Fast blood flow monitoring in deep tissues with real-time software correlators

被引：89

作者：

Wang, Detian ^{[1
,2
]}

Parthasarathy, Ashwin B. ^{[1
]}

Baker, Wesley B. ^{[1
]}

Gannon, Kimberly ^{[3
]}

Kavuri, Venki ^{[1
]}

Ko, Tiffany ^{[1
]}

Schenkel, Steven ^{[1
]}

Li, Zhe ^{[1
,4
]}

Li, Zeren ^{[2
]}

Mullen, Michael T. ^{[3
]}

Detre, John A. ^{[3
]}

Yodh, Arjun G. ^{[1
]}

机构：

[1] Univ Penn, Dept Phys & Astron, Philadelphia, PA 19104 USA

[2] China Acad Engn Phys, Inst Fluid Phys, Interdisciplinary Lab Phys & Biomed, Mianyang 621900, Peoples R China

[3] Hosp Univ Penn, Div Stroke & Neurocrit Care, 3400 Spruce St, Philadelphia, PA 19104 USA

[4] Tianjin Univ, State Key Lab Precis Measurement Technol & Instru, Tianjin 300072, Peoples R China

来源：

BIOMEDICAL OPTICS EXPRESS | 2016年 / 7卷 / 03期

基金：

美国国家卫生研究院;

关键词：

DIFFUSE CORRELATION SPECTROSCOPY; COHERENT HEMODYNAMICS SPECTROSCOPY; DYNAMIC CEREBRAL AUTOREGULATION; CEREBROVASCULAR AUTOREGULATION; OPTICAL MEASUREMENT; HUMAN BRAIN; METABOLISM; OXYGENATION; SCATTERING; SURGERY;

D O I：

10.1364/BOE.7.000776

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We introduce, validate and demonstrate a new software correlator for high-speed measurement of blood flow in deep tissues based on diffuse correlation spectroscopy (DCS). The software correlator scheme employs standard PC-based data acquisition boards to measure temporal intensity autocorrelation functions continuously at 50 - 100 Hz, the fastest blood flow measurements reported with DCS to date. The data streams, obtained in vivo for typical source-detector separations of 2.5 cm, easily resolve pulsatile heart-beat fluctuations in blood flow which were previously considered to be noise. We employ the device to separate tissue blood flow from tissue absorption/scattering dynamics and thereby show that the origin of the pulsatile DCS signal is primarily flow, and we monitor cerebral autoregulation dynamics in healthy volunteers more accurately than with traditional instrumentation as a result of increased data acquisition rates. Finally, we characterize measurement signal-to-noise ratio and identify count rate and averaging parameters needed for optimal performance. (C) 2016 Optical Society of America

引用

页码：776 / 797

页数：22

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