filip-szczepankiewicz / Vis_NIMG_2021

Accuracy and precision in super-resolution MRI: Enabling spherical tensor diffusion encoding at ultra-high b-values and high resolution

Geraline Vis¹, Markus Nilsson¹, Carl-Fredrik Westin², Filip Szczepankiewicz^1,2

1 Department of Diagnostic Radiology, Clinical Sciences Lund, Lund University, Lund, Sweden

2 Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States

Content

This repository contains a framework for super-resolution reconstruction, i.e. reconstructing a high-resolution image from multiple low-resolution images. Examples are given for a numerical Shepp-logan phantom and phantom data acquired on a Siemens Prisma 3T.

Dependencies

The following Matlab tools are required to run the SRR framework:

• https://github.com/markus-nilsson/md-dmri.git
• https://github.com/xiangruili/dicm2nii.git

Reference

If you use the resources of this repository, please include a reference to:
G Vis, M Nilsson, C-F Westin, F Szczepankiewicz. Accuracy and precision in super-resolution MRI: Enabling spherical tensor diffusion encoding at ultra-high b-values and high resolution (2021), DOI: https://doi.org/10.1016/j.neuroimage.2021.118673