Tissue Motion

Tissue motion analysis focuses on accurately measuring and modeling the deformation of soft tissues, crucial for various medical applications. Current research emphasizes developing robust methods for estimating non-rigid tissue movement using deep learning architectures, often incorporating physics-based regularization or data-driven approaches to improve accuracy and generalization. These advancements are improving medical image registration, enabling more precise surgical planning and execution, and facilitating the development of novel diagnostic tools for assessing tissue health and function through techniques like elastography. The ultimate goal is to improve the accuracy and efficiency of medical procedures and diagnostics.