Some fetal brain MRI super-resolution reconstruction tools developed on Mevislab: https://github.com/meribach/mevislabFetalMRI/releases/tag/v1.0 based on https://github.com/sebastientourbier/mialsuperresolutiontoolkit. The software presented on this page is for research purpose only. Copyright © 2017-2018 Medical Image Analysis Laboratory, University Hospital Center and University of Lausanne (UNIL-CHUV), Switzerland The software is distributed under a GNU General Public License v3.0 https://github.com/pdeman/mevislabFetalMRI/blob/master/LICENSE This software depends on the open-source image processing Insight ToolKit (ITK) https://github.com/InsightSoftwareConsortium/ITK library, and the Baby Brain Toolkit (BTK) https://github.com/rousseau/fbrain There is also a version of the software implemented on syngo.via Frontier https://www.healthcare.siemens.com/medical-imaging-it/advanced-visualization-solutions/syngo-via-frontier for easy use in clinical environment and integrated into the PACS system. Please contact Meritxell Bach Cuadra if you are interested by the syngo.via Frontier module. People using in part or fully this software should refer to: Pierre Deman, Sebastien Tourbier, Reto Meuli, & Meritxell Bach Cuadra. (2020, June 5). meribach/mevislabFetalMRI: MEVISLAB MIAL Super-Resolution Reconstruction of Fetal Brain MRI v1.0 (Version v1.0). Zenodo. http://doi.org/10.5281/zenodo.3878564 Tourbier S, Bresson X, Hagmann P, Thiran JP, Meuli R, Bach Cuadra M. An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization. Neuroimage. 2015;118:584‐597. doi:10.1016/j.neuroimage.2015.06.018

This work was also funded by the Hasler Foundation (https://haslerstiftung.ch, project 17029) and the Radiology Department of the Lausanne University Hospital, Switzerland.