Evidence map›Paper›PMID 33520381›Full record

ArticleBiomedical optics express2021

Efficient and high accuracy 3-D OCT angiography motion correction in pathology.

Stefan B Ploner, Martin F Kraus, Eric M Moult, Lennart Husvogt, Julia Schottenhamml, A Yasin Alibhai, Nadia K Waheed, Jay S Duker, James G Fujimoto, Andreas K Maier

Abstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Widefield OCT angiography.Progress in retinal and eye research · 2025
    Review
  2. Advances in OCT Angiography.Translational vision science & technology · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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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

10 authors.

Stefan B PlonerPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, Erlangen, 91058, Germany.ORCID https://orcid.org/0000-0003-4286-8687
Martin F KrausPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, Erlangen, 91058, Germany.
Eric M MoultDepartment of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.
Lennart HusvogtPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, Erlangen, 91058, Germany.ORCID https://orcid.org/0000-0002-7318-2680
Julia SchottenhammlPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, Erlangen, 91058, Germany.
A Yasin AlibhaiNew England Eye Center, Tufts Medical Center, 800 Washington St. Box 450, Boston, MA 02111, USA.
Nadia K WaheedNew England Eye Center, Tufts Medical Center, 800 Washington St. Box 450, Boston, MA 02111, USA.
Jay S DukerNew England Eye Center, Tufts Medical Center, 800 Washington St. Box 450, Boston, MA 02111, USA.
James G FujimotoDepartment of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.
Andreas K MaierPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, Erlangen, 91058, Germany.

Funding

Novel Optical Diagnostics with Optical Coherence TomographyR01EY011289 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JAMES G FUJIMOTO · 1995 to 2026
$9.5M
NEI NIH HHS R01 EY011289
6 · The paper itself

Abstract

We describe a novel method for non-rigid 3-D motion correction of orthogonally raster-scanned optical coherence tomography angiography volumes. This is the first approach that aligns predominantly axial structural features such as retinal layers as well as transverse angiographic vascular features in a joint optimization. Combined with orthogonal scanning and favorization of kinematically more plausible displacements, subpixel alignment and micrometer-scale distortion correction is achieved in all 3 dimensions. As no specific structures are segmented, the method is by design robust to pathologic changes. Furthermore, the method is designed for highly parallel implementation and short runtime, allowing its integration into clinical workflow even for high density or wide-field scans. We evaluated the algorithm with metrics related to clinically relevant features in an extensive quantitative evaluation based on 204 volumetric scans of 17 subjects, including patients with diverse pathologies and healthy controls. Using this method, we achieve state-of-the-art axial motion correction and show significant advances in both transverse co-alignment and distortion correction, especially in the subgroup with pathology.

Identifiers

PMID33520381
PMCPMC7818965

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.