Evidence map›Paper›PMID 24156071›Full record

ArticleBiomedical optics express2013

Extracting three-dimensional orientation and tractography of myofibers using optical coherence tomography.

Yu Gan, Christine P Fleming

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  4. Article
  5. Cardiac multi-scale investigation of the right and left ventricleCardiovascular diagnosis and therapy · 2020
    Review
  6. Article
  7. Development of a polarized hyperspectral microscope for cardiac fiber orientation imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  8. Review
  9. Article
  10. Article
  11. Optical coherence tomography imaging of cardiac substrates.Quantitative imaging in medicine and surgery · 2019
    Review
  12. Optical phantoms for biomedical polarimetry: a review.Journal of biomedical optics · 2019
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

2 authors at 1 institution in 1 country.

Yu GanDepartment of Electrical Engineering, Columbia University, 500 West 120th Street, New York, New York, USA.
Christine P Fleming
Columbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal changes in orientation of myofibers are associated with various cardiac diseases such as arrhythmia, irregular contraction, and cardiomyopathy. To extract fiber information, we present a method of quantifying fiber orientation and reconstructing three-dimensional tractography of myofibers using optical coherence tomography (OCT). A gradient based algorithm was developed to quantify fiber orientation in three dimensions and particle filtering technique was employed to track myofibers. Prior to image processing, three-dimensional image data set were acquired from all cardiac chambers and ventricular septum of swine hearts using OCT system without optical clearing. The algorithm was validated through rotation test and comparison with manual measurements. The experimental results demonstrate that we are able to visualize three-dimensional fiber tractography in myocardium tissues.

Indexed as

(100.0100) Image processing(110.4500) Optical coherence tomography(170.6935) Tissue characterization

Identifiers

PMID24156071
PMCPMC3799673
OpenAlexW2159520488

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.