Accurate Reconstruction of Lumbar Spine Geometry from MRI Using Attention-based Shape Deformation Networks

The authors present two novel deep learning models, UNet-DeformSA and TransDeformer, that can accurately reconstruct the geometry of the lumbar spine from MRI images by deforming a mesh template. The models utilize new attention mechanisms to enable artifact-free geometry outputs.