Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration.

ABSTRACT: In this paper, we present a deep learning method, DDMReg, for accurate registration between diffusion MRI (dMRI) datasets. In dMRI registration, the goal is to spatially align brain anatomical structures while ensuring that local fiber orientations remain consistent with the underlying white matter fiber tract anatomy. DDMReg is a novel method that uses joint whole-brain and tract-specific information for dMRI registration. Based on the successful VoxelMorph framework for image registration, we propose a novel registration architecture that leverages not only whole brain information but also tract-specific fiber orientation information. DDMReg is an unsupervised method for deformable registration between pairs of dMRI datasets: it does not require nonlinearly pre-registered training data o

SUBMITTER: Zhang F 

PROVIDER: S-EPMC9273049 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature