Time Domain Diffuse Correlation Spectroscopy for Depth-Resolved Cerebral Blood Flow

Time Domain Diffuse Correlation Spectroscopy for Depth-Resolved Cerebral Blood Flow

Bibliographic Details
Main Author: Poon, Chien Sing
Language:English
Published: Wright State University / OhioLINK 2021
Subjects:
Artificial Intelligence
Biomedical Engineering
Biomedical Research
Biophysics
Medical Imaging
Neurosciences
Optics
diffuse correlation spectroscopy
optical imaging
traumatic brain injury
cerebral blood flow
diffuse optical spectroscopy
infrared imaging
SWIR
deep learning
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=wright1637169598865539
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-wright16371695988655392021-12-18T05:25:47Z Time Domain Diffuse Correlation Spectroscopy for Depth-Resolved Cerebral Blood Flow Poon, Chien Sing Artificial Intelligence Biomedical Engineering Biomedical Research Biophysics Medical Imaging Neurosciences Optics diffuse correlation spectroscopy optical imaging traumatic brain injury cerebral blood flow diffuse optical spectroscopy infrared imaging SWIR deep learning Measuring cerebral blood flow (CBF) is a crucial element in monitoring a vast variety of human brain disorders. Current imaging modalities used for measuring CBF has various limitations that restricts its usefulness especially in the neuroscience intensive care unit (NSICU). Here, the use of Time-gated DCS (TG-DCS) which has significant advantages compared to its predecessor, CW-DCS, was proposed as the solution. However, this technology is still in its infancy and its clinical capability has yet to be established. To show the feasibility of deploying TG-DCS in NSICU settings, the time-domain analytical model for TG-DCS was expanded for multi-layered cases. Next, CW-DCS was validated in humans and in NSICU settings on patients suffering from Traumatic Brain Injury (TBI). A prototype 1064nm TG-DCS system was built and validated on several in-vivo experiments. Finally, the feasibility of the system was shown by deploying it in NSICU settings for measuring CBF in TBI patients. Lastly, deep learning was used to show the feasibility of obtaining real-time results. 2021-12-17 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1637169598865539 http://rave.ohiolink.edu/etdc/view?acc_num=wright1637169598865539 restricted--full text unavailable until 2022-12-17 This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Artificial Intelligence
Biomedical Engineering
Biomedical Research
Biophysics
Medical Imaging
Neurosciences
Optics
diffuse correlation spectroscopy
optical imaging
traumatic brain injury
cerebral blood flow
diffuse optical spectroscopy
infrared imaging
SWIR
deep learning
spellingShingle Artificial Intelligence
Biomedical Engineering
Biomedical Research
Biophysics
Medical Imaging
Neurosciences
Optics
diffuse correlation spectroscopy
optical imaging
traumatic brain injury
cerebral blood flow
diffuse optical spectroscopy
infrared imaging
SWIR
deep learning
Poon, Chien Sing
Time Domain Diffuse Correlation Spectroscopy for Depth-Resolved Cerebral Blood Flow
author Poon, Chien Sing
author_facet Poon, Chien Sing
author_sort Poon, Chien Sing
title Time Domain Diffuse Correlation Spectroscopy for Depth-Resolved Cerebral Blood Flow
title_short Time Domain Diffuse Correlation Spectroscopy for Depth-Resolved Cerebral Blood Flow
title_full Time Domain Diffuse Correlation Spectroscopy for Depth-Resolved Cerebral Blood Flow
title_fullStr Time Domain Diffuse Correlation Spectroscopy for Depth-Resolved Cerebral Blood Flow
title_full_unstemmed Time Domain Diffuse Correlation Spectroscopy for Depth-Resolved Cerebral Blood Flow
title_sort time domain diffuse correlation spectroscopy for depth-resolved cerebral blood flow
publisher Wright State University / OhioLINK
publishDate 2021
url http://rave.ohiolink.edu/etdc/view?acc_num=wright1637169598865539
work_keys_str_mv AT poonchiensing timedomaindiffusecorrelationspectroscopyfordepthresolvedcerebralbloodflow
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