Mary Bruno, MRI technologist on an advanced practice team at NYU Langone Health, talks about patient care, quality improvement, scientific research, and always learning.
Valentina Mazzoli, imaging scientist searching for biomarkers of muscle health, talks about what makes muscles special, the toll that time can take on them, and the wonder of her first encounter with MRI.
Marcelo Zibetti, imaging scientist at NYU Langone Health, talks about efficiency in MRI, the value of differing vantage points, and learning by thinking across disciplines.
Imaging researchers at NYU Langone Health are getting close to quantifying the dynamics of natural wrist motion, which are not well understood.
Ivan Kirov, scientist who uses magnetic resonance spectroscopy as a window into the brain, talks about MRS, being methodical, and why drawing clear conclusions can be so challenging.
Santiago Coelho, postdoctoral fellow who develops diffusion MRI methods for brain imaging, talks about modeling tissue properties, entering the field by chance, and what he proposes to do next.
Yiqiu “Artie” Shen, machine learning researcher who develops artificial intelligence systems for medical imaging, talks about AI’s ability to explain itself, guide discovery, and predict cancer risk.
RF coil engineers at NYU Langone Health needed an interface compatible with a new industry standard, so they built one. Now NYU Langone is shipping the devices to other advanced MRI labs.
PTOA is affecting more people earlier but medicine cannot predict who. The National Institute of Arthritis and Musculoskeletal and Skin Diseases is funding NYU Grossman School of Medicine to create an advance warning.
How a moonshot effort to build an open-source MRI scanner from scratch in less than a week played out, and what it means for imaging research at large.