Organ Deformation

Organ deformation modeling focuses on accurately representing and predicting the changes in organ shape and position during medical procedures or over time, primarily to improve the accuracy of image-guided interventions and treatment planning. Current research emphasizes the development of advanced registration algorithms, including deep learning models (e.g., graph neural networks, implicit neural representations) and biomechanical models, to handle complex deformations and achieve robust, real-time performance. These advancements are crucial for improving the precision of various medical applications, such as radiation therapy, surgery, and diagnostic imaging, by enabling more accurate alignment of pre- and intra-operative images.