Evidence map›Paper›PMID 24957945›Full record

ArticlePhysics in medicine and biology2014

Measuring myofiber orientations from high-frequency ultrasound images using multiscale decompositions.

Xulei Qin, Baowei Fei

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Imaging the Cardiac Extracellular Matrix.Advances in experimental medicine and biology · 2018
    Review
  6. Estimating cardiac fiber orientations in pig hearts using registered ultrasound and MR image volumes.Proceedings of SPIE--the International Society for Optical Engineering · 2017
    Article
  7. Article
  8. Determining Cardiac Fiber Orientation Using FSL and Registered Ultrasound/DTI volumes.Proceedings of SPIE--the International Society for Optical Engineering · 2016
    Article
  9. Article
  10. Article
  11. Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts.Proceedings of SPIE--the International Society for Optical Engineering · 2015
    Article
  12. Article
  13. Article
  14. 3DProceedings of SPIE--the International Society for Optical Engineering
    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.

Xulei QinDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30329, USA.
Baowei Fei

Funding

uPAR Targeted in Vivo Molecular Magnetic Resonance Imaging of....P50CA128301 · NCI · EMORY UNIVERSITY · PI SCHUSTER, DAVID MICHAEL · 2008 to 2012
$6.8M
MOLECULAR IMAGING DIRECTED, 3D ULTRASOUND-GUIDED, BIOPSY SYSTEMR01CA156775 · NCI · UNIVERSITY OF TEXAS DALLAS · PI FEI, BAOWEI · 2011 to 2016
$1.7M
Targeted fusion biopsy using anti-[18F]FACBC PET/CT and real-time 3D ultrasound gR21CA176684 · NCI · EMORY UNIVERSITY · PI FEI, BAOWEI, MASTER, VIRAJ · 2013 to 2014
$568k
Multimodality in vivo Molecular Imaging for Prostate PDTR21CA120536 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FEI, BAOWEI · 2006 to 2007
$326k
NCI NIH HHS P50 CA128301NCI NIH HHS P50CA128301NCI NIH HHS R01 CA156775NCI NIH HHS R01CA156775NCI NIH HHS R21 CA120536NCI NIH HHS R21 CA176684NCI NIH HHS R21CA176684
6 · The paper itself

Abstract

High-frequency ultrasound (HFU) has the ability to image both skeletal and cardiac muscles. The quantitative assessment of these myofiber orientations has a number of applications in both research and clinical examinations; however, difficulties arise due to the severe speckle noise contained in the HFU images. Thus, for the purpose of automatically measuring myofiber orientations from two-dimensional HFU images, we propose a two-step multiscale image decomposition method. It combines a nonlinear anisotropic diffusion filter and a coherence enhancing diffusion filter to extract myofibers. This method has been verified by ultrasound data from simulated phantoms, excised fiber phantoms, specimens of porcine hearts, and human skeletal muscles in vivo. The quantitative evaluations of both phantoms indicated that the myofiber measurements of our proposed method were more accurate than other methods. The myofiber orientations extracted from different layers of the porcine hearts matched the prediction of an established cardiac mode and demonstrated the feasibility of extracting cardiac myofiber orientations from HFU images ex vivo. Moreover, HFU also demonstrated the ability to measure myofiber orientations in vivo.

Indexed as

AnimalsEchocardiographyHeart VentriclesHumansImage Processing, Computer-AssistedMyocardiumPhantoms, ImagingSwine

Identifiers

PMID24957945
PMCPMC4137038

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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.