Our latest paper on applying Deep Learning to solve QSM was published in Neuroimage: http://www.sciencedirect.com/science/article/pii/S1053811919302605 The pre-print is here: https://www.biorxiv.org/content/early/2018/03/07/278036
I was invited to present a tutorial about deepQSM during the 2019 OHBM educational session meeting in Rome. The tutorial recording is here and starts at 1:16:56: The interactive code is here: The slides:
Our latest paper using a convolutional neural network to remove the background field in QSM was published in Zeitschrift für Medizinische Physik: http://www.sciencedirect.com/science/article/pii/S0939388918301673 The preprint is here: https://www.biorxiv.org/content/10.1101/522151v1
Thanks to Tomas I submitted an abstract to the Linux conference Australia and I was very lucky that I was invited to present. This was my first Linux conference and it was a great experience – all talks I saw had a very high quality and I learned a lot Read more…
Our latest paper looking at different ways of combining phase for QSM is now published in MRM: http://doi.wiley.com/10.1002/mrm.26644
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…
Our latest paper was published in NMR in Biomedicine: http://doi.wiley.com/10.1002/nbm.3620
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…
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: GRE model View model online via tissuestack.org Download mnc (517 MB) Download nii (647 MB) Read more…
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 (registered to MP2RAGE model): View model in the browser via tissuestack.org Download mnc (423 MB) Read more…