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...
| Published in: | Journal of Cardiovascular Magnetic Resonance (Elsevier B.V. ) Vol. 19; pp. 1 - 14 |
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| Main Authors: | , , , , , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Elsevier B.V.
2/17/2017
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121335269&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121335269 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1532429X 86WS jtl: Journal of Cardiovascular Magnetic Resonance (Elsevier B.V. ) issn: 1532429X maglogo: N pubinfo: dt: 2/17/2017 vid: 19 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 121335269 121335269 121335269 10.1186/s12968-017-0333-y 121335269 ppf: 1 ppct: 13 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
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