Research Article
An Unsupervised Deep Learning Framework for Retrospective Gating of Catheter-Based Cardiac Imaging
Table 1
Evaluation metrics for IBG-Net gating results.
| Image seq. | Seq. length (frames) | GFND | AIFD | SD | Nongated | Gated | Nongated | Gated |
| IVUS | I | 600 | 0 | 0.8711 | 0.5315 | 3.5396 | 1.4872 | II | 600 | 0 | 0.8958 | 0.6834 | 5.4994 | 2.9542 | III | 600 | 0 | 0.8881 | 0.7001 | 3.6035 | 1.5305 | IV | 300 | 1 | 0.7503 | 0.3463 | 3.8102 | 1.5691 | V | 300 | 0 | 0.8276 | 0.4669 | 5.7188 | 2.7946 | VI | 300 | 1 | 0.8022 | 0.5945 | 3.7991 | 1.6564 | IVOCT | I | 1,200 | 1 | 0.7442 | 0.5048 | 5.7946 | 4.6842 | II | 1,200 | 1 | 0.7256 | 0.4951 | 5.3243 | 4.2753 | III | 1,200 | 0 | 0.7935 | 0.5305 | 5.9846 | 4.8246 |
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