Rapid and accurate left ventricular chamber quantification using a novel CMR segmentation algorithm: a clinical validation study. Academic Article uri icon

Overview

abstract

  • PURPOSE: To evaluate the clinical performance of a novel automated left ventricle (LV) segmentation algorithm (LV-METRIC) that involves no geometric assumptions. MATERIALS AND METHODS: LV-METRIC and manual tracing (MT) were used independently to quantify LV volumes and LVEF (ejection fraction) for 151 consecutive patients who underwent cine-CMR (steady-state free precession). Phase contrast imaging was used to independently measure stroke volume. RESULTS: LV-METRIC was successful in all cases. Mean LVEF was within 1 point of MT (Delta 0.6 +/- 2.3%, P < 0.05), with smaller differences among patients with (0.5 +/- 2.5%) versus those without (0.9 +/- 2.3%; P = 0.01) advanced systolic dysfunction (LVEF

publication date

  • April 1, 2010

Research

keywords

  • Heart Ventricles
  • Magnetic Resonance Imaging
  • Myocardium
  • Ventricular Function, Left

Identity

Scopus Document Identifier

  • 77950869977

Digital Object Identifier (DOI)

  • 10.1002/jmri.22080

PubMed ID

  • 20373428

Additional Document Info

volume

  • 31

issue

  • 4