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Related Experiment Video

Updated: Jun 14, 2026

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

Published on: May 24, 2021

Rapid and accurate left ventricular chamber quantification using a novel CMR segmentation algorithm: a clinical

Noel C F Codella¹, Matthew D Cham, Richard Wong

¹Department of Radiology, Weill Medical College of Cornell University, New York, New York 10021, USA.

Journal of Magnetic Resonance Imaging : JMRI

|April 8, 2010

Summary

This summary is machine-generated.

A novel automated left ventricle (LV) segmentation algorithm, LV-METRIC, accurately measures ejection fraction (LVEF) and stroke volume comparable to manual tracing. This automated method significantly reduces processing time for cardiac MRI analysis.

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Published on: July 20, 2022

Area of Science:

Cardiovascular Imaging
Medical Image Analysis
Computational Cardiology

Background:

Accurate quantification of left ventricular (LV) volumes and ejection fraction (LVEF) is crucial for diagnosing and managing cardiovascular diseases.
Manual tracing (MT) for LV segmentation in cardiac magnetic resonance imaging (CMR) is time-consuming and subject to inter-observer variability.
Automated segmentation algorithms aim to improve efficiency and reproducibility in CMR analysis.

Purpose of the Study:

To evaluate the clinical performance of a novel automated LV segmentation algorithm, LV-METRIC, in cine-CMR.
To compare the accuracy and efficiency of LV-METRIC against manual tracing (MT) for quantifying LV volumes and LVEF.
To assess the agreement of LV-METRIC-derived stroke volume with phase contrast imaging.

Main Methods:

LV-METRIC and MT were independently used to segment the LV in 151 consecutive patients undergoing cine-CMR.
LV volumes and LVEF were calculated for both methods.
Stroke volume was measured using phase contrast imaging as an independent reference standard.
Processing times for both LV-METRIC and MT were recorded and compared.

Main Results:

LV-METRIC demonstrated successful segmentation in all cases, with mean LVEF within 1 point of MT (Delta 0.6 +/- 2.3%).
LV volumes derived from LV-METRIC were slightly smaller than MT at end-diastole and end-systole.
Mean processing time for LV-METRIC (22 +/- 13 seconds) was significantly reduced (14-fold) compared to MT (4:59 +/- 1:56 minutes).
LV-METRIC showed improved agreement with stroke volume by phase contrast imaging (0.3 +/- 18.3 mL) compared to MT (2.5 +/- 17.2 mL).

Conclusions:

Automated LVEF measurement by LV-METRIC in CMR is clinically accurate, comparable to manual tracing.
LV-METRIC offers a significant reduction in processing time, enhancing workflow efficiency.
The LV-METRIC algorithm provides more accurate stroke volume assessment compared to manual tracing when validated against phase contrast imaging.