Prof. Kathryn E. Saatman Profile

Prof. Kathryn E. Saatman

at Univ of Kentucky

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Publications (4)

SPIE Journal Paper | 14 November 2023 Open Access

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

Mehrana Mohtasebi, Dara Singh, Xuhui Liu, Faraneh Fathi, Samaneh Rabienia Haratbar, Kathryn E. Saatman, Lei Chen, Guoqiang Yu

NPh, Vol. 10, Issue 04, 045007, (November 2023) https://doi.org/10.1117/12.10.1117/1.NPh.10.4.045007

KEYWORDS: Speckle, Laser speckle contrast imaging, Windows, Brain mapping, Simulation of CCA and DLA aggregates, Brain, 3D modeling, Spatial resolution, Tissues, Neurophotonics

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SignificanceFrequent 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.AimWe 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.ApproachA 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.ResultsDSCT 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.ConclusionsThe 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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SPIE Journal Paper | 4 May 2023 Open Access

Detection of low-frequency oscillations in neonatal piglets with speckle contrast diffuse correlation tomography

Mehrana Mohtasebi, Daniel Irwin, Dara Singh, Siavash Mazdeyasna, Xuhui Liu, Samaneh Rabienia Haratbar, Faraneh Fathi, Chong Huang, Kathryn Saatman, Lei Chen, Guoqiang Yu

JBO, Vol. 28, Issue 12, 121204, (May 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.12.121204

KEYWORDS: Brain, Ischemia, Simulation of CCA and DLA aggregates, Windows, Speckle, 3D image reconstruction, Sampling rates, Tissues, Reconstruction algorithms, Neuroimaging

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Proceedings Article | 7 March 2022 Presentation

Noncontact optical assessment of disrupted cerebral functional connectivity in a piglet model of transient ischemic stroke

Mehrana Mohtasebi, Lei Chen, Siavash Mazdeyasna, Dara Singh, Xuhui Liu, Chong Huang, Samaneh Rabienia Haratbar, Faraneh Fathi, David Powell, Kathryn Saatman, Qiang Cheng, Guoqiang Yu

Proceedings Volume PC11945, PC1194505 (2022) https://doi.org/10.1117/12.2609144

KEYWORDS: Ischemic stroke, Brain, Tissue optics, Stereoscopy, Traumatic brain injury, Tomography, Tissues, Speckle, Signal attenuation, Safety

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Proceedings Article | 5 March 2021 Presentation + Paper

Noncontact optical assessment of spontaneous low-frequency fluctuations of cerebral blood flow in neonatal intraventricular hemorrhage

Mehrana Mohtasebi, Chong Huang, Siavash Mazdeyasna, Brennen Green, Kathryn Saatman, Qiang Cheng, Lei Chen, Guoqiang Yu

Proceedings Volume 11629, 116290U (2021) https://doi.org/10.1117/12.2578019

KEYWORDS: Brain, Cerebral blood flow, Signal attenuation, Tomography, Stereoscopy, Speckle, Neuroimaging, Hemodynamics, Blood vessels, 3D modeling

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