Literature DB >> 24150239

A validation of two-dimensional in vivo regional strain computed from displacement encoding with stimulated echoes (DENSE), in reference to tagged magnetic resonance imaging and studies in repeatability.

Julia Kar1, Andrew K Knutsen, Brian P Cupps, Michael K Pasque.   

Abstract

Fast cine displacement encoding with stimulated echoes (DENSE) has comparative advantages over tagged MRI (TMRI) including higher spatial resolution and faster post-processing. This study computed regional radial and circumferential myocardial strains with DENSE displacements and validated it in reference to TMRI, according to American Heart Association (AHA) guidelines for standardized segmentation of regions in the left ventricle (LV). This study was therefore novel in examining agreement between the modalities in 16 AHA recommended LV segments. DENSE displacements were obtained with spatiotemporal phase unwrapping and TMRI displacements obtained with a conventional tag-finding algorithm. A validation study with a rotating phantom established similar shear strain between modalities prior to in vivo studies. A novel meshfree nearest node finite element method (NNFEM) was used for rapid computation of Lagrange strain in both phantom and in vivo studies in both modalities. Also novel was conducting in vivo repeatability studies for observing recurring strain patterns in DENSE and increase confidence in it. Comprehensive regional strain agreements via Bland-Altman analysis between the modalities were obtained. Results from the phantom study showed similar radial-circumferential shear strains from the two modalities. Mean differences in regional in vivo circumferential strains were -0.01 ± 0.09 (95% limits of agreement) from comparing the modalities and -0.01 ± 0.07 from repeatability studies. Differences and means from comparison and repeatability studies were uncorrelated (p > 0.05) indicating no increases in differences with increased strain magnitudes. Bland-Altman analysis and similarities in regional strain distribution within the myocardium showed good agreements between DENSE and TMRI and show their interchangeability. NNFEM was also established as a common framework for computing strain in both modalities.

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Year:  2013        PMID: 24150239      PMCID: PMC3943822          DOI: 10.1007/s10439-013-0931-2

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  40 in total

1.  Generalized spatiotemporal myocardial strain analysis for DENSE and SPAMM imaging.

Authors:  Alistair A Young; Bo Li; Robert S Kirton; Brett R Cowan
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2.  DENSE: displacement encoding with stimulated echoes in cardiac functional MRI.

Authors:  A H Aletras; S Ding; R S Balaban; H Wen
Journal:  J Magn Reson       Date:  1999-03       Impact factor: 2.229

3.  Optimization of tag thickness for measuring position with magnetic resonance imaging.

Authors:  E Atalar; E R McVeigh
Journal:  IEEE Trans Med Imaging       Date:  1994       Impact factor: 10.048

4.  Tracking myocardial deformation using phase contrast MR velocity fields: a stochastic approach.

Authors:  F G Meyer; R T Constable; A J Sinusas; J S Duncan
Journal:  IEEE Trans Med Imaging       Date:  1996       Impact factor: 10.048

5.  Noninvasive measurement of transmural gradients in myocardial strain with MR imaging.

Authors:  E R McVeigh; E A Zerhouni
Journal:  Radiology       Date:  1991-09       Impact factor: 11.105

6.  Heterogeneous distribution of left ventricular contractile injury in chronic aortic insufficiency.

Authors:  Andrew K Knutsen; Ningning Ma; Ajay K Taggar; Beckah D Brady; Brian P Cupps; Michael K Pasque
Journal:  Ann Thorac Surg       Date:  2012-03-03       Impact factor: 4.330

7.  Tagged MR imaging in a deforming phantom: photographic validation.

Authors:  C C Moore; S B Reeder; E R McVeigh
Journal:  Radiology       Date:  1994-03       Impact factor: 11.105

8.  Noninvasive, quantitative assessment of left ventricular function in ischemic cardiomyopathy.

Authors:  Pavlos Moustakidis; Brian P Cupps; Benjamin J Pomerantz; Randall P Scheri; Hersh S Maniar; Andrew M Kates; Robert J Gropler; Michael K Pasque; Thoralf M Sundt
Journal:  J Surg Res       Date:  2004-02       Impact factor: 2.192

9.  Comprehensive cardiovascular magnetic resonance of myocardial mechanics in mice using three-dimensional cine DENSE.

Authors:  Xiaodong Zhong; Lauren B Gibberman; Bruce S Spottiswoode; Andrew D Gilliam; Craig H Meyer; Brent A French; Frederick H Epstein
Journal:  J Cardiovasc Magn Reson       Date:  2011-12-30       Impact factor: 5.364

10.  Volumetric motion quantification by 3D tissue phase mapped CMR.

Authors:  Anja Lutz; Jan Paul; Axel Bornstedt; G Ulrich Nienhaus; Patrick Etyngier; Peter Bernhardt; Wolfgang Rottbauer; Volker Rasche
Journal:  J Cardiovasc Magn Reson       Date:  2012-10-26       Impact factor: 5.364

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  19 in total

1.  Three-dimensional regional strain computation method with displacement encoding with stimulated echoes (DENSE) in non-ischemic, non-valvular dilated cardiomyopathy patients and healthy subjects validated by tagged MRI.

Authors:  Julia Kar; Andrew K Knutsen; Brian P Cupps; Xiaodong Zhong; Michael K Pasque
Journal:  J Magn Reson Imaging       Date:  2014-02-07       Impact factor: 4.813

2.  Quantifying "normalized" regional left ventricular contractile function in ischemic coronary artery disease.

Authors:  Matthew C Henn; Brian P Cupps; Julia Kar; Kevin Kulshrestha; Danielle Koerner; Alan C Braverman; Michael K Pasque
Journal:  J Thorac Cardiovasc Surg       Date:  2015-04-01       Impact factor: 5.209

3.  Topographic mapping of left ventricular regional contractile injury in ischemic mitral regurgitation.

Authors:  Timothy S Lancaster; Julia Kar; Brian P Cupps; Matthew C Henn; Kevin Kulshrestha; Danielle J Koerner; Michael K Pasque
Journal:  J Thorac Cardiovasc Surg       Date:  2016-12-19       Impact factor: 5.209

4.  In Vitro Validation of Regional Circumferential Strain Assessment in a Phantom Aortic Model Using Cine Displacement Encoding With Stimulated Echoes MRI.

Authors:  John S Wilson; Muhammad Islam; John N Oshinski
Journal:  J Magn Reson Imaging       Date:  2021-10-27       Impact factor: 5.119

5.  Preliminary investigation of multiparametric strain Z-score (MPZS) computation using displacement encoding with simulated echoes (DENSE) and radial point interpretation method (RPIM).

Authors:  Julia Kar; Brian Cupps; Xiaodong Zhong; Danielle Koerner; Kevin Kulshrestha; Samuel Neudecker; Jennifer Bell; Heidi Craddock; Michael Pasque
Journal:  J Magn Reson Imaging       Date:  2016-03-31       Impact factor: 4.813

6.  Comprehensive enhanced methodology of an MRI-based automated left-ventricular chamber quantification algorithm and validation in chemotherapy-related cardiotoxicity.

Authors:  Julia Kar; Michael V Cohen; Samuel A McQuiston; Christopher M Malozzi
Journal:  J Med Imaging (Bellingham)       Date:  2020-11-16

7.  Fully automated and comprehensive MRI-based left-ventricular contractility analysis in post-chemotherapy breast cancer patients.

Authors:  Julia Kar; Michael V Cohen; Samuel A McQuiston; Maria S Figarola; Christopher M Malozzi
Journal:  Br J Radiol       Date:  2019-10-23       Impact factor: 3.039

8.  Validation of a deep-learning semantic segmentation approach to fully automate MRI-based left-ventricular deformation analysis in cardiotoxicity.

Authors:  Julia Karr; Michael Cohen; Samuel A McQuiston; Teja Poorsala; Christopher Malozzi
Journal:  Br J Radiol       Date:  2021-02-24       Impact factor: 3.039

9.  A deep-learning semantic segmentation approach to fully automated MRI-based left-ventricular deformation analysis in cardiotoxicity.

Authors:  By Julia Kar; Michael V Cohen; Samuel P McQuiston; Christopher M Malozzi
Journal:  Magn Reson Imaging       Date:  2021-02-08       Impact factor: 2.546

10.  Direct left-ventricular global longitudinal strain (GLS) computation with a fully convolutional network.

Authors:  Julia Kar; Michael V Cohen; Samuel A McQuiston; Teja Poorsala; Christopher M Malozzi
Journal:  J Biomech       Date:  2021-11-27       Impact factor: 2.712

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