Evidence map›Paper›PMID 27896009›Full record

ArticleBiomedical optics express2016

Nonlinear characterization of elasticity using quantitative optical coherence elastography.

Yi Qiu, Farzana R Zaki, Namas Chandra, Shawn A Chester, Xuan Liu

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

  1. Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026
    Review
  2. Article
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  5. Biomedical optics express · 2024
    Article
  6. Article
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  8. Intravascular optical coherence elastography.Biomedical optics express · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Spatial coordinate corrected motion tracking for optical coherence elastography.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  17. Article
  18. Article
  19. Photoacoustic elastography imaging: a review.Journal of biomedical optics · 2019
    Review
  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 at 1 institution in 1 country.

Yi QiuDepartment of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
Farzana R ZakiDepartment of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
Namas ChandraDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
Shawn A ChesterDepartment of Mechanical and Industrial Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
Xuan LiuDepartment of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
New Jersey Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence elastography (OCE) has been used to perform mechanical characterization on biological tissue at the microscopic scale. In this work, we used quantitative optical coherence elastography (qOCE), a novel technology we recently developed, to study the nonlinear elastic behavior of biological tissue. The qOCE system had a fiber-optic probe to exert a compressive force to deform tissue under the tip of the probe. Using the space-division multiplexed optical coherence tomography (OCT) signal detected by a spectral domain OCT engine, we were able to simultaneously quantify the probe deformation that was proportional to the force applied, and to quantify the tissue deformation. In other words, our qOCE system allowed us to establish the relationship between mechanical stimulus and tissue response to characterize the stiffness of biological tissue. Most biological tissues have nonlinear elastic behavior, and the apparent stress-strain relationship characterized by our qOCE system was nonlinear an extended range of strain, for a tissue-mimicking phantom as well as biological tissues. Our experimental results suggested that the quantification of force in OCE was critical for accurate characterization of tissue mechanical properties and the qOCE technique was capable of differentiating biological tissues based on the elasticity of tissue that is generally nonlinear.

Indexed as

(170.4500) Optical coherence tomography(170.6935) Tissue characterization(280.4788) Optical sensing and sensors

Identifiers

PMID27896009
PMCPMC5119609
OpenAlexW2544276774

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.