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      Depth-sensitive diffuse speckle contrast topography for high-density mapping of cerebral blood flow in rodents

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          Abstract.

          Significance

          Frequent assessment of cerebral blood flow (CBF) is crucial for the diagnosis and management of cerebral vascular diseases. In contrast to large and expensive imaging modalities, such as nuclear medicine and magnetic resonance imaging, optical imaging techniques are portable and inexpensive tools for continuous measurements of cerebral hemodynamics. The recent development of an innovative noncontact speckle contrast diffuse correlation tomography (scDCT) enables three-dimensional (3D) imaging of CBF distributions. However, scDCT requires complex and time-consuming 3D reconstruction, which limits its ability to achieve high spatial resolution without sacrificing temporal resolution and computational efficiency.

          Aim

          We investigate a new diffuse speckle contrast topography (DSCT) method with parallel computation for analyzing scDCT data to achieve fast and high-density two-dimensional (2D) mapping of CBF distributions at different depths without the need for 3D reconstruction.

          Approach

          A new moving window method was adapted to improve the sampling rate of DSCT. A fast computation method utilizing MATLAB functions in the Image Processing Toolbox™ and Parallel Computing Toolbox™ was developed to rapidly generate high-density CBF maps. The new DSCT method was tested for spatial resolution and depth sensitivity in head-simulating layered phantoms and in-vivo rodent models.

          Results

          DSCT enables 2D mapping of the particle flow in the phantom at different depths through the top layer with varied thicknesses. Both DSCT and scDCT enable the detection of global and regional CBF changes in deep brains of adult rats. However, DSCT achieves fast and high-density 2D mapping of CBF distributions at different depths without the need for complex and time-consuming 3D reconstruction.

          Conclusions

          The depth-sensitive DSCT method has the potential to be used as a noninvasive, noncontact, fast, high resolution, portable, and inexpensive brain imager for basic neuroscience research in small animal models and for translational studies in human neonates.

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          Most cited references41

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          A Threshold Selection Method from Gray-Level Histograms

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            Glial and neuronal control of brain blood flow.

            Blood flow in the brain is regulated by neurons and astrocytes. Knowledge of how these cells control blood flow is crucial for understanding how neural computation is powered, for interpreting functional imaging scans of brains, and for developing treatments for neurological disorders. It is now recognized that neurotransmitter-mediated signalling has a key role in regulating cerebral blood flow, that much of this control is mediated by astrocytes, that oxygen modulates blood flow regulation, and that blood flow may be controlled by capillaries as well as by arterioles. These conceptual shifts in our understanding of cerebral blood flow control have important implications for the development of new therapeutic approaches.
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              Laser speckle contrast imaging in biomedical optics.

              First introduced in the 1980s, laser speckle contrast imaging is a powerful tool for full-field imaging of blood flow. Recently laser speckle contrast imaging has gained increased attention, in part due to its rapid adoption for blood flow studies in the brain. We review the underlying physics of speckle contrast imaging and discuss recent developments to improve the quantitative accuracy of blood flow measures. We also review applications of laser speckle contrast imaging in neuroscience, dermatology and ophthalmology.
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                Author and article information

                Contributors
                Journal
                Neurophotonics
                Neurophotonics
                NEUROW
                NPh
                Neurophotonics
                Society of Photo-Optical Instrumentation Engineers
                2329-423X
                2329-4248
                14 November 2023
                October 2023
                14 November 2023
                : 10
                : 4
                : 045007
                Affiliations
                [a ]University of Kentucky , Department of Biomedical Engineering, Lexington, Kentucky, United States
                [b ]University of Kentucky , Spinal Cord and Brain Injury Research Center, Department of Physiology, Lexington, Kentucky, United States
                Author notes
                [* ]Address all correspondence to Guoqiang Yu, guoqiang.yu@ 123456uky.edu
                Author information
                https://orcid.org/0000-0002-4689-990X
                https://orcid.org/0000-0001-8061-6304
                https://orcid.org/0009-0005-3051-2888
                Article
                NPh-23034GRR 23034GRR
                10.1117/1.NPh.10.4.045007
                10704187
                38076725
                aaf9ed9a-666c-48cb-82cb-187e82d71580
                © 2023 The Authors

                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.

                History
                : 4 May 2023
                : 26 October 2023
                : 27 October 2023
                Page count
                Figures: 9, Tables: 3, References: 43, Pages: 17
                Funding
                Funded by: American Heart Association (AHA) Predoctoral Fellowship
                Award ID: #835726
                Funded by: National Institutes of Health
                Award ID: #R01 EB028792
                Award ID: #R01 HD101508
                Award ID: #R21 HD091118
                Award ID: #R21 NS114771
                Award ID: #R41 NS122722
                Award ID: #R42 MH135825
                Award ID: #R56 NS117587
                Funded by: Neuroscience Research Priority Area (NRPA) Pilot Grant from the University of Kentucky
                Categories
                Research Papers
                Paper
                Custom metadata
                Mohtasebi et al.: Depth-sensitive diffuse speckle contrast topography for high-density…

                neuroimaging,cerebral blood flow,speckle contrast diffuse correlation topography,diffuse speckle contrast topography,parallel computation

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