Filling in the Gaps - Using Deep Learning Interpolation to Create 3D MRI Volumes from 2D Axial MRI Slices
Jarrel C. Y. Seah · 2020
Title: Filling in the Gaps - Using Deep Learning Interpolation to Create 3D MRI Volumes from 2D Axial MRI Slices Purpose: Many post-processing algorithms such as brain morphometry, volume rendering or Enhanced PVS Contrast (EPC) can only be performed on 3D datasets. Whilst volumetric 3D imaging is widely available, many clinical MRI protocols still include 2D sequences due to