Evidence map›Paper›PMID 32499928›Full record

ArticleBiomedical optics express2020

Exploration of movement artefacts in handheld laser speckle contrast perfusion imaging.

Ata Chizari, Tom Knop, Beril Sirmacek, Ferdinand van der Heijden, Wiendelt Steenbergen

Abstract read
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Wide dynamic range measurement of blood flowJournal of biomedical optics · 2024
    Article
  3. Article
  4. 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

5 authors.

Ata ChizariUniversity of Twente, Biomedical Photonic Imaging, Technical Medical Centre, Faculty of Science and Technology, Enschede, P.O. Box 217, 7500 AE, The Netherlands.ORCID https://orcid.org/0000-0001-7679-7077
Tom KnopUniversity of Twente, Biomedical Photonic Imaging, Technical Medical Centre, Faculty of Science and Technology, Enschede, P.O. Box 217, 7500 AE, The Netherlands.
Beril SirmacekUniversity of Twente, Robotics and Mechatronics, Technical Medical Centre, Faculty of Electrical Engineering, Mathematics and Computer Science, Enschede, P.O. Box 217, 7500 AE, The Netherlands.
Ferdinand van der HeijdenUniversity of Twente, Robotics and Mechatronics, Technical Medical Centre, Faculty of Electrical Engineering, Mathematics and Computer Science, Enschede, P.O. Box 217, 7500 AE, The Netherlands.ORCID https://orcid.org/0000-0001-8065-8053
Wiendelt SteenbergenUniversity of Twente, Biomedical Photonic Imaging, Technical Medical Centre, Faculty of Science and Technology, Enschede, P.O. Box 217, 7500 AE, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional performance of handheld laser speckle contrast imaging (LSCI) is compromised by movement artefacts. Here we quantify the movements of a handheld LSCI system employing electromagnetic (EM) tracking and measure the applied translational, tilt and on-surface laser beam speeds. By observing speckle contrast on static objects, the magnitudes of translation and tilt of wavefronts are explored for various scattering levels of the objects. We conclude that for tissue mimicking static phantoms, on-surface speeds play a dominant role to wavefront tilt speed in creation of movement artefacts. The ratio depends on the optical properties of the phantom. Furthermore, with the same applied speed, the drop in the speckle contrast increases with decreasing reduced scattering coefficient, and hence the related movement artefact increases.

Identifiers

PMID32499928
PMCPMC7249814

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.