NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration. (arXiv:2108.03443v5 [cs.CV] UPDATED)

Deformable image registration (DIR), aiming to find spatial correspondence
between images, is one of the most critical problems in the domain of medical
image analysis. In this paper, we present a novel, generic, and accurate
diffeomorphic image registration framework that utilizes neural ordinary
differential equations (NODEs). We model each voxel as a moving particle and
consider the set of all voxels in a 3D image as a high-dimensional dynamical
system whose trajectory determines the targeted deformation field. Our method
leverages …

arxiv cv equation framework image optimization ordinary registration