Home › Cell Biology › Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
Cell Biology JoVE (Open Access) Citable · DOI

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

DOI: 10.3791/2356-v
What you'll learn
  • ✓ Perform feature-tracking strain analysis on cardiac MRI images
  • ✓ Import, segment, and validate myocardial tissue data for analysis
  • ✓ Interpret strain parameters as markers of cardiac contractile function
  • ✓ Validate measurement techniques using phantom controls
Protocol

An accurate and practical method to measure parameters like strain in myocardial tissue is of great clinical value, since it has been shown, that strain is a more sensitive and earlier marker for contractile dysfunction than the frequently used parameter EF.

Difficulty
advanced
Total time
~30–60 min per patient dataset (image acquisition ~15 min; analysis ~15–45 min depending on data complexity)

Steps

1
Acquire cardiac MRI images with appropriate protocols

Obtain high-quality cardiac magnetic resonance images suitable for strain analysis. This step establishes baseline imaging data from which tissue tracking will be performed.

▶ 01:40
2
Import and select relevant imaging datasets

Load acquired MRI data into the analysis software and select appropriate image series for myocardial segmentation and feature tracking.

▶ 01:40
3
Perform segmentation and strain data analysis

Segment myocardial tissue regions and apply feature-tracking algorithms to quantify strain parameters across the cardiac cycle.

▶ 02:56
4
Validate technique accuracy using phantom controls

Test the measurement methodology against known phantom standards to confirm reproducibility and reliability of strain quantification.

▶ 04:39
5
Interpret clinical cases and compare results

Apply the validated strain assessment method to clinical patient data and evaluate findings in the context of cardiac function and contractile dysfunction.

▶ 05:52
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