Evidence map›Paper›PMID 28663926›Full record

ArticleBiomedical optics express2017

Regression-based algorithm for bulk motion subtraction in optical coherence tomography angiography.

Acner Camino, Yali Jia, Gangjun Liu, Jie Wang, David Huang

Abstract read
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Widefield OCT angiography.Progress in retinal and eye research · 2025
    Review
  3. Advances in OCT Angiography.Translational vision science & technology · 2025
    Review
  4. Optical coherence tomography angiography in diabetic retinopathy.Progress in retinal and eye research · 2023
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Artificial intelligence in OCT angiography.Progress in retinal and eye research · 2021
    Review
  12. Article
  13. Article
  14. Artifacts and artifact removal in optical coherence tomographic angiography.Quantitative imaging in medicine and surgery · 2021
    Review
  15. Review
  16. Article
  17. Article
  18. Observational
  19. Article
  20. 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.

Acner CaminoCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
Yali JiaCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
Gangjun LiuCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
Jie WangCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
David HuangCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Kate E Keller · 1995 to 2026
$19.4M
Functional and Structural Optical Coherence Tomography for GlaucomaR01EY023285 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI David Huang · 2013 to 2026
$8.8M
OCT Angiography for Neovascular Age-related Macular DegenerationR01EY024544 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Steven T Bailey, Yali Jia · 2014 to 2026
$6.2M
Wide-field and projection-resolved optical coherence tomography angiography in diabetic retinopathyR01EY027833 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI HWANG, THOMAS, JIA, YALI · 2017 to 2020
$1.8M
Functional Optical Coherence Tomography-derived Biomarkers for Diabetic RetinopathyDP3DK104397 · NIDDK · OREGON HEALTH & SCIENCE UNIVERSITY · PI JIA, YALI, WILSON, DAVID J · 2014 to 2014
$1.0M
NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY023285NEI NIH HHS R01 EY024544NEI NIH HHS R01 EY027833NIDDK NIH HHS DP3 DK104397
6 · The paper itself

Abstract

We developed an algorithm to remove decorrelation noise due to bulk motion in optical coherence tomography angiography (OCTA) of the posterior eye. In this algorithm, OCTA B-frames were divided into segments within which the bulk motion velocity could be assumed to be constant. This velocity was recovered using linear regression of decorrelation versus the logarithm of reflectance in axial lines (A-lines) identified as bulk tissue by percentile analysis. The fitting parameters were used to calculate a reflectance-adjusted upper bound threshold for bulk motion decorrelation. Below this threshold, voxels are identified as non-flow tissue, their flow values are set to zeros. Above this threshold, the voxels are identified as flow voxels and bulk motion velocity is subtracted from each using a nonlinear decorrelation-velocity relationship previously established in laboratory flow phantoms. Compared to the simpler median-subtraction method, the regression-based bulk motion subtraction improved angiogram signal-to-noise ratio, contrast, vessel density repeatability, and bulk motion noise cleanup in the foveal avascular zone, while preserving the connectivity of the vascular networks in the angiogram.

Indexed as

(100.2980) Image enhancement(170.4470) Ophthalmology(170.4500) Optical coherence tomography(330.4150) Motion detection

Identifiers

PMID28663926
PMCPMC5480449

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.