3 papers
cs.CV2024
Deep-Motion-Net: GNN-based volumetric organ shape reconstruction from single-view 2D projections
Isuru Wijesinghe, Michael Nix, Arezoo Zakeri +4
We propose Deep-Motion-Net: an end-to-end graph neural network (GNN) architecture that enables 3D (volumetric) organ shape reconstruction from a single in-treatment kV planar X-ray…
cs.CV2024
Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity
Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed +4
This paper investigates both biomechanical-constrained non-rigid medical image registrations and accurate identifications of material properties for soft tissues, using physics-inf…
eess.IV2023
Non-rigid Medical Image Registration using Physics-informed Neural Networks
Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed +4
Biomechanical modelling of soft tissue provides a non-data-driven method for constraining medical image registration, such that the estimated spatial transformation is considered b…