Unspecified Grace V. Lee Profile

Grace V. Lee

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Publications (2)

SPIE Journal Paper | 21 July 2023 Open Access

Cortical microvascular blood flow velocity mapping by combining dynamic light scattering optical coherence tomography and two-photon microscopy

Qi Pian, Mohammed Alfadhel, Jianbo Tang, Grace V. Lee, Baoqiang Li, Buyin Fu, Yagmur Ayata, Mohammad Abbas Yaseen, David A. Boas, Timothy W. Secomb, Sava Sakadzic

JBO, Vol. 28, Issue 07, 076003, (July 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.7.076003

KEYWORDS: Angiography, Optical coherence tomography, Capillaries, Blood circulation, Image segmentation, Brain, Biological imaging, Data acquisition, Voxels, Velocity measurements

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SignificanceThe accurate large-scale mapping of cerebral microvascular blood flow velocity is crucial for a better understanding of cerebral blood flow (CBF) regulation. Although optical imaging techniques enable both high-resolution microvascular angiography and fast absolute CBF velocity measurements in the mouse cortex, they usually require different imaging techniques with independent system configurations to maximize their performances. Consequently, it is still a challenge to accurately combine functional and morphological measurements to co-register CBF speed distribution from hundreds of microvessels with high-resolution microvascular angiograms.AimWe propose a data acquisition and processing framework to co-register a large set of microvascular blood flow velocity measurements from dynamic light scattering optical coherence tomography (DLS-OCT) with the corresponding microvascular angiogram obtained using two-photon microscopy (2PM).ApproachWe used DLS-OCT to first rapidly acquire a large set of microvascular velocities through a sealed cranial window in mice and then to acquire high-resolution microvascular angiograms using 2PM. The acquired data were processed in three steps: (i) 2PM angiogram coregistration with the DLS-OCT angiogram, (ii) 2PM angiogram segmentation and graphing, and (iii) mapping of the CBF velocities to the graph representation of the 2PM angiogram.ResultsWe implemented the developed framework on the three datasets acquired from the mice cortices to facilitate the coregistration of the large sets of DLS-OCT flow velocity measurements with 2PM angiograms. We retrieved the distributions of red blood cell velocities in arterioles, venules, and capillaries as a function of the branching order from precapillary arterioles and postcapillary venules from more than 1000 microvascular segments.ConclusionsThe proposed framework may serve as a useful tool for quantitative analysis of large microvascular datasets obtained by OCT and 2PM in studies involving normal brain functioning, progression of various diseases, and numerical modeling of the oxygen advection and diffusion in the realistic microvascular networks.

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Proceedings Article | 5 March 2021 Presentation

Large scale mapping of the cortical microvascular velocities by the dynamic light scattering optical coherence tomography

Mohammed Alfadhel, Qi Pian, Jianbo Tang, Grace Lee, Baoqiang Li, Buyin Fu, Yagmur Ayata, David Boas, Timothy Secomb, Sava Sakadžic

Proceedings Volume 11629, 116290Z (2021) https://doi.org/10.1117/12.2583146

KEYWORDS: Optical coherence tomography, Dynamic light scattering, Blood circulation, Oxygen, Angiography, Two photon excitation microscopy, Quantitative analysis, Numerical modeling, Image segmentation, Diffusion

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