TL;DR: Brain morphometry at 64mT (= 0.064T) is very much feasible. Perhaps most interesting is the fact that the dataset -> ~ T1w & T2w scans x (4 resolutions x 2 Hyperfine Swoop 64 mT scanners + GE 3T scanner) x 23 adult participants = 390 scans -> is openly available: openneuro.org/datasets/ds0...

Finally, work by collaborators; ULF-HF correspondence at the FreeSurfer vertex level, by Charlotte Pretzsch et al: www.nature.com/articles/s42... | And recent brain-chart work feat. ULF MRI (SI Fig. S36) by Lena Dorfschmidt @aarona-b.bsky.social et al: doi.org/10.1101/2025... Watch this space! [5/5]

More recent by Levi: Generalised-Hilbert Mamba for Super-resolution (GAMBAS), still for paediatric ultra-low-field MRI: arxiv.org/abs/2504.04523 | The updated multi-input GAMBAS+ recently won 1st place at the MICCAI ULF Enhancement Challenge: www.synapse.org/Synapse:syn6... (paper online soon) [4/n]

Early work by PhD student Levi Baljer on super-resolution of paediatric ultra-low-field MRI using a 3D UNet: doi.org/10.1002/hbm...., and related work (without paired high-field scans) by BSc student Ula Briski: doi.org/10.1101/2024... [3/n]

Ultra-low-field brain MRI morphometry: T-RT reliability and correspondence to high-field MRI | doi.org/10.1162/IMAG... | w/ !! FREE DATA !! T1w & T2w scans of 23 healthy participants from 3T GE Premier & 2x 64mT Hyperfine Swoop in many resolutions, i.e. 390 scans! openneuro.org/datasets/ds0... [1/n]

Brain Connectivity Workshop recordings (& schedule) are online – including short talks and extensive discussions, focused on connectomics and mental health. | It was a stimulating meeting, and Wellcome were a wonderful co-organiser and host! | Enjoy: www.wellcomeevents.org/wellcome/fro...