Deformable Registration Framework for Augmented Reality-based Surgical Guidance in Head and Neck Tumor Resection

no code implementations • 11 Mar 2025 • Qingyun Yang, Fangjie Li, Jiayi Xu, Zixuan Liu, Sindhura Sridhar, Whitney Jin, Jennifer Du, Jon Heiselman, Michael Miga, Michael Topf, Jie Ying Wu

In tongue specimens, the proposed framework improved TRE by up to 33% as compared to prior deformable registration.

Anatomy

LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

no code implementations • 11 Mar 2024 • Dingrong Wang, Soheil Azadvar, Jon Heiselman, Xiajun Jiang, Michael Miga, Linwei Wang

The surgical environment imposes unique challenges to the intraoperative registration of organ shapes to their preoperatively-imaged geometry.

Deep Learning

Comparing Regularized Kelvinlet Functions and the Finite Element Method for Registration of Medical Images to Sparse Organ Data

no code implementations • 8 Jun 2023 • Morgan Ringel, Jon Heiselman, Winona Richey, Ingrid Meszoely, William Jarnagin, Michael Miga

Average target registration errors were 4. 6 +/- 1. 0 and 3. 2 +/- 0. 8 mm on the liver dataset and 5. 4 +/- 1. 4 and 6. 4 +/- 1. 5 mm on the breast dataset for the regularized Kelvinlets and finite element method models, respectively.

Decision Making