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Primer to low-field MRI is packed! Great to see so many people interested in this awesome technology! #ISMRM23 #ISMRM2023

I’m excited to present our poster on RF stop-motion imaging (at low-field MRI) abstract #1761 today at 9:15 am! Come check it out :) #ISMRM #ISMRM2023

We have completely reimagined MRI! Check out our latest work in #PLOSONE on how field-cycling technology and gradient-free RF encoding can be used to image at low-field, making MRI patient friendly and highly accessible. dx.plos.org/10.1371/journa… もえち🧸 Todd Constable (find me here @toddc.bsky.social)

Such an amazing experience to be a part of the Magnet Team at #mri4all hackathon last week. It still seems unbelievable that 50 researchers managed to assemble an MRI system in less than 7 days. This is definitely a proof for the synergistic power of team work 🤜🤛NYU Langone Health

Who's got MR technical skills - come join us - lots of positions - lots of roles! Get on it!

Going to ISMRM in Singapore? Come see some of our work! #ISMRM #Singapore ISMRM

First time presenting ISMRM ! Thanks everyone for the attention and inspiring feedback on my work on EMI removal ☺️🇸🇬! #ISMRM24 #ISMRM

Very pleased to announce I just received notice of an ARPA-H grant award entitled "Improving women’s healthcare through development of affordable breast MRI". Very excited to work on this project that could have major impact on women's health @arpa_h Thanks for the support!

Nice review paper here by the gang on low-field MRI. annualreviews.org/content/journa… Anja Samardzija Kartiga Selvaganesan Horace Zhang Heng Sun Chenhao Sun Gigi Galiana Yale Department of Radiology & Biomedical Imaging Yale School of Medicine

New Yale Department of Radiology & Biomedical Imaging low-field MRI review! 🧲 Great summary of hardware/software advances behind today's innovative scanner designs & applications. 📰: doi.org/10.1146/annure… 👏 Anja Samardzija Kartiga Selvaganesan Horace Zhang Heng Sun Chenhao Sun Gigi Galiana Todd Constable (find me here @toddc.bsky.social)

Any trainees out there looking for a discussion on different career paths available? Come get advice from this panel at #Whistlerbrain! Lots of options...medicine.yale.edu/mrrc/about/sem…

Using the cognitive construct networks for example, one can rank order tests by how much a particular network contributes to performance.

This provides a biologically based approach for evaluating existing tests - such as the standardized tests that have been around for more than 60 years. And it provide a brain-based metric for developing better tests that interrogate specific systems.

We show that composite scores yield better brain-behavior models (using the same fMRI data) if their subscores all rely on the same proportional networks - but yield degraded models if the subscores tap different systems - Suggesting a framework for forming improved composites.

This approach also provides a brain-based method for combining scores from different tests to better interrogate specific networks of interest. The approach is general in the sense that any networks of interest can be predefined and used for analyses.

A cool aspect of this in developing new external test measures, is that once you have a cohort of subjects with imaging data, the imaging doesn't need to be repeated - different tests can be developed and modeled using the same subjects and their original imaging data.

Thanks to the team! Dustin Scheinost Wendy Luo Abigail Greene Saloni Mehta @ScottWoods01 and others! Yale-MRRC-Neuroscience

Check out our latest work in developing a method to evaluate external measures based on predefined networks 🚨🚨

Now that those #ohbm abstracts are done - think about submitting to this connectivity workshop. Stellar lineup of speakers is set! Register (and submit abstracts) here - medicine.yale.edu/mrrc/about/s... Abstract deadline is Jan 10, 2025. Yale-MRRC-Neuroscience