MRM Highlights feature

We were very fortunate to be highlighted in MRM for our paper “Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning B1+ estimation” and the reproducible research habits in our group 🙂 The interview covering the contents of the paper can be found Read more…

Non-linear Realignment Using Minimum Deformation Averaging for Single-subject fMRI at Ultra-high Field

Motion dominates the contribution to variance in fMRI time series and it is therefore important to account for this variability correctly. Currently, most correction schemes use a rigid body realignment procedure, but interactions with magnetic field inhomogeneities and physiological fluctuations lead to non-linear deformations. Non-linear realignment increased spatial resolution by Read more…

Ultrashort echo time imaging using pointwise encoding time reduction with radial acquisition (PETRA) average 7T model

For the ISMRM 2016 we build a minimum deformation average (MDA) from a population of subjects based upon high resolution 7T MR imaging. View online and download the model in MINC or NiFTI format here: View model online via tissuestack.org Download mnc (171 MB) Download nii (195 MB) code: https://github.com/CAISR/volgenmodel-nipype Read more…