Tissue Deformation

Tissue deformation research focuses on understanding and modeling how soft tissues change shape under various forces, with key objectives including accurate tracking of these deformations and their incorporation into medical procedures and imaging analysis. Current research employs diverse approaches, such as differentiable physics models integrated with visual servoing, Cherenkov imaging for radiotherapy positioning verification, and neural networks for Bayesian inverse problems and real-time 3D reconstruction in surgical settings. These advancements have significant implications for improving the precision and safety of surgical procedures, particularly robotic surgery, and enhancing the accuracy of medical imaging techniques like radiotherapy and elastography.