Cortical microvascular blood flow velocity mapping by combining dynamic light scattering optical coherence tomography and two-photon microscopy
Significance: The 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. Aim: We 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). Approach: We used DLS-OCT to first rapidly acquire a large set of microvascular velocities through a sealed cranial window in mice and then to acquire highresolution 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. Results: We 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.
National Institutes of Health["R01NS115401","U24EB028941","U01HL133362","R01NS091230"]
|WOS Research Area|
Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
Biochemical Research Methods ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
|WOS Accession No|
|ESI Research Field|
Cited Times [WOS]:0
|Document Type||Journal Article|
|Department||Department of Biomedical Engineering|
1.Massachusetts General Hospital Harvard Medical School,Athinoula A. Martinos Center for Biomedical Imaging,Department of Radiology,Charlestown,United States
2.Northeastern University,Department of Bioengineering,Boston,United States
3.Southern University of Science and Technology,Department of Biomedical Engineering,Shenzhen,China
4.University of Arizona,Program in Applied Mathematics,Tucson,United States
5.Chinese Academy of Sciences Shenzhen Institute of Advanced Technology,Brain Cognition and Brain Disease Institute,Shenzhen Fundamental Research Institutions Shenzhen-Hong Kong Institute of Brain Science,Guangdong,Shenzhen,China
6.Boston University,Department of Biomedical Engineering,Boston,United States
7.University of Arizona,Department of Mathematics,Tucson,United States
8.University of Arizona,Department of Physiology,Tucson,United States
Pian，Qi,Alfadhel，Mohammed,Tang，Jianbo,et al. Cortical microvascular blood flow velocity mapping by combining dynamic light scattering optical coherence tomography and two-photon microscopy[J]. Journal of Biomedical Optics,2023,28(7).
Pian，Qi.,Alfadhel，Mohammed.,Tang，Jianbo.,Lee，Grace V..,Li，Baoqiang.,...&Sakadzic，Sava.(2023).Cortical microvascular blood flow velocity mapping by combining dynamic light scattering optical coherence tomography and two-photon microscopy.Journal of Biomedical Optics,28(7).
Pian，Qi,et al."Cortical microvascular blood flow velocity mapping by combining dynamic light scattering optical coherence tomography and two-photon microscopy".Journal of Biomedical Optics 28.7(2023).
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