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Monitoring Blood Flow in Animal Models Using a Camera-Based Technique

Langri, Dharminder Singh
http://rave.ohiolink.edu/etdc/view?acc_num=wright1683207980122164

Abstract Details

2023, Doctor of Philosophy (PhD), Wright State University, Engineering PhD.
Blood flow dynamics plays a critical role in maintaining tissue health, as it delivers nutrients and oxygen while removing waste products. It is especially important when there is a disruption in cerebral autoregulation due to trauma, which can induce ischemia or hyperemia and can lead to secondary brain injury. Thus, there is a need for noninvasive techniques that can allow continuous monitoring of blood flow during intervention. Optical techniques have become increasingly practical for measuring blood flow due to their non-invasive, continuous, and relatively lower-cost nature. This research focused on developing a low-cost, scalable optical technique for measuring blood flow by implementing speckle contrast optical spectroscopy using a fiber-camera-based approach. This technique is particularly well-suited for measuring blood flow in deep tissues, such as the brain, which is challenging to access using traditional optical methods. A two-channel continuous wave speckle contrast optical spectroscopy device was developed, and the device was rigorously tested using phantoms. Then, it is applied to monitor blood flow changes in the brain following traumatic brain injury (TBI) in mice. The results indicate that trauma-induced significant blood flow decreases consistent with the recent literature. Overall, this approach provides noninvasive continuous measurements of blood flow in preclinical models such as traumatic brain injury.
Ulas Sunar, Ph.D. (Advisor)
Tarun Goswami, Ph.D. (Committee Member)
Keiichiro Susuki, Ph.D. (Committee Member)
Robert Lober, M.D., Ph.D. (Committee Member)
79 p.
Biomedical Engineering; Biomedical Research; Biophysics; Engineering; Optics
Camera; Fiber; DCS; Diffuse correlation spectroscopy; sCMOS; High Density; Laser Speckle Contrast Imaging; Cerebral Blood Flow; Blood Flow; Continuous Wave; In-Vivo; Dynamic Flow Phantom; Traumatic Brain Injury; Muscular Dystrophy; Non-invasive; Long term monitoring; Intra-operative; Portable; Cheap; Imaging Fiber; bedside monitoring

Recommended Citations

Citations

  • Langri, D. S. (2023). Monitoring Blood Flow in Animal Models Using a Camera-Based Technique [Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1683207980122164

    APA Style (7th edition)

  • Langri, Dharminder Singh. Monitoring Blood Flow in Animal Models Using a Camera-Based Technique. 2023. Wright State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1683207980122164.

    MLA Style (8th edition)

  • Langri, Dharminder Singh. "Monitoring Blood Flow in Animal Models Using a Camera-Based Technique." Doctoral dissertation, Wright State University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=wright1683207980122164

    Chicago Manual of Style (17th edition)

wright1683207980122164
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© 2023, some rights reserved.Creative Commons License Monitoring Blood Flow in Animal Models Using a Camera-Based Technique by Dharminder Singh Langri is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Wright State University and OhioLINK.