The Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital announces a milestone transition in its leadership: Bruce Rosen, MD, PhD, is stepping down as director after decades of transformative service both to… Martinos Center for Biomedical Imaging Announces Leadership Transition
Martinos researchers turned out in force at the ISMRM meeting this month in Cape Town, South Africa. With more than 100 abstracts presented by faculty, trainees, staff, and collaborators, they showcased the full span of… Notes from Cape Town: Martinos at ISMRM 2026
If portrayals of scientists on TV and in the movies are anything to go by, “pure intellect” is the single most important trait — if not the only important trait — you’ll need if you want to… The Deliberate Researcher: Developing the skills that make a good scientist
Name: Giorgio Bonmassar, PhD Day job: I am a faculty investigator at the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital and an associate professor of Radiology at Harvard Medical School. I… Out of Office: Meet the scientist who dives deep into underwater photography
A new generation of “low-field” MRI systems is transforming the field of medical imaging. Relatively inexpensive, portable and unhampered by special power requirements, they promise greater accessibility to MRI in underserved areas and allow point-of-care… Rewriting the Rules of Imaging: The promise of AI-powered low-field MRI
The next-generation MRI acquisition technique overcomes major limitations of conventional methods.
“When I first heard the terms ‘portable’ and ‘MRI’ together, I did a double take,” said W. Taylor Kimberly, MD, PhD, chief of the Division of Neurocritical Care and a stroke and critical care neurologist in the Department of… Portable MRI Supports More Efficient Diagnosis and Monitoring for Neurological Conditions
MRI scans taken before prostate cancer treatment may already contain clues about which patients are most at risk for the disease returning after radiation. In a new study, Onofrio A Catalano and colleagues analyzed pretreatment prostate MRIs and… MRI Clues Could Help Predict Prostate Cancer’s Return After Radiation
Doctors often use an invasive catheter inside an artery to get continuous blood pressure readings during surgery, but that can be uncomfortable and risk complications. In a new study, Zahra Einalou, Maria Angela Franceschini and colleagues tested… FlexNIRS Offers Needle-Free Way to Track Blood Pressure
Understanding how different parts of the brain communicate requires precise maps of neural activity. In a new study, Tommi Raij and colleagues improved the way scientists interpret data from magnetoencephalography, or MEG — a technology… A Faster, Clearer Way to See Brain Activity with MEG
PET scans can reveal inflammation in the brain, but they’re costly and require injecting a small amount of radioactive material. In a new study, Marco Loggia and colleagues developed an artificial intelligence system that can create “synthetic”… Generating PET Images — Without the Radiation
Image by Chiara Maffei, PhD When a paper lands in Nature Biomedical Engineering, it signals something worth paying attention to. A recent publication by Martinos Center researchers Gabriel Ramos Llordén, PhD, Hong-Hsi Lee, MD, PhD, Susie… Another Leap Forward in Connectome Imaging of the Brain
Ara is a certified kimono dresser and teacher – and a lively promoter of the tradition.
Matthew Rosen was part of an effort to address barriers to the successful implementation of pMRI for brain research.
Members of the Laboratory for Computational Neuroimaging embraced the spirit of the season at their holiday party in December.
For most people, the thought of running a marathon would be daunting enough. Not for Anna Blazejewska.
The award will fund development of a wearable device for women that monitors the brain’s system that clears waste during sleep.
The tool will make it easier for researchers without the technical expertise to take advantage of AI.
Malte Hoffmann, PhD, and colleagues have developed a new, AI-based approach to image registration that is more robust, accurate, and faster than existing methods.
