Super Slice Interpolation (SSI) from Parallel MRI Data

Abstract

This work develops a novel super slice interpolation (SSI) method that exploits sensitivity variation along the slice direction to decrease slice thickness in multi-slice MRI. The phantom and in vivo head imaging results demonstrate that SSI successfully generates thinner slice images from a set of thick images acquired with multiple receiver coils, without the need of modifying pulse sequences. The proposed SSI method has potential to obtain more slices with decreased thickness in scenarios where acquisition window or speciတတc absorption rate limits the available number of slices.