Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting.

Background: Cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) is a promising technique for quantification of myocardial strain from steady-state free precession (SSFP) cine images. We sought to determine the variability of CMR-FT using a non-rigid elastic registration algorithm...

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Published in:Journal of Cardiovascular Magnetic Resonance (Elsevier B.V. ) Vol. 19; pp. 1 - 14
Main Authors: Morais, Pedro, Marchi, Alberto, Bogaert, Julie A., Dresselaers, Tom, Heyde, Brecht, D'hooge, Jan, Bogaert, Jan
Format: diagnostic images research tables/charts Journal Article
Published: Elsevier B.V. 2/17/2017
Online Access:View this record in EBSCOhost
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      dt: 2/17/2017
      vid: 19
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      pub: Elsevier B.V.
      place: New York, New York
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        atl: Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting.
      aug:
        au:
          Morais, Pedro
          Marchi, Alberto
          Bogaert, Julie A.
          Dresselaers, Tom
          Heyde, Brecht
          D'hooge, Jan
          Bogaert, Jan
        affil: Lab on Cardiovascular Imaging & Dynamics, Department of Cardiovascular Sciences, KULeuven - University of Leuven, Herestraat 49, Leuven, Belgium
      sug:
        subj:
          Algorithms
          Magnetic Resonance Imaging Methods
          Myocardium Pathology
          Myocardium Analysis
          Myocardial Diseases Diagnosis
          Human
          Myocardial Contraction
          Reproducibility of Results
          Ventricular Function, Left
          Data Analysis Software
          Prospective Studies
          Descriptive Statistics
          Diastole
          Interrater Reliability
          Intrarater Reliability
          Intraclass Correlation Coefficient
          Male
          Adult
          Random Sample
          Female
          Middle Age
          Systole
          Paired T-Tests
          Confidence Intervals
          P-Value
          Ventricular Ejection Fraction
          Funding Source
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Background: Cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) is a promising technique for quantification of myocardial strain from steady-state free precession (SSFP) cine images. We sought to determine the variability of CMR-FT using a non-rigid elastic registration algorithm recently available in a commercial software package (Segment, Medviso) in a real-life clinical setting. Methods: Firstly, we studied the variability in a healthy volunteer who underwent 10 CMR studies over five consecutive days. Secondly, 10 patients were selected from our CMR database yielding normal findings (normal group). Finally, we prospectively studied 10 patients with known or suspected myocardial pathology referred for further investigation to CMR (patient group). In the patient group a second study was performed respecting an interval of 30 min between studies. All studies were manually segmented at the end-diastolic phase by three observers. In all subjects left ventricular (LV) circumferential and radial strain were calculated in the short-axis direction (EccSAX and ErrSAX, respectively) and longitudinal strain in the long-axis direction (EllLAX). The level of CMR experience of the observers was 2 weeks, 6 months and >20 years. Results: Mean contouring time was 7 ± 1 min, mean FT calculation time 13 ± 2 min. Intra- and inter-observer variability was good to excellent with an coefficient of reproducibility (CR) ranging 1.6% to 11.5%, and 1.7% to 16.0%, respectively and an intraclass correlation coefficient (ICC) ranging 0.89 to 1.00 and 0.74 to 0.99, respectively. Variability considerably increased in the test-retest setting with a CR ranging 4.2% to 29.1% and an ICC ranging 0.66 to 0.95 in the patient group. Variability was not influenced by level of expertise of the observers. Neither did the presence of myocardial pathology at CMR negatively impact variability. However, compared to global myocardial strain, segmental myocardial strain variability increased with a factor 2-3, in particular for the basal and apical short-axis slices. Conclusions: CMR-FT using non-rigid, elastic registration is a reproducible approach for strain analysis in patients routinely scheduled for CMR, and is not influenced by the level of training. However, further improvement is needed to reliably depict small variations in segmental myocardial strain.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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