Literature DB >> 26578642

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

Chi Ma1, Xiao Wang1, Tomy Varghese2.   

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.
© The Author(s) 2015.

Entities:  

Keywords:  ANSYS simulation; Lagrangian approach; cardiac strain imaging; echocardiographic strain imaging; elastography; radial and circumferential strain; ultrasound

Mesh:

Year:  2015        PMID: 26578642      PMCID: PMC4868801          DOI: 10.1177/0161734615613322

Source DB:  PubMed          Journal:  Ultrason Imaging        ISSN: 0161-7346            Impact factor:   1.578


  56 in total

1.  Two-dimensional strain-a novel software for real-time quantitative echocardiographic assessment of myocardial function.

Authors:  Marina Leitman; Peter Lysyansky; Stanislav Sidenko; Vladimir Shir; Eli Peleg; Michal Binenbaum; Edo Kaluski; Ricardo Krakover; Zvi Vered
Journal:  J Am Soc Echocardiogr       Date:  2004-10       Impact factor: 5.251

2.  Lagrangian displacement tracking using a polar grid between endocardial and epicardial contours for cardiac strain imaging.

Authors:  Chi Ma; Tomy Varghese
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

3.  Methodical study on the estimation of strain in shearing and rotating structures using radio frequency ultrasound based on 1-D and 2-D strain estimation techniques.

Authors:  Richard Lopata; Hendrik Hansen; Maartje Nillesen; Johan Thijssen; Livia Kapusta; Chris de Korte
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2010-04       Impact factor: 2.725

Review 4.  Recommendations for chamber quantification.

Authors:  Roberto M Lang; Michelle Bierig; Richard B Devereux; Frank A Flachskampf; Elyse Foster; Patricia A Pellikka; Michael H Picard; Mary J Roman; James Seward; Jack Shanewise; Scott Solomon; Kirk T Spencer; Martin St John Sutton; William Stewart
Journal:  Eur J Echocardiogr       Date:  2006-02-02

5.  Estimation of radial strain and rotation using a new algorithm based on speckle tracking.

Authors:  François Tournoux; Raymond C Chan; Mark D Handschumacher; Ivan S Salgo; Robert Manzke; Scott Settlemier; J Luis Guerrero; Ricardo C Cury; Arthur E Weyman; Michael H Picard
Journal:  J Am Soc Echocardiogr       Date:  2008-07-31       Impact factor: 5.251

6.  Multilevel hybrid 2D strain imaging algorithm for ultrasound sector/phased arrays.

Authors:  Hao Chen; Tomy Varghese
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

7.  Assessment of left ventricular function by different speckle-tracking software.

Authors:  Ana Manovel; David Dawson; Benjamin Smith; Petros Nihoyannopoulos
Journal:  Eur J Echocardiogr       Date:  2010-02-27

8.  3D strain assessment in ultrasound (Straus): a synthetic comparison of five tracking methodologies.

Authors:  M De Craene; S Marchesseau; B Heyde; H Gao; M Alessandrini; O Bernard; G Piella; A R Porras; L Tautz; A Hennemuth; A Prakosa; H Liebgott; O Somphone; P Allain; S Makram Ebeid; H Delingette; M Sermesant; J D'hooge; E Saloux
Journal:  IEEE Trans Med Imaging       Date:  2013-05-06       Impact factor: 10.048

9.  Layer-specific radiofrequency ultrasound-based strain analysis in a porcine model of ischemic cardiomyopathy validated by a geometric model.

Authors:  Frebus J van Slochteren; Tycho I G van der Spoel; Hendrik H G Hansen; Peter H M Bovendeerd; Pieter A Doevendans; Joost P G Sluijter; Steven A J Chamuleau; Chris L de Korte
Journal:  Ultrasound Med Biol       Date:  2013-12-07       Impact factor: 2.998

10.  Non-rigid image registration based strain estimator for intravascular ultrasound elastography.

Authors:  Michael S Richards; Marvin M Doyley
Journal:  Ultrasound Med Biol       Date:  2012-12-15       Impact factor: 2.998

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  6 in total

1.  Real-Time in Vivo Photoacoustic Imaging in the Assessment of Myocardial Dynamics in Murine Model of Myocardial Ischemia.

Authors:  Rashid Al Mukaddim; Allison Rodgers; Timothy A Hacker; Andrew Heinmiller; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2018-07-29       Impact factor: 2.998

2.  Mathematical Development and Computational Analysis of Harmonic Phase-Magnetic Resonance Imaging (HARP-MRI) Based on Bloch Nuclear Magnetic Resonance (NMR) Diffusion Model for Myocardial Motion.

Authors:  Michael O Dada; Babatunde Jayeoba; Bamidele O Awojoyogbe; Uno E Uno; Oluseyi E Awe
Journal:  J Med Syst       Date:  2017-09-13       Impact factor: 4.460

3.  Hierarchical Motion Estimation With Bayesian Regularization in Cardiac Elastography: Simulation and In Vivo Validation.

Authors:  Rashid Al Mukaddim; Nirvedh H Meshram; Carol C Mitchell; Tomy Varghese
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-07-12       Impact factor: 2.725

4.  Murine cardiac fibrosis localization using adaptive Bayesian cardiac strain imaging in vivo.

Authors:  Rashid Al Mukaddim; Ashley M Weichmann; Rachel Taylor; Timothy A Hacker; Thomas Pier; Joseph Hardin; Melissa Graham; Carol C Mitchell; Tomy Varghese
Journal:  Sci Rep       Date:  2022-05-20       Impact factor: 4.996

5.  Automated analysis of cardiovascular magnetic resonance myocardial native T1 mapping images using fully convolutional neural networks.

Authors:  Ahmed S Fahmy; Hossam El-Rewaidy; Maryam Nezafat; Shiro Nakamori; Reza Nezafat
Journal:  J Cardiovasc Magn Reson       Date:  2019-01-14       Impact factor: 5.364

6.  Spatiotemporal Bayesian Regularization for Cardiac Strain Imaging: Simulation and In Vivo Results.

Authors:  Rashid Al Mukaddim; Nirvedh H Meshram; Ashley M Weichmann; Carol C Mitchell; Tomy Varghese
Journal:  IEEE Open J Ultrason Ferroelectr Freq Control       Date:  2021-11-22
  6 in total

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