Deep learning network for integrated coil inhomogeneity correction and brain extraction of mixed MRI data.

ABSTRACT: Magnetic Resonance Imaging (MRI) has been widely used to acquire structural and functional information about the brain. In a group- or voxel-wise analysis, it is essential to correct the bias field of the radiofrequency coil and to extract the brain for accurate registration to the brain template. Although automatic methods have been developed, manual editing is still required, particularly for echo-planar imaging (EPI) due to its lower spatial resolution and larger geometric distortion. The needs of user interventions slow down data processing and lead to variable results between operators. Deep learning networks have been successfully used for automatic postprocessing. However, most networks are only designed for a specific processing and/or single image contrast (e.g., spin-echo or grad

SUBMITTER: Chuang KH 

PROVIDER: S-EPMC9123199 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature