Ilias Giannakopoulos, postdoctoral fellow in MRI, talks about how electromagnetic waves interact with the body, why matrix compression matters, and where he finds inspiration.
A team of scientists is using a battery of imaging methods to visualize cells, tissues, and joints in a quest for early noninvasive imaging biomarkers of PTOA.
Radhika Tibrewala, graduate student in biomedical imaging, talks about the new fastMRI prostate dataset, deep learning in MRI, and how she started a PhD remotely in 2020.
Wafer-like materials studded with nanofabricated protrusions enable researchers to direct light and contemplate new optical devices.
Li Feng, developer of fast MRI techniques, talks about going beyond speed, his path to academia, and the rewards of persistence.
The Society for Cardiovascular Magnetic Resonance has bestowed its highest honor on Leon Axel, radiologist, scientist, and longtime developer of MRI methods to better understand the heart.
A multicompartment diffusion MRI analysis of football athletes adds to the body of evidence linking concussion and repeated head impacts to changes in the corpus callosum.
Patricia Johnson, who researches machine learning image reconstruction, talks about faster MRI, visual preferences, and diagnostic interchangeability.
Recent research shows that sodium MRI can predict cancer response to chemotherapy. The National Cancer Institute is funding NYU Grossman School of Medicine to develop and validate the method.
Anna Chen, PhD candidate in biomedical imaging, talks about what led her to research, why she’s working with MR spectroscopy, and how she’s learning about business.