Clinical applications of high-speed blood flow measurements with diffuse correlation spectroscopy

2017 ◽  
Author(s):  
Ashwin B. Parthasarathy ◽  
Wesley B. Baker ◽  
Kimberly Gannon ◽  
Michael T. Mullen ◽  
John A. Detre ◽  
...  
Keyword(s):  
Blood Flow ◽  
High Speed ◽  
Clinical Applications ◽  
Correlation Spectroscopy ◽  
Flow Measurements ◽  
Diffuse Correlation Spectroscopy ◽  
Blood Flow Measurements

scholarly journals Influences of tissue absorption and scattering on diffuse correlation spectroscopy blood flow measurements

2011 ◽  
Vol 2 (7) ◽  
pp. 1969 ◽  
Author(s):  
Daniel Irwin ◽  
Lixin Dong ◽  
Yu Shang ◽  
Ran Cheng ◽  
Mahesh Kudrimoti ◽  
...  
Keyword(s):  
Blood Flow ◽  
Correlation Spectroscopy ◽  
Flow Measurements ◽  
Diffuse Correlation Spectroscopy ◽  
Blood Flow Measurements

Relative Carotid Blood Flow Measurements in Dogs by High-speed CT

1987 ◽  
Vol 22 (12) ◽  
pp. 960-964 ◽  
Author(s):  
HANS G. RINGERTZ ◽  
WERNER JASCHKE ◽  
RICHARD SIEVERS ◽  
MARTIN J. LIPTON
Keyword(s):  
Blood Flow ◽  
High Speed ◽  
Flow Measurements ◽  
Carotid Blood Flow ◽  
Blood Flow Measurements

scholarly journals Dynamic autoregulation of cerebral blood flow measured non-invasively with fast diffuse correlation spectroscopy

2017 ◽  
Vol 38 (2) ◽  
pp. 230-240 ◽  
Author(s):  
Ashwin B Parthasarathy ◽  
Kimberly P Gannon ◽  
Wesley B Baker ◽  
Christopher G Favilla ◽  
Ramani Balu ◽  
...  
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Brain Injury ◽  
Cerebral Autoregulation ◽  
High Speed ◽  
Transcranial Doppler Ultrasound ◽  
Correlation Spectroscopy ◽  
Diffuse Correlation Spectroscopy ◽  
Inter Quartile Range ◽  
Quartile Range

Cerebral autoregulation (CA) maintains cerebral blood flow (CBF) in the presence of systemic blood pressure changes. Brain injury can cause loss of CA and resulting dysregulation of CBF, and the degree of CA impairment is a functional indicator of cerebral tissue health. Here, we demonstrate a new approach to noninvasively estimate cerebral autoregulation in healthy adult volunteers. The approach employs pulsatile CBF measurements obtained using high-speed diffuse correlation spectroscopy (DCS). Rapid thigh-cuff deflation initiates a chain of responses that permits estimation of rates of dynamic autoregulation in the cerebral microvasculature. The regulation rate estimated with DCS in the microvasculature (median: 0.26 s−1, inter quartile range: 0.19 s−1) agrees well (R = 0.81, slope = 0.9) with regulation rates measured by transcranial Doppler ultrasound (TCD) in the proximal vasculature (median: 0.28 s−1, inter quartile range: 0.10 s−1). We also obtained an index of systemic autoregulation in concurrently measured scalp microvasculature. Systemic autoregulation begins later than cerebral autoregulation and exhibited a different rate (0.55 s−1, inter quartile range: 0.72 s−1). Our work demonstrates the potential of diffuse correlation spectroscopy for bedside monitoring of cerebral autoregulation in the microvasculature of patients with brain injury.

scholarly journals Time-domain diffuse correlation spectroscopy (TD-DCS) for noninvasive, depth-dependent blood flow quantification in human tissue in vivo

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Saeed Samaei ◽  
Piotr Sawosz ◽  
Michał Kacprzak ◽  
Żanna Pastuszak ◽  
Dawid Borycki ◽  
...  
Keyword(s):  
Blood Flow ◽  
Time Domain ◽  
Human Tissue ◽  
Correlation Spectroscopy ◽  
Flow Quantification ◽  
Flow Index ◽  
Flow Measurements ◽  
Diffuse Correlation Spectroscopy ◽  
Sensing Applications

AbstractMonitoring of human tissue hemodynamics is invaluable in clinics as the proper blood flow regulates cellular-level metabolism. Time-domain diffuse correlation spectroscopy (TD-DCS) enables noninvasive blood flow measurements by analyzing temporal intensity fluctuations of the scattered light. With time-of-flight (TOF) resolution, TD-DCS should decompose the blood flow at different sample depths. For example, in the human head, it allows us to distinguish blood flows in the scalp, skull, or cortex. However, the tissues are typically polydisperse. So photons with a similar TOF can be scattered from structures that move at different speeds. Here, we introduce a novel approach that takes this problem into account and allows us to quantify the TOF-resolved blood flow of human tissue accurately. We apply this approach to monitor the blood flow index in the human forearm in vivo during the cuff occlusion challenge. We detect depth-dependent reactive hyperemia. Finally, we applied a controllable pressure to the human forehead in vivo to demonstrate that our approach can separate superficial from the deep blood flow. Our results can be beneficial for neuroimaging sensing applications that require short interoptode separation.

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