Table 1.
Comparative performance of segmentation accuracy of cine MRI using four methods and two metrics (DM and HD)
| Myocardium | LV blood pool | RV | |
|---|---|---|---|
| Dice metric (%) | |||
| GC | 84.2 ± 1.2 | 85.1 ± 0.9 | 84.7 ± 1.1 |
| GCSP | 91.6 ± 0.9 | 91.7 ± 1.1 | 92.2 ± 1.2 |
| GCSPwVs | 90.1 ± 1.0 | 89.3 ± 1.3 | 88.2 ± 1.1 |
| Met1 | 89.8 ± 1.3 | 88.5 ± 0.7 | 88.0 ± 1.1 |
| Hausdorff distance (pixel) | |||
| GC | 4.2 ± 0.9 | 3.3 ± 0.5 | 3.5 ± 0.6 (5.7) |
| GCSP | 1.9 ± 0.3 | 1.8 ± 0.4 | 2.0 ± 0.3 (1.2) |
| GCSPwVs | 2.4 ± 0.4 | 2.3 ± 0.3 | 2.8 ± 0.3 (1.6) |
| Met1 | 2.5 ± 0.3 | 2.2 ± 0.3 | 2.4 ± 0.3 (1.8) |
The values show the average measures over all datasets. Values indicate the mean and standard deviation. Entries enclosed in parentheses indicate maximum HD values
DM dice metric, HD Hausdorff distance, LV left ventricle, RV right ventricle, GC graph cut with intensity only, GCSP our method using graph cuts and shape priors, GCSPwVS GCSP without VS, Met1 method in Chittajallu et al. [46]