Evidence map›Paper›PMID 25327449›Full record

ArticlePhysics in medicine and biology2014

Simultaneous estimation of bidirectional particle flow and relative flux using MUSIC-OCT: phantom studies.

Siavash Yousefi, Ruikang K Wang

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Review
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

2 authors.

Siavash YousefiDepartment of Bioengineering, University of Washington, Seattle, WA, 98195, USA.
Ruikang K Wang

Funding

OPTICAL MICROANGIOGRAHY OF CEREBROVASCULAR PERFUSIONR01HL093140 · NHLBI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2008 to 2017
$4.2M
Label-free optical imaging of 3D structural and functional microcirculationsR01EB009682 · NIBIB · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2009 to 2012
$1.7M
NON-INVASIVE REAL-TIME LABEL-FREE 3D IMAGING OF RETINAL MICROCIRCULATIONR01EY024158 · NEI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2014 to 2017
$1.7M
NEI NIH HHS R01 EY024158NEI NIH HHS R01EY024158NHLBI NIH HHS R01 HL093140NHLBI NIH HHS R01HL093140NIBIB NIH HHS R01 EB009682NIBIB NIH HHS R01EB009682
6 · The paper itself

Abstract

In an optical coherence tomography (OCT) scan from a living tissue, red blood cells (RBCs) are the major source of backscattering signal from moving particles within microcirculatory system. Measuring the concentration and velocity of RBC particles allows assessment of RBC flux and flow, respectively, to assess tissue perfusion and oxygen/nutrition exchange rates within micro-structures. In this paper, we propose utilizing spectral estimation techniques to simultaneously quantify bi-directional particle flow and relative flux by spectral estimation of the received OCT signal from moving particles within capillary tubes embedded in tissue mimicking phantoms. The proposed method can be directly utilized for in vivo quantification of capillaries and microvessels. Compared to the existing methods in the literature that can either quantify flow direction or power, our proposed method allows simultaneous flow (velocity) direction and relative flux (power) estimation.

Indexed as

Models, CardiovascularPhantoms, ImagingSignal-To-Noise RatioBlood Flow VelocityComputer SimulationErythrocytesHumansImage Processing, Computer-AssistedMicrocirculationMicrovesselsOxygenRegional Blood FlowTomography, Optical CoherenceOxygen

Identifiers

PMID25327449
PMCPMC4220784

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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.