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• W2165075680 abstract "Background To develop and assess an efficient method to identify end‐expiratory end‐diastolic (ED) and end‐systolic (ES) images for accurate quantification of left ventricular (LV) function in real‐time cine imaging. Methods ECG‐free free‐breathing real‐time cine imaging was performed on short‐axis slices of thirteen healthy volunteers at 3 Tesla. K‐means cluster segmentation was applied to delineate the endocardial contour, from which the LV centroid and cavity area were determined in each cine image. LV centroid displacement along the superior–inferior direction was filtered to extract respiratory motion in each slice. End‐expiratory ED and ES images were then identified and used for LV function quantification. Accuracy was evaluated with that measured from the slice‐matched standard ECG‐gated breathhold segmented cines using two‐tail paired Student's t‐tests, linear regression analyses and Bland‐Altman plots. Intra‐ and interobserver variability was calculated for each imaging technique. Results Qualitatively, end‐expiratory ED and ES images identified with the proposed method agreed with those determined by frame‐by‐frame visual inspection in 97.5% of cases ( P > 0.05). Quantitatively, good agreement of LV function indices between the real‐time cine and the standard segmented cine was observed with averaged differences of 0.1 ± 0.9 g for myocardium mass, −0.3 ± 1.0 mL for ED volume, 0.2 ± 1.2 mL for ES volume, −0.2 ± 1.3 mL for stroke volume, and −0.3 ± 0.8% for ejection fraction. Paired LV function values exhibited strong correlation (r ≥ 0.96) and no significant difference ( P > 0.05). The real‐time cine and the standard segmented cine showed similar intra‐ (1.2–3.3% and 1.1–2.8%, respectively) and interobserver variability (2.6–6.9% and 1.8–4.8%, respectively) with all P ‐values > 0.05. All the variability was comparable with published results. Conclusion Compared with the laborious frame‐by‐frame visual inspection, as conventionally adopted, the proposed method is efficient in analyzing real‐time cines for the accurate quantification of LV function without excessively manual interactions. J. Magn. Reson. Imaging 2015;42:972–980." @default.
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• W2165075680 date "2015-03-02" @default.
• W2165075680 modified "2023-10-16" @default.
• W2165075680 title "Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function" @default.
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• W2165075680 doi "https://doi.org/10.1002/jmri.24869" @default.
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