Progressive 3D biomedical image registration network based on deep self-calibration.

ABSTRACT: Three dimensional deformable image registration (DIR) is a key enabling technique in building digital neuronal atlases of the brain, which can model the local non-linear deformation between a pair of biomedical images and align the anatomical structures of different samples into one spatial coordinate system. And thus, the DIR is always conducted following a preprocessing of global linear registration to remove the large global deformations. However, imperfect preprocessing may leave some large non-linear deformations that cannot be handled well by existing DIR methods. The recently proposed cascaded registration network gives a primary solution to deal with such large non-linear deformations, but still suffers from loss of image details caused by continuous interpolation (information loss

SUBMITTER: Sun R 

PROVIDER: S-EPMC9532554 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature