@article {1328, title = {Super-Resolution for Multislice Diffusion Tensor Imaging}, journal = {Magnetic Resonance in Medicine}, volume = {69}, year = {2013}, pages = {103{\textendash}113}, abstract = {Diffusion weighted (DW) magnetic resonance images are often recorded with single shot multislice imaging sequences, because of their short scanning times and robustness to motion. To minimize noise and acquisition time, images are generally acquired with either anisotropic or isotropic low resolution voxels, which impedes subsequent posterior image processing and visualization. In this paper, we propose a super-resolution method for diffusion weighted imaging that combines anisotropic multislice images to enhance the spatial resolution of diffusion tensor (DT) data. Each DW image is reconstructed from a set of arbitrarily oriented images with a low through-plane resolution. The quality of the reconstructed DW images was evaluated by DT metrics and tractography. Experiments with simulated data, a hardware DTI phantom, as well as in vivo human brain data were conducted. Our results show a significant increase in spatial resolution of the DT data while preserving high signal to noise ratio.}, doi = {10.1002/mrm.24233}, author = {Dirk H J Poot and Ben Jeurissen and Yannick Bastiaensen and Jelle Veraart and Wim Van Hecke and Paul M Parizel and Jan Sijbers} }