5 papers
Marker-free deformable registration and fusion for augmented reality-guided positive margin localization during tumor resection surgery
Yue Yang, Annie Benson, Matthieu Chabanas +7
Positive margins in head and neck oncologic surgery require mapping specimen-side pathology findings to the patient resection bed. This is challenging because pathologists identify…
Contour-Constrained Deformable Registration with Parameter Characterization for Head and Neck Surgical Guidance
Qingyun Yang, Jon S. Heiselman, Ayberk Acar +5
With 890,000 annual new cases globally, head and neck squamous cell carcinoma has one of the highest recurrence rates among solid malignancies. Although frozen section analysis is…
MeiBRD: Meta-Learning Intraoperative Biomechanical Residual Deformation
Casey Meisenzahl, Jon Heiselman, Michael Holtz +3
Accurate intraoperative liver registration is challenging due to substantial soft-tissue deformation yet sparse intraoperative measurements. Biomechanical models regularize this il…
SurgFormer: Scalable Learning of Organ Deformation with Resection Support and Real-Time Inference
Ashkan Shahbazi, Elaheh Akbari, Kyvia Pereira +7
We introduce SurgFormer, a multiresolution gated transformer for data driven soft tissue simulation on volumetric meshes. High fidelity biomechanical solvers are often too costly f…
Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection
Qingyun Yang, Fangjie Li, Jiayi Xu +8
Head and neck squamous cell carcinoma (HNSCC) has one of the highest rates of recurrence cases among solid malignancies. Recurrence rates can be reduced by improving positive margi…