No gradients, no problem! Check out our most recent publication in Scientific Reports on designing efficient nonlinear RF encoding schemes for gradient-free MR imaging at low-field. Todd Constable (find me here @toddc.bsky.social) もえち🧸 disq.us/t/4mjkfv5

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

Some nice work by Gigi Galiana and Horace Zhang onlinelibrary.wiley.com/doi/10.1002/mr…

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

Todd Constable (find me here @toddc.bsky.social) And don't forget Yale BME student Jie Xiang's talk on improved quantification of flow at 0.55T!! A Yale-NIH collaboration. Monday in the New Horizons in cardiac MRI session! ISMRM, #ISMRM24

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

Forever grateful to my amazing mentors Todd Constable (find me here @toddc.bsky.social) and もえち🧸 for their endless support, and for launching me into the extremely exciting and innovative space of low-field MRI! #YaleBME #Classof2024

Very honored to receive this support for our work. Excited to make this happen! Gigi Galiana Yale Department of Radiology & Biomedical Imaging #breastmri

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

bSSFP Phase Contrast (PC-SSFP) at 0.55 T Applied to Aortic Flow sciencedirect.com/science/articl… Just published in JCMR! A great approach to flow MRI at low and mid fields, by Jie Xiang working with the NIH group. Todd Constable (find me here @toddc.bsky.social) Adrienne Campbell Society for Cardiovascular Magnetic Resonance @ismrm

New work from Anja Samardzija and team. Instead of using CPM to identify networks, networks are predefined and used to evaluate external measures. This allows standardized tests (or any measure) to be evaluate in terms of the networks they rely upon. biorxiv.org/content/10.110…