A study by the Center’s Leo Cheng and colleagues suggests that metabolomic changes detected with an advanced nuclear magnetic resonance (NMR) spectroscopy technique can differentiate between patients with benign prostate biopsies who will or will not receive a prostate cancer diagnosis over the following years.
The Jim Thrall, MD Mentoring Award recognizes the mentoring contributions of research as well as clinical faculty in the Mass General Department of Radiology.
Recent studies from the Department of Radiology hav sought new ways to help reduce the incidence of a broken heart (and to ensure a healthy cardiovascular system).
Jyrki Ahveninen and colleagues believe sparse brain activity, where only a few neurons in a population fire at a given time, might contribute to the fingerprint patterns of activity evident in multi-voxel pattern analysis results from functional MRI — and give rise to perceptual, emotional and cognitive functions.
On Wednesday, January 11, the MGH Martinos Center for Biomedical Imaging will stage its first-ever talent show, aptly titled: “The Martinos Center’s Got Talent!” The event will showcase the many, varied talents of folks from… The Martinos Center’s Got Talent!
The study was reported in Nature Communications by the Center’s Laura Lewis and colleagues.
The new device was developed by Optics @ Martinos researchers Kuan-Cheng (Tony) Wu, Marco Renna and Maria Angela Franceschini.
Peter Caravan PhD and Sydney Montesi MD discuss the potential of molecular imaging of pulmonary fibrosis for managing patients with interstitial lung disease and other clinical applications.
Nicole Zurcher Wimmer, Jacob Hooker and colleagues recently reviewed research on relationships between autism spectrum disorder (ASD) and histone deacetylases (HDACs).
The Center’s Christopher P. Bridge and colleagues have created a fully automated deep learning system to quantify and characterize muscle and adipose tissue on CT scans.
In advance of his keynote talk at the upcoming OHBM 2022, Jon submitted to an “Ask Me Anything,” with topics ranging from advances in pulse sequences and image reconstruction to how to be a better ally.
In advance of her keynote talk at the upcoming OHBM 2022, Anastasia submitted to an “Ask Me Anything,” with topics ranging from her work with diffusion tractography to dancing flamenco during lockdown.
David H. Salat and colleagues created a machine learning classifier that detected Alzheimer’s disease–like brain patterns in younger adults (40 to 59 years old) and in a cohort with mild cognitive impairment.
The findings could have important implications for a broad number of stress-related disorders, says Marco Loggia, senior author of the new study.
The project is co-led by the Martinos Center’s David Salat.
The portable, noninvasive procedure could have significant implications for improving highway and workplace safety.
The Center’s Leo Cheng and colleagues reported the study in Proceedings of the National Academy of Sciences.
A new study by the Center’s Phoebe Chan, Kenneth Kwong and colleagues shows that the approach could help improve diagnosis and management of the injury.
The Center’s Or Perlman, Christian Farrar and colleagues reported the findings in Nature Biomedical Engineering.
The award celebrates her achievements in developing MR probes for quantitative imaging of the condition.