A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance
ConclusionThe proposed method is a step toward online patient-specific C-arm CBCT source trajectories that enable high-quality tomographic imaging in the operating room. Since the optimization objective is implicitly encoded in a neural network trained on large amounts of well-annotated projection images, the proposed approach overcomes the need for 3D information at run-time.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research
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