Evidence map›Paper›PMID 30215245›Full record

ArticleJournal of biomedical optics2018

Photoacoustic speckle tracking for motion estimation and flow analysis.

Hein de Hoop, Heechul Yoon, Kelsey Kubelick, Stanislav Emelianov

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical optics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. Article
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

4 authors at 3 institutions in 2 countries.

Hein de HoopGeorgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States.
Heechul YoonGeorgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States.
Kelsey KubelickGeorgia Institute of Technology and Emory University School of Medicine, The Wallace H. Coulter Depa, United States.
Stanislav EmelianovGeorgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States.
Eindhoven University of Technology · NLGeorgia Institute of Technology · USThe Wallace H. Coulter Department of Biomedical Engineering · US

Funding

Functional, cellular, and molecular imaging and therapy monitoring using ultrasouR01CA158598 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI EMELIANOV, STANISLAV Y, ESTEVA, FRANCISCO J · 2012 to 2018
$2.8M
Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
Assessment of cerebrospinal fluid flowR21NS090336 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI AGLYAMOV, SALAVAT R · 2015 to 2016
$427k
NCI NIH HHS R01 CA158598NIBIB NIH HHS T32 EB007507NINDS NIH HHS R21 NS090336
6 · The paper itself

Abstract

This study explores photoacoustic (PA) speckle tracking to characterize flow as an alternative to ultrasound (US) speckle tracking or current PA flow imaging methods. In cases where tracking of submicrometer particles is required, the US signal-to-noise ratio and contrast might be low due to limited reflectivity of subwavelength size targets at low concentrations. However, it may be possible to perform more accurate velocimetry using PAs due to different contrast mechanisms utilized in PA imaging. Here, we introduce a PA-based speckle tracking method that overcomes the directional dependence of Doppler imaging and the limited field of view of current correlation-based methods used in PA flow imaging. The feasibility of this method is demonstrated in a potential application-minimally invasive diagnosis of ventricular shunt malfunction, where the velocity of optically absorbing particles was estimated in a shunt catheter using block matching of PA and US signals. Overall, our study demonstrates the potential of the PA-based motion tracking method under various flow rates where US imaging cannot be effectively used for specking tracking because of its low contrast and low signal-to-noise ratio.

Indexed as

AlgorithmsCathetersImage Processing, Computer-AssistedModels, BiologicalMotionPhotoacoustic TechniquesRheologyUltrasonographyflow imagingmotion analysisphotoacoustic imagingshunt malfunctionspeckle trackingultrasound imaging

Identifiers

PMID30215245
PMCPMC6170141
OpenAlexW2890272936

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.