Related Experiment Video
Updated: Mar 31, 2026
Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
Published on: May 24, 2021
Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets
Sandro Queirós1, Daniel Barbosa2, Jan Engvall3
1Lab on Cardiovascular Imaging and Dynamics, KU Leuven, Leuven, Belgium ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães Portugal Algoritmi Center, School of Engineering, University of Minho, Guimarães, Portugal sandroqueiros@ecsaude.uminho.pt.
A new automated framework accurately quantifies left ventricular function from cardiac MRI (CMR) images. This method is significantly faster than manual analysis, improving efficiency in clinical cardiology.
Area of Science:
- Cardiovascular Imaging
- Medical Image Analysis
- Computational Cardiology
Background:
- Quantitative analysis of cine cardiac magnetic resonance (CMR) images for left ventricular morphology and function is standard in cardiology.
- Current manual analysis is time-consuming and prone to observer variability.
Purpose of the Study:
- To validate a novel framework for automatic quantification of left ventricular global function in a clinical setting.
- To assess the feasibility, accuracy, and time efficiency of this automated approach.
Main Methods:
- Automated analysis of 318 cine CMR studies from the DOPPLER-CIP trial.
- Comparison of automated results with manual measurements and intra-/inter-observer variability.
- Evaluation of time efficiency for automated versus manual contouring.
Main Results:
- The automated analysis was feasible in 95% of cases (302/318).
- Good agreement was observed between automated and manual measurements for key parameters like end-diastolic volume, end-systolic volume, and ejection fraction.
- Automated analysis was approximately 150 times faster than manual contouring (5.61s vs. 14 min).
Conclusions:
- The proposed automatic framework offers a fast, robust, and accurate method for quantifying left ventricular indices.
- This automated approach is suitable for 'real-world' cine CMR images in clinical practice.
