The development of lesions in the brain’s cortical gray matter is a strong predictor of neurological disability for people with multiple sclerosis (MS), according to a study reported today in the journal Radiology. The findings suggest a role for ultrahigh-field MRI in monitoring the progression ...
Search Results: Point-of-Care Anatomical Imaging
Nouchine Hadjikhani
Nouchine Hadjikhani, MD, PhD, is an Associate Professor of Radiology at Harvard Medical School, where she directs the Neurolimbic Research Laboratory. She is also an Assistant in Neurosciences at the Massachusetts General Hospital and a visiting professor at GNC, Gothenburg University, Sweden. Sh...
Suk-tak (Phoebe) Chan
Dr. Chan joined the Athinoula A. Martinos Center for Biomedical Imaging at MGH in 2010 as an instructor. Her current research focuses on imaging of cerebrovascular responses using ultrasound and MRI. She uses natural breathing/gaseous challenge to measure cerebrovascular responses in healthy sub...
Susie Huang
Susie Huang, MD, PhD, is a board-certified neuroradiologist and physician-scientist specializing in the development and translation of novel MRI techniques for investigating structure, function and pathology within the brain. Her doctoral training in physical chemistry and subsequent residency in...
Xiaoqing Alice Zhou
Dr. Zhou has over 10 years of experience in neuroscience and neuroimaging, utilizing advanced magnetic resonance imaging (MRI) and innovative neuro-techniques for translational studies in both animal and human brains. Early in her career, she investigated the degenerative brain functions related ...
Noninvasive Imaging Strategy Detects Dangerous Blood Clots in the Body
Martinos Center Joins QMENTA, University of Rochester in Announcing the Results of the ‘IronTract Challenge’
The Martinos Center for Biomedical Imaging, the University of Rochester, and medical image processing company QMENTA have concluded the groundbreaking IronTract Challenge, which brought together bioimaging researchers across the world to collaborate on and establish an objective assessment of acc...
Imaging Services Staff
Alphabetical List staff names, title, contact information and a photo
New Molecular Imaging Tool Detects Pulmonary Fibrosis
The Pain and Neuroinflammation Imaging Lab
Smart Chemiluminescence Probe Facilitates Optical Imaging of Amyloid-Beta
Developed by Chongzhao Ran and colleagues, the probe greatly improves the ability to detect amyloid-beta in vitro and in a mouse model of Alzheimer's disease.
Q&A with Caterina Mainero, Director of the Multiple Sclerosis Imaging Laboratory
Gabriel Ramos Llorden
Dr. Gabriel Ramos Llorden (1988, Spain) is a biomedical imaging scientist and engineer with more than 12 years of experience advancing medical imaging across multiple modalities, including MRI, ultrasound, and CT. He has deep expertise in MRI acquisition, reconstruction, and AI-driven analysis, c...
Deep Learning Algorithm Can Measure Disease Severity and Change on a Continuous Spectrum
Clinicians often use imaging to evaluate both the severity and progression of disease, in many cases by assigning severity to one of several categories based on the imaging findings and seeing whether and how the classification changes on follow-up. This approach can have its limits, though. B...
The Radiochemistry Team, and Everything That Doesn’t Go Wrong
PET-MR, a multimodality imaging technique that pairs the whole-body functional imaging of positron emission tomography (PET) with the local anatomic detail and morphological information of magnetic resonance (MR) imaging, shows great potential for clinical application. We still don’t know exactly...
Optical Imaging Method Can Determine Cannabis Intoxication, According to New Study
Tweets From the Front Lines
In the past few weeks, we've seen a shift in the Martinos Center's Twitter feed. Usually teeming with tweets about the latest research, upcoming conferences and occasionally the antics of someone's adorable dog, the feed is now, unsurprisingly, dominated by updates about COVID-19 and the medical ...
Martinos Publications
Martinos 2024 Report Read More 20+20 Vision: 40 Years on the Cutting Edge of Science and Care Read More Martinos Cookbook Read More
Albert Kim
I am a board-certified oncologist with expertise in deep learning (DL)-computer vision and cancer genomics. Our prior work has applied end-to-end DL to data acquired in standard oncologic care (e.g., histopathology [H&E], CT, MRI) to accurately infer tumor genomics and properties of the micro...