Evidence map›Paper›PMID 36641561›Full record

ArticleFrontiers of optoelectronics2020

Numerical method for axial motion artifact correction in retinal spectral-domain optical coherence tomography.

Sergey Yu Ksenofontov, Pavel A Shilyagin, Dmitry A Terpelov, Valentin M Gelikonov, Grigory V Gelikonov

Open access · greenAbstract read
In one paragraph

Article in Frontiers of optoelectronics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. LEARNING TO CORRECT AXIAL MOTION IN OCT FOR 3D RETINAL IMAGING.Proceedings. International Conference on Image Processing · 2021
    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 at 1 institution in 1 country.

Sergey Yu KsenofontovBioMedTech Llc, Nizhny Novgorod, 603155, Russia.
Pavel A ShilyaginInstitute of Applied Physics of the Russian Academy of Science, Nizhny Novgorod, 603950, Russia. shilyagin@ipfran.ru.
Dmitry A TerpelovInstitute of Applied Physics of the Russian Academy of Science, Nizhny Novgorod, 603950, Russia.
Valentin M GelikonovInstitute of Applied Physics of the Russian Academy of Science, Nizhny Novgorod, 603950, Russia.
Grigory V GelikonovInstitute of Applied Physics of the Russian Academy of Science, Nizhny Novgorod, 603950, Russia.
Institute of Applied Physics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A numerical method that compensates image distortions caused by random fluctuations of the distance to an object in spectral-domain optical coherence tomography (SD OCT) has been proposed and verified experimentally. The proposed method is based on the analysis of the phase shifts between adjacent scans that are caused by micrometer-scale displacements and the subsequent compensation for the displacements through phase-frequency correction in the spectral space. The efficiency of the method is demonstrated in model experiments with harmonic and random movements of a scattering object as well as during in vivo imaging of the retina of the human eye.

Indexed as

motion artifact correctionnumerical methodoptical coherence tomography (OCT)retinal imaging

Identifiers

PMID36641561
PMCPMC9743928
OpenAlexW3000481748

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.