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Updated: Jan 3, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
Published on: February 12, 2011
Towards standardized postprocessing of global longitudinal strain by feature tracking - OptiStrain CMR-FT study
Robert Heinke1, Faraz Pathan1,2, Melanie Le1
1Institute of Experimental and Translational Cardiac Imaging DZHK Centre for Cardiovascular Imaging Goethe University Hospital Frankfurt, Theodor-Stern Kai 7, 60590, Frankfurt am Main, Germany.
Standardizing cardiovascular magnetic resonance (CMR) measurements of left ventricular global longitudinal strain (GLS) improves observer agreement and reduces variability. This essential step enhances reliable myocardial deformation quantification for clinical use.
Area of Science:
- Cardiology
- Medical Imaging
- Biomarkers
Background:
- Left ventricular global longitudinal strain (GLS) measured by cardiovascular magnetic resonance (CMR) is a key prognostic biomarker.
- Clinical adoption of GLS is hindered by diverse methodologies and postprocessing variability among users and vendors.
- Standardization of postprocessing can mitigate operator-dependent variability, enabling measurement comparability.
Purpose of the Study:
- To investigate and reduce the random variability in GLS measurements through optimized postprocessing steps.
- To enhance observer reproducibility and agreement in GLS quantification.
- To establish a standardized postprocessing approach for CMR-derived GLS.
Main Methods:
- Two independent observers analyzed cine images (2, 3, and 4-chamber views) using two different CMR feature-tracking (FT) software.
- Stepwise adjustments were systematically applied to optimize postprocessing, assessing their impact on inter-observer and inter-vendor bias.
- Variability was evaluated using Bland-Altman analyses, intra-class correlation coefficients (ICCs), and coefficients of variation (CVs) in 44 subjects.
Main Results:
- Standardization significantly improved GLS measurement consistency, accentuating differences between patient groups and controls.
- Post-standardization, intra-observer variability CVs decreased from 7.6% and 4.6% to 3.1% and 4.3%.
- Inter-observer variability CVs improved from 11% and 4.7% to 5.2% and 4.4% across vendors, with enhanced ICC agreement.
Conclusions:
- Standardization effectively reduces random variability in GLS measurements stemming from observer and inter-vendor inconsistencies.
- While standardization addresses random error, systematic inter-vendor bias related to image processing algorithms persists.
- Implementing standardized GLS measurements is crucial for reliable myocardial deformation quantification and routine clinical use of CMR-FT.
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