Table 2. Overview of deep iterative registration studies.
Study | Learning | Transform | Modality | ROI | Public dataset for training/validation | Evaluation metrics |
---|---|---|---|---|---|---|
(76) | Metric | Deformable | MRI-MRI | Brain | LONI LPBA40 | DSC |
(77) | Metric | Deformable | MRI-MRI | Brain | IXI, ALBERTs | DSC |
(78) | Metric | Deformable | MRI-MRI | Brain | IXI | FRE, DSC |
(79) | Metric | Rigid | MRI-US | Prostate | PROMISE12, Prostate-3T | TRE |
(80) | Metric | Deformable | MRI-MRI | Brain | OASIS, ABIDE | DSC |
(81) | Metric | Rigid & Deformable | MRI-MRI | Brain | Simulated brain | DSC |
(82) | Metric | Deformable | MRI-MRI | Brain | LPBA40, CUMC12, MGH10, IBSR18 | DSC, Jaco. Det. |
(83) | RL agent | Rigid | CT-CBCT | Spine and heart | N/A | TRE |
(84) | RL agent | Deformable | CT-CT | Thorax, abdomen, and pelvis | N/A | Euclidean distance |
(85) | RL agent | Deformable | MRI-MRI | Prostate | PROMISE12, Prostate-3T | DSC, HD |
(86) | RL agent | Affine | MR-CT | Brain | N/A | TRE |
CBCT, cone-beam computed tomography; CT, computed tomography; DSC, Dice coefficient; FRE, fiducial registration error; HD, Hausdorff distance; MRI, magnetic resonance imaging; RL, reinforcement learning; ROI, region of interest; TRE, target registration error.