Evidence map›Paper›PMID 25071969›Full record

ArticleBiomedical optics express2014

Magnetomotive optical coherence elastography using magnetic particles to induce mechanical waves.

Adeel Ahmad, Jongsik Kim, Nahil A Sobh, Nathan D Shemonski, Stephen A Boppart

Abstract read
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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Computational and structural biotechnology journal · 2023
    Review
  6. Article
  7. Introduction to optical coherence elastography: tutorial.Journal of the Optical Society of America. A, Optics, image science, and vision · 2022
    Article
  8. Review
  9. Wave-based optical coherence elastography: The 10-year perspective.Progress in biomedical engineering (Bristol, England) · 2022
    Article
  10. Biomechanical sensing ofTheranostics · 2021
    Article
  11. Ultrahigh-sensitive optical coherence elastography.Light, science & applications · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  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.

Adeel AhmadBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL, 61801 USA ; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1406 West Green St, Urbana, Illinois 61801, USA.
Jongsik KimBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL, 61801 USA ; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1406 West Green St, Urbana, Illinois 61801, USA.
Nahil A SobhBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL, 61801 USA ; Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Mathews Ave, Urbana, Illinois 61801, USA ; Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 West Green St, Urbana, Illinois 61801, USA.
Nathan D ShemonskiBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL, 61801 USA ; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1406 West Green St, Urbana, Illinois 61801, USA.
Stephen A BoppartBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL, 61801 USA ; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1406 West Green St, Urbana, Illinois 61801, USA ; Department of Bioengineering, University of Illinois at Urbana-Champaign, 1304 West Springfield Avenue, Urbana, Illinois 61801, USA ; Department of Internal Medicine, University of Illinois at Urbana-Champaign, 506 South Mathews Ave, Urbana, Illinois 61801, USA.

Funding

INTRAOPERATIVE OCT FOR DETERMINING LYMPH NODE STATUS AND STAGING CANCERR01EB012479 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2010 to 2013
$2.5M
Targeted Microspheres for Contrast Enhancement in Optical Coherence TomographyR01EB009073 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2009 to 2012
$1.3M
NIBIB NIH HHS R01 EB009073NIBIB NIH HHS R01 EB012479
6 · The paper itself

Abstract

Magnetic particles are versatile imaging agents that have found wide spread applicability in diagnostic, therapeutic, and rheology applications. In this study, we demonstrate that mechanical waves generated by a localized inclusion of magnetic nanoparticles can be used for assessment of the tissue viscoelastic properties using magnetomotive optical coherence elastography. We show these capabilities in tissue mimicking elastic and viscoelastic phantoms and in biological tissues by measuring the shear wave speed under magnetomotive excitation. Furthermore, we demonstrate the extraction of the complex shear modulus by measuring the shear wave speed at different frequencies and fitting to a Kelvin-Voigt model.

Indexed as

(110.4500) Optical coherence tomography(170.6935) Tissue characterization(260.2110) Electromagnetic optics(350.0350) Other areas of optics(350.5030) Phase

Identifiers

PMID25071969
PMCPMC4102369

What OpenQuestion holds

Textmetadata
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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.