5 papers
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories
Jan-Nico Zaech, Cong Gao, Bastian Bier +4
Metal artifacts in computed tomography (CT) arise from a mismatch between physics of image formation and idealized assumptions during tomographic reconstruction. These artifacts ar…
Exploiting Partial Structural Symmetry For Patient-Specific Image Augmentation in Trauma Interventions
Javad Fotouhi, Mathias Unberath, Giacomo Taylor +7
In unilateral pelvic fracture reductions, surgeons attempt to reconstruct the bone fragments such that bilateral symmetry in the bony anatomy is restored. We propose to exploit thi…
Closing the Calibration Loop: An Inside-out-tracking Paradigm for Augmented Reality in Orthopedic Surgery
Jonas Hajek, Mathias Unberath, Javad Fotouhi +6
In percutaneous orthopedic interventions the surgeon attempts to reduce and fixate fractures in bony structures. The complexity of these interventions arises when the surgeon perfo…
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
Bastian Bier, Mathias Unberath, Jan-Nico Zaech +5
X-ray image guidance enables percutaneous alternatives to complex procedures. Unfortunately, the indirect view onto the anatomy in addition to projective simplification substantial…
DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided Procedures
Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee +4
Machine learning-based approaches outperform competing methods in most disciplines relevant to diagnostic radiology. Interventional radiology, however, has not yet benefited substa…