PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery. (arXiv:2109.04352v2 [eess.IV] UPDATED)

Web: http://arxiv.org/abs/2109.04352

Correctly capturing intraoperative brain shift in image-guided neurosurgical
procedures is a critical task for aligning preoperative data with
intraoperative geometry for ensuring accurate surgical navigation. While the
finite element method (FEM) is a proven technique to effectively approximate
soft tissue deformation through biomechanical formulations, their degree of
success boils down to a trade-off between accuracy and speed. To circumvent
this problem, the most recent works in this domain have proposed leveraging
data-driven models obtained by training various machine learning algorithms, …

arxiv graph image model network neural neural network physics