Dr. Setsompop is an Associate Professor of Radiology at Harvard Medical School and an affiliated faculty member at Harvard-MIT Division of Health Sciences and Technology (HST). He received his Master’s degree in Engineering Science from Oxford University and his PhD in Electrical Engineering and ...
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David Salat
The overarching aim of Dr. Salat's work is to understand mechanisms of neural disease and to implement novel approaches to reduce the impact of disease on the brain, cognition and clinical status. Clinically, there are two main clinical foci to his research. At the MGH Martinos Center, he directs...
Marco Loggia
In 2008, Marco Loggia was awarded a PhD In Neurological Sciences by McGill University in Montreal, QC (Canada). During his graduate studies, he had the opportunity to work at the Alan Edwards Centre for Research on Pain (formerly McGill Centre for Research on Pain) under the mentorship of its fir...
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Positron Emission Tomography
The state-of-the-art MR-PET suite houses a full range of instrumentation for novel combined MR-PET imaging, including the MR-PET scanners in Bay 6 and Bay 7 (see the Magnetic Resonance Imaging page) and cyclotron and chemistry laboratories for production PET radiotracers. Cyclotron A Siemen...
The Year in Review: 2019
The MGH Martinos Center closed out the decade with yet another stellar year. In 2019, Center investigators reported advances in a range of areas – from technology development to basic science research and a host of clinical applications – and generally showed surprising / not-in-the-least-bit-su...
Christopher Nguyen
The Nguyen lab focuses on the development and clinical application of novel imaging techniques to characterize the cardiovascular system including MRI, optical, and PET. Our primary research interests fall into four general areas: (1) bio- inspired design for heart assisted devices (Science Robot...
Lilianne Mujica-Parodi
Lilianne R. Mujica-Parodi is Director of the Laboratory for Computational Neurodiagnostics (LCNeuro). LCNeuro's research focuses on the application of control systems engineering and dynamical systems to imaging-derived time series, at all scales: from human fMRI, M/EEG, fNIRS to rodent LFP and c...
Facilitating Integration of AI Into Radiology Practice
The Quantitative Translational Imaging in Medicine (QTIM) Lab at the MGH Martinos Center has contributed to the advancement of artificial intelligence in radiology practice in myriad ways. Not least: the group collaborated with the American College of Radiology Data Science Institute (ACR-DSI) in...
The Secret Lives of Martinos Folk: Fighting Stereotypes of Women in Islam, One Karate Kick at a Time
Zeynab Alshelh has practiced karate since she was a young child growing up in Australia. For much of the time she has been involved with the sport, she has focused her efforts on the discipline known as shadow fighting, or Kata. Kata comprises a pre-arranged pattern of movements—kicks and punches...
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...
Ultrahigh-field MRI Tracks Development of Cortical Lesions in Multiple Sclerosis Patients
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 ...
The Secret Lives Of Martinos Folk: Radio, Nerds, and Where Punk and Science Meet
When you hear the words "MIT radio station" you might imagine a group of nervous, bow tie-clad engineers crowded around a chalkboard with a Venn diagram of Roger Dean album covers and Silmarillion references. And you might be forgiven if you did. Such stereotypes of science and engineering studen...
Nutrition and Brain Growth in the Developing World
The aging pickup truck bounces along a dirt road somewhere outside Bissora, one of the larger towns in the Oio region of the West African nation of Guinea-Bissau. The road, a major thoroughfare in the region, is pocked with holes. The rest of the year these would be deep and dusty. But it’s July ...
New Software Improves Ability to Determine the Cause of Stroke
Determining the cause of an ischemic stroke is critical to preventing a second one and is a primary focus in the evaluation of stroke patients. But for all the importance of identifying the cause, physicians have long lacked a robust and objective means to do so. Now a team of investigators at...
Student FAQ
What type of students work at the Martinos Center? The Martinos Center is home to full-time Ph.D. and Master's students from various backgrounds, ranging from Physics, Chemistry, Computer Science and Engineering to Biology, Neuroscience and Psychology. The breadth of research at the Center provi...
Matt Rosen and Colleagues’ Journey Through the Secret Life of Plants
In the waning months of 1979, the legendary Motown artist Stevie Wonder released an album called Stevie Wonder’s Journey Through "The Secret Life of Plants," the soundtrack to the documentary film The Secret Life of Plants. Equal parts frustrating and strangely compelling, and notably using some ...
Matti Hämäläinen and the Music of MEG
Every Christmas back home in Finland, the Martinos Center’s Matti Hämäläinen gathers with friends for an evening of performing chamber music. He plays both flute and piano on these occasions; in more recent years he has explored the repertoire for “piano four hands” with his former classmate Laur...
Learning to See: New Artificial Intelligence Technique Dramatically Improves the Quality of Medical Imaging
A radiologist’s ability to make accurate diagnoses from high-quality diagnostic imaging studies directly impacts patient outcome. However, acquiring sufficient data to generate the best quality imaging comes at a cost – increased radiation dose for computed tomography (CT) and positron emission t...