Large deformation diffeomorphic registration of diffusion-weighted imaging data
We present a non-rigid diffeomorphic registration method for diffusion-weighted imaging (DWI) data under large deformation. This is achieved by incorporating a DWI data reorientation technique into an LDDMM algorithm. This is the first work for direct DWI registration by simultaneously optimizing structural alignment and fiber orientation. Our method outperforms two state-of-the-art techniques in terms of white matter matching accuracy on a set of in vivo data.
diffeomorphism diffusion-weighted imaging image registration signal profile reorientation explicit orientation optimization