Evidence map›Paper›PMID 27231588›Full record

ArticleBiomedical optics express2016

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

Detian Wang, Ashwin B Parthasarathy, Wesley B Baker, Kimberly Gannon, Venki Kavuri, Tiffany Ko, Steven Schenkel, Zhe Li, Zeren Li, Michael T Mullen and 2 more

Abstract read
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed.

  1. Cerebral Blood Flow Response During Bolus Normal Saline Infusion After Ischemic Stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2019
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16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Detian WangDept. of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA; Interdisciplinary Laboratory of Physics and Biomedicine, Institute of Fluid Physics, China Academy of Engineering Physics, Mianyang 621900, China.
Ashwin B ParthasarathyDept. of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA.
Wesley B BakerDept. of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA.
Kimberly GannonDiv. of Stroke and Neurocritical Care, Hospital of the University of Pennsylvania, Philadelphia, PA 19104 USA.
Venki KavuriDept. of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA.
Tiffany KoDept. of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA.
Steven SchenkelDept. of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA.
Zhe LiDept. of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA; State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China.
Zeren LiInterdisciplinary Laboratory of Physics and Biomedicine, Institute of Fluid Physics, China Academy of Engineering Physics, Mianyang 621900, China.
Michael T MullenDiv. of Stroke and Neurocritical Care, Hospital of the University of Pennsylvania, Philadelphia, PA 19104 USA.
John A DetreDiv. of Stroke and Neurocritical Care, Hospital of the University of Pennsylvania, Philadelphia, PA 19104 USA.
Arjun G YodhDept. of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA.

Funding

Training and DisseminationP41EB015893 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI REDDY, RAVINDER · 2012 to 2019
$11.3M
Diffuse Optics for Acute Stroke ManagementR01NS060653 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI YODH, ARJUN G. · 2008 to 2018
$5.5M
NIBIB NIH HHS P41 EB015893NINDS NIH HHS R01 NS060653
6 · The paper itself

Abstract

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.

Indexed as

(030.0030) Coherence and statistical optics(030.5260) Photon counting(030.5290) Photon statistics(110.4153) Motion estimation and optical flow(170.1470) Blood or tissue constituent monitoring(170.1610) Clinical applications(170.2655) Functional monitoring and imaging(170.3880) Medical and biological imaging(170.5270) Photon density waves(170.6480) Spectroscopy, speckle(170.6510) Spectroscopy, tissue diagnostics(290.4210) Multiple scattering

Identifiers

PMID27231588
PMCPMC4866455

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.