How can we apply lessons learned from adaptation for CFD and Nuclear femptography to meshing for medical images ? In particular, in the case of non rigid registration for medical images one could re-use the ideas of error-based metric construction in order to create metric than can reduce the registration error.

  1. F. Drakopoulos, C. Tsolakis, A. Angelopoulos, Y. Liu, C. Yao, K. R. Kavazidi, N. Foroglou, A. Fedorov, S. Frisken, R. Kikinis, A. Golby, and N. Chrisochoides, “Adaptive Physics-based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems,” Frontiers in Digital Health, vol. 2, p. 66, 2020.