Evidence map›Paper›PMID 26578642›Full record

ArticleUltrasonic imaging2016

Segmental Analysis of Cardiac Short-Axis Views Using Lagrangian Radial and Circumferential Strain.

Chi Ma, Xiao Wang, Tomy Varghese

Abstract read
In one paragraph

Article in Ultrasonic imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Lagrangian deformation tracking for strain imaging.Progress in biomedical engineering (Bristol, England) · 2026
    Review
  2. Article
  3. Article
  4. Spatiotemporal Bayesian Regularization for Cardiac Strain Imaging: Simulation andIEEE open journal of ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  5. Article
  6. Automated analysis of cardiovascular magnetic resonance myocardial native TJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019
    Article
  7. Article
  8. 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

3 authors.

Chi MaDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Xiao WangDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Tomy VargheseDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA tvarghese@wisc.edu.

Funding

Real-time Ultrasonic Monitoring of Tumor AblationR01CA112192 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI VARGHESE, TOMY · 2007 to 2017
$2.6M
Vulnerable Plaque Detection with Carotid Strain ImagingR21EB010098 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI VARGHESE, TOMY · 2009 to 2010
$407k
NCI NIH HHS R01 CA112192NIBIB NIH HHS R21 EB010098
6 · The paper itself

Abstract

Accurate description of myocardial deformation in the left ventricle is a three-dimensional problem, requiring three normal strain components along its natural axis, that is, longitudinal, radial, and circumferential strains. Although longitudinal strains are best estimated from long-axis views, radial and circumferential strains are best depicted in short-axis views. An algorithm that utilizes a polar grid for short-axis views previously developed in our laboratory for a Lagrangian description of tissue deformation is utilized for radial and circumferential displacement and strain estimation. Deformation of the myocardial wall, utilizing numerical simulations with ANSYS, and a finite-element analysis-based canine heart model were adapted as the input to a frequency-domain ultrasound simulation program to generate radiofrequency echo signals. Clinical in vivo data were also acquired from a healthy volunteer. Local displacements estimated along and perpendicular to the ultrasound beam propagation direction are then transformed into radial and circumferential displacements and strains using the polar grid based on a pre-determined centroid location. Lagrangian strain variations demonstrate good agreement with the ideal strain when compared with Eulerian results. Lagrangian radial and circumferential strain estimation results are also demonstrated for experimental data on a healthy volunteer. Lagrangian radial and circumferential strain tracking provide accurate results with the assistance of the polar grid, as demonstrated using both numerical simulations and in vivo study.

Indexed as

AlgorithmsEchocardiography, Three-DimensionalHeart VentriclesHumansImage Interpretation, Computer-AssistedReference ValuesVentricular FunctionANSYS simulationcardiac strain imagingechocardiographic strain imagingelastographyLagrangian approachradial and circumferential strainultrasound

Identifiers

PMID26578642
PMCPMC4868801

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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.