Research Article
An Unsupervised Deep Learning Framework for Retrospective Gating of Catheter-Based Cardiac Imaging
Table 2
Measurements of vessel volume in cubic millimeter (mm3) obtained by IBG-Net and baseline methods.
| Image seq. | Seq. length (frames) | ECG-gated | IBG-Net | AP | IBG |
| IVUS | I | 600 | 246.962 | 251.842 | 239.764 | 260.568 | II | 600 | 258.365 | 254.567 | 265.412 | 272.482 | III | 600 | 289.227 | 284.759 | 282.116 | 269.996 | IV | 300 | 101.736 | 96.473 | 92.848 | 115.562 | V | 300 | 131.880 | 125.664 | 122.454 | 142.766 | VI | 300 | 124.436 | 128.564 | 118.775 | 142.968 | IVOCT | I | 1,200 | 512.068 | 517.112 | 519.654 | 498.308 | II | 1,200 | 536.794 | 532.722 | 543.615 | 551.779 | III | 1,200 | 528.982 | 533.226 | 538.046 | 549.751 |
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