Ultra-high Field – mri.sbollmann.net

Imaging of the pial arterial vasculature of the human brain in vivo using high-resolution 7T time-of-flight angiography

Our latest work is out in eLife: https://elifesciences.org/articles/71186 We show how small pial arteries can be targeted effectively with high-resolution in vivo MR imaging. The data is openly available (https://doi.org/10.17605/OSF.IO/NR6GC) and may be used for building models of brain physiology. The pial arterial vasculature of the human brain is the Read more…

By Saskia Bollmann, 2 yearsJune 16, 2022 ago

Data management

TOMCAT dataset on Oracle Open Data

Oracle Cloud recently launched a platform to host scientific datasets and we uploaded our unique Hippocampus dataset (Towards Optimising MRI Characterisation of Tissue (TOMCAT) Dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) data – ScienceDirect): https://opendata.oraclecloud.com/ords/r/opendata/opendata/details?data_set_id=28&bucket_name=TOMCAT&prefix=&clear=RR&session=610618357889967&cs=1o7GdDLNfm3PHWwxI2thFXrA8jHPcvjZCdFibkYYIPPofNfOuvVt8B6S0B7YTnzIOf6cDk9BXW5hSV9b8LmhoQA More background can be found in this blogpost: Oracle Open Data platform Read more…

By Steffen, 3 yearsApril 25, 2022 ago

Functional Imaging

Higher, faster, smaller: Pushing the limits of fMRI at ultra-high field

Today I had the pleasure of presenting in the fortnightly Melbourne Brain Centre Imaging Unit (MBCIU) seminar at the University of Melbourne. I took the opportunity to share some thoughts and insights about fast and high-resolution fMRI at 7T. This presentation covers some of the most prevalent sequences (SMS, 3D-EPI), Read more…

By Saskia Bollmann, 3 yearsAugust 27, 2021 ago

Deep Learning

ML4AU – Showcase event ML/AI in Imaging

I recently had the wonderful opportunity to present our deep learning work in magnetic resonance imaging at the ML4AU CoP showcase event to more than 65 participants. I showed one example on efficiently solving an ill-posed inverse problem for quantitative susceptibility mapping that was trained with purely synthetic data describing Read more…

By Steffen, 3 yearsAugust 4, 2021 ago

Data management

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…

By Steffen, 4 yearsApril 30, 2021 ago

Conferences

ISMRM 2020: Imaging of the pial arterial vasculature

For this year’s ISMRM, I’ve investigated how we can image the pial arterial vasculature using a time-of flight contrast. Surprisingly, we found that we are not limited by physiological parameters, but ‘simply’ by the voxel size. All the gory details can be found in the video below. Note that this Read more…

By Saskia Bollmann, 4 yearsJuly 17, 2020 ago

Magnetic Resonance Angiography

A 7-minute introduction to magnetic resonance angiography (MRA)

Vascularisation of the human brain obtained with magnetic resonance angiography at 160µm isotropic resolution at 7 Tesla. During the Science-on-Tap meeting at the Martinos Center, MGH, I gave a brief introduction into the fundamental principles of magnetic resonance angiography, and how we can use it to map the pial arterial Read more…

By Saskia Bollmann, 5 yearsDecember 15, 2019 ago

Publications

The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high field: Bias-Free Coil Combination for QSM at Ultra-High Field

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

By Steffen, 7 yearsJanuary 9, 2018 ago

Code

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…

By Steffen, 7 yearsJune 19, 2017 ago