| Title | Rapid and accurate left ventricular chamber quantification using a novel CMR segmentation algorithm: a clinical validation study. |
| Publication Type | Journal Article |
| Year of Publication | 2010 |
| Authors | Codella NCF, Cham MD, Wong R, Chu C, Min JK, Prince MR, Wang Y, Weinsaft JW |
| Journal | J Magn Reson Imaging |
| Volume | 31 |
| Issue | 4 |
| Pagination | 845-53 |
| Date Published | 2010 Apr |
| ISSN | 1522-2586 |
| Keywords | Adult, Aged, Algorithms, Automation, Female, Heart Ventricles, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Myocardium, Reproducibility of Results, Ventricular Function, Left |
| 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 CONCLUSION: Among a broad series of consecutive patients undergoing CMR, automated LVEF by LV-METRIC was within 1 point of MT with processing time reduced 14-fold. Stroke volume by LV-METRIC yielded improved agreement with an independent standard of phase contrast imaging. |
| DOI | 10.1002/jmri.22080 |
| Alternate Journal | J Magn Reson Imaging |
| PubMed ID | 20373428 |
Related Institute:
MRI Research Institute (MRIRI)