Double layer estimation of flow changes using diffuse correlation spectroscopy

2009 ◽  
Author(s):  
Louis Gagnon ◽  
Michèle Desjardins ◽  
Louis Bherer ◽  
Frédéric Lesage
Keyword(s):  
Double Layer ◽  
Correlation Spectroscopy ◽  
Diffuse Correlation Spectroscopy ◽  
Flow Changes

Monitoring blood flow changes induced by nicotinamide injection in mouse leg using diffuse correlation spectroscopy

2014 ◽  
Author(s):  
Songfeng Han ◽  
Hyun Jin Kim ◽  
Ki Won Jung ◽  
Halley F. Tsai ◽  
Ashley R. Proctor ◽  
...  
Keyword(s):  
Blood Flow ◽  
Correlation Spectroscopy ◽  
Diffuse Correlation Spectroscopy ◽  
Flow Changes

Diffuse correlation spectroscopy and tomography for longitudinal monitoring of blood flow changes induced by chemotherapy in breast cancer xenografts

2016 ◽  
Author(s):  
Regine Choe ◽  
Gabriel Ramirez ◽  
Ashley R. Proctor ◽  
Songfeng Han ◽  
Turgut Durduran ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Blood Flow ◽  
Correlation Spectroscopy ◽  
Diffuse Correlation Spectroscopy ◽  
Flow Changes ◽  
Breast Cancer Xenografts

scholarly journals Deep learning model for ultrafast quantification of blood flow in diffuse correlation spectroscopy

2020 ◽  
Author(s):  
Chien-Sing Poon ◽  
Feixiao Long ◽  
Ulas Sunar
Keyword(s):  
Blood Flow ◽  
Deep Learning ◽  
Real Time ◽  
Learning Model ◽  
Correlation Spectroscopy ◽  
Flow Quantification ◽  
Tissue Blood Flow ◽  
Diffuse Correlation Spectroscopy ◽  
Flow Changes ◽  
Deep Learning Model

ABSTRACTDiffuse correlation spectroscopy (DCS) is increasingly used in the optical imaging field to assess blood flow in humans due to its non-invasive, real-time characteristics and its ability to provide label-free, bedside monitoring of blood flow changes. Previous DCS studies have utilized a traditional curve fitting of the analytical or Monte Carlo models to extract the blood flow changes, which are computationally demanding and less accurate when the signal to noise ratio decreases. Here, we present a deep learning model that eliminates this bottleneck by solving the inverse problem more than 2300% faster, with equivalent or improved accuracy compared to the nonlinear fitting with an analytical method. The proposed deep learning inverse model will enable real-time and accurate tissue blood flow quantification with the DCS technique.

scholarly journals Effects of muscle fiber motion on diffuse correlation spectroscopy blood flow measurements during exercise

2010 ◽  
Vol 1 (2) ◽  
pp. 500 ◽  
Author(s):  
Yu Shang ◽  
T. B. Symons ◽  
Turgut Durduran ◽  
A. G. Yodh ◽  
Guoqiang Yu
Keyword(s):  
Blood Flow ◽  
Muscle Fiber ◽  
Correlation Spectroscopy ◽  
Flow Measurements ◽  
Diffuse Correlation Spectroscopy ◽  
Fiber Motion ◽  
Blood Flow Measurements

scholarly journals Non-invasive optical neuromonitoring of the temperature-dependence of cerebral oxygen metabolism during deep hypothermic cardiopulmonary bypass in neonatal swine

2018 ◽  
Vol 40 (1) ◽  
pp. 187-203 ◽  
Author(s):  
Tiffany S Ko ◽  
Constantine D Mavroudis ◽  
Wesley B Baker ◽  
Vincent C Morano ◽  
Kobina Mensah-Brown ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Cardiopulmonary Bypass ◽  
Temperature Response ◽  
Oxygen Metabolism ◽  
Correlation Spectroscopy ◽  
Neurological Injury ◽  
Diffuse Correlation Spectroscopy ◽  
Non Invasive ◽  
Neuroprotective Strategy ◽  
Subject Variability

Management of deep hypothermic (DH) cardiopulmonary bypass (CPB), a critical neuroprotective strategy, currently relies on non-invasive temperature to guide cerebral metabolic suppression during complex cardiac surgery in neonates. Considerable inter-subject variability in temperature response and residual metabolism may contribute to the persisting risk for postoperative neurological injury. To characterize and mitigate this variability, we assess the sufficiency of conventional nasopharyngeal temperature (NPT) guidance, and in the process, validate combined non-invasive frequency-domain diffuse optical spectroscopy (FD-DOS) and diffuse correlation spectroscopy (DCS) for direct measurement of cerebral metabolic rate of oxygen ( CMRO2). During CPB, n = 8 neonatal swine underwent cooling from normothermia to 18℃, sustained DH perfusion for 40 min, and then rewarming to simulate cardiac surgery. Continuous non-invasive and invasive measurements of intracranial temperature (ICT) and CMRO2 were acquired. Significant hysteresis ( p < 0.001) between cooling and rewarming periods in the NPT versus ICT and NPT versus CMRO2 relationships were found. Resolution of this hysteresis in the ICT versus CMRO2 relationship identified a crucial insufficiency of conventional NPT guidance. Non-invasive CMRO2 temperature coefficients with respect to NPT ( Q10 = 2.0) and ICT ( Q10 = 2.5) are consistent with previous reports and provide further validation of FD-DOS/DCS CMRO2 monitoring during DH CPB to optimize management.

scholarly journals Investigation of diffuse correlation spectroscopy in multi-layered media including the human head

2008 ◽  
Vol 16 (20) ◽  
pp. 15514 ◽  
Author(s):  
Louis Gagnon ◽  
Michèle Desjardins ◽  
Julien Jehanne-Lacasse ◽  
Louis Bherer ◽  
Frédéric Lesage
Keyword(s):  
Layered Media ◽  
Human Head ◽  
Correlation Spectroscopy ◽  
Diffuse Correlation Spectroscopy

scholarly journals Evaluation of Local Skeletal Muscle Blood Flow in Manipulative Therapy by Diffuse Correlation Spectroscopy

2022 ◽  
Vol 9 ◽  
Author(s):  
Yasuhiro Matsuda ◽  
Mikie Nakabayashi ◽  
Tatsuya Suzuki ◽  
Sinan Zhang ◽  
Masashi Ichinose ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Skeletal Muscle ◽  
Blood Flow ◽  
Muscle Blood Flow ◽  
Nervous Activity ◽  
Correlation Spectroscopy ◽  
Autonomic Nervous Activity ◽  
Local Blood Flow ◽  
Diffuse Correlation Spectroscopy ◽  
Manipulative Therapy

Manipulative therapy (MT) is applied to motor organs through a therapist’s hands. Although MT has been utilized in various medical treatments based on its potential role for increasing the blood flow to the local muscle, a quantitative validation of local muscle blood flow in MT remains challenging due to the lack of appropriate bedside evaluation techniques. Therefore, we investigated changes in the local blood flow to the muscle undergoing MT by employing diffuse correlation spectroscopy, a portable and emerging optical measurement technology that non-invasively measures blood flow in deep tissues. This study investigated the changes in blood flow, heart rate, blood pressure, and autonomic nervous activity in the trapezius muscle through MT application in 30 volunteers without neck and shoulder injury. Five minutes of MT significantly increased the median local blood flow relative to that of the pre-MT period (p &lt; 0.05). The post-MT local blood flow increase was significantly higher in the MT condition than in the control condition, where participants remained still without receiving MT for the same time (p &lt; 0.05). However, MT did not affect the heart rate, blood pressure, or cardiac autonomic nervous activity. The post-MT increase in muscle blood flow was significantly higher in the participants with muscle stiffness in the neck and shoulder regions than in those without (p &lt; 0.05). These results suggest that MT could increase the local blood flow to the target skeletal muscle, with minimal effects on systemic circulatory function.

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