Evidence map›Paper›PMID 25401007›Full record

ArticleBiomedical optics express2014

Analysis of image formation in optical coherence elastography using a multiphysics approach.

Lixin Chin, Andrea Curatolo, Brendan F Kennedy, Barry J Doyle, Peter R T Munro, Robert A McLaughlin, David D Sampson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026
    Review
  3. Article
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  15. Wave-based optical coherence elastography: The 10-year perspective.Progress in biomedical engineering (Bristol, England) · 2022
    Article
  16. Article
  17. 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

7 authors.

Lixin ChinOptical + Biomedical Engineering Laboratory, School of Electrical, Electronic & Computer Engineering, The University of Western Australia, Crawley, Australia ; These authors contributed equally to this work.
Andrea CuratoloOptical + Biomedical Engineering Laboratory, School of Electrical, Electronic & Computer Engineering, The University of Western Australia, Crawley, Australia ; These authors contributed equally to this work.
Brendan F KennedyOptical + Biomedical Engineering Laboratory, School of Electrical, Electronic & Computer Engineering, The University of Western Australia, Crawley, Australia.
Barry J DoyleVascular Engineering, Intelligent Systems for Medicine Laboratory, School of Mechanical & Chemical Engineering, The University of Western Australia, Crawley, Australia ; Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Peter R T MunroOptical + Biomedical Engineering Laboratory, School of Electrical, Electronic & Computer Engineering, The University of Western Australia, Crawley, Australia ; Centre for Microscopy, Characterisation & Analysis, The University of Western Australia, Crawley, Australia.
Robert A McLaughlinOptical + Biomedical Engineering Laboratory, School of Electrical, Electronic & Computer Engineering, The University of Western Australia, Crawley, Australia.
David D SampsonOptical + Biomedical Engineering Laboratory, School of Electrical, Electronic & Computer Engineering, The University of Western Australia, Crawley, Australia ; Centre for Microscopy, Characterisation & Analysis, The University of Western Australia, Crawley, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IMAGE FORMATION IN OPTICAL COHERENCE ELASTOGRAPHY (OCE) RESULTS FROM A COMBINATION OF TWO PROCESSES: the mechanical deformation imparted to the sample and the detection of the resulting displacement using optical coherence tomography (OCT). We present a multiphysics model of these processes, validated by simulating strain elastograms acquired using phase-sensitive compression OCE, and demonstrating close correspondence with experimental results. Using the model, we present evidence that the approximation commonly used to infer sample displacement in phase-sensitive OCE is invalidated for smaller deformations than has been previously considered, significantly affecting the measurement precision, as quantified by the displacement sensitivity and the elastogram signal-to-noise ratio. We show how the precision of OCE is affected not only by OCT shot-noise, as is usually considered, but additionally by phase decorrelation due to the sample deformation. This multiphysics model provides a general framework that could be used to compare and contrast different OCE techniques.

Indexed as

(000.3860) Mathematical methods in physics(000.4430) Numerical approximation and analysis(030.6140) Speckle(110.2990) Image formation theory(110.4500) Optical coherence tomography

Identifiers

PMID25401007
PMCPMC4230875

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.