FOD-Swin-Net: angular super resolution of fiber orientation distribution using a transformer-based deep model

arXiv:2402.11775v1 Announce Type: cross
Abstract: Identifying and characterizing brain fiber bundles can help to understand many diseases and conditions. An important step in this process is the estimation of fiber orientations using Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI). However, obtaining robust orientation estimates demands high-resolution data, leading to lengthy acquisitions that are not always clinically available. In this work, we explore the use of automated angular super resolution from faster acquisitions to overcome this challenge. Using the publicly available Human Connectome …

angular arxiv cs.cv cs.lg distribution eess.iv q-bio.nc super resolution swin transformer type