiang Yu are with the Department of Biomedical Engineering, University of Kentucky, Lexington, KY 40506 USA. (email: [email protected];[email protected];[email protected];[email protected];[email protected];[email protected];[email protected]
| Funders | Funder number |
|---|---|
| University of Kentucky | |
| Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung | 20QT21_187716, 200021_166289 |
| Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung | |
| National Institutes of Health (NIH) | HD101508, MH135825, HD091118, NS117587, EB028792, NS114771, NS122722 |
| National Institutes of Health (NIH) |
Keywords
- Cerebral blood flow
- depth-sensitive
- gated single-photon-avalanche-diode camera
- laser speckle contrast imaging
- parallel computation
- time-resolved
ASJC Scopus subject areas
- Software
- Radiological and Ultrasound Technology
- Computer Science Applications
- Electrical and Electronic Engineering