Evidence map›Paper›PMID 26713195›Full record

ArticleBiomedical optics express2015

Improved velocimetry in optical coherence tomography using Bayesian analysis.

Kevin C Zhou, Brendan K Huang, Hemant Tagare, Michael A Choma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2015. 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
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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

4 authors.

Kevin C ZhouDepartment of Biomedical Engineering, Yale University, 55 Prospect St., New Haven, Connecticut 06520, USA.
Brendan K HuangDepartment of Biomedical Engineering, Yale University, 55 Prospect St., New Haven, Connecticut 06520, USA.
Hemant TagareDepartment of Biomedical Engineering, Yale University, 55 Prospect St., New Haven, Connecticut 06520, USA ; Department of Diagnostic Radiology, Yale University, 333 Cedar St., New Haven, Connecticut 06510, USA ; Department of Electrical Engineering, Yale University, 10 Hillhouse Ave., New Haven, Connecticut 06520, USA.
Michael A ChomaDepartment of Biomedical Engineering, Yale University, 55 Prospect St., New Haven, Connecticut 06520, USA ; Department of Diagnostic Radiology, Yale University, 333 Cedar St., New Haven, Connecticut 06510, USA ; Department of Pediatrics, Yale University, 333 Cedar St., New Haven, Connecticut 06510, USA ; Department of Applied Physics, Yale University, P.O. Box 208267, New Haven, Connecticut 06520, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Quantitative optical imaging of cilia-driven fluid flowR01HL118419 · NHLBI · YALE UNIVERSITY · PI KHOKHA, MUSTAFA K · 2013 to 2017
$2.0M
NHLBI NIH HHS R01 HL118419NIGMS NIH HHS T32 GM007205
6 · The paper itself

Abstract

OCT is a popular cross-sectional microscale imaging modality in medicine and biology. While structural imaging using OCT is a mature technology in many respects, flow and motion estimation using OCT remains an intense area of research. In particular, there is keen interest in maximizing information extraction from the complex-valued OCT signal. Here, we introduce a Bayesian framework into the data workflow in OCT-based velocimetry. We demonstrate that using prior information in this Bayesian framework can significantly improve velocity estimate precision in a correlation-based, model-based framework for Doppler and transverse velocimetry. We show results in calibrated flow phantoms as well as in vivo in a Drosophila melanogaster (fruit fly) heart. Thus, our work improves upon the current approaches in terms of improved information extraction from the complex-valued OCT signal.

Indexed as

(000.5490) Probability theory, stochastic processes, and statistics(030.6140) Speckle(110.4153) Motion estimation and optical flow(110.4500) Optical coherence tomography(170.3880) Medical and biological imaging(290.5820) Scattering measurements

Identifiers

PMID26713195
PMCPMC4679255

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.