Functional MRI registration with tissue-specific patch-based functional correlation tensors.

ABSTRACT: Population studies of brain function with resting-state functional magnetic resonance imaging (rs-fMRI) rely on accurate intersubject registration of functional areas. This is typically achieved through registration using high-resolution structural images with more spatial details and better tissue contrast. However, accumulating evidence has suggested that such strategy cannot align functional regions well because functional areas are not necessarily consistent with anatomical structures. To alleviate this problem, a number of registration algorithms based directly on rs-fMRI data have been developed, most of which utilize functional connectivity (FC) features for registration. However, most of these methods usually extract functional features only from the thin and highly curved cortical

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC6176927 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature