Dr. Bragi Sveinsson is an Instructor in Radiology at Harvard Medical School. He earned his Ph.D. in Electrical Engineering from Stanford University, where his focus area was Magnetic Resonance Imaging, or MRI.
In his research, Dr. Sveinsson is mainly interested in imaging methods for the musculoskeletal and peripheral nervous systems, particularly related to conditions associated with aging. More specifically, he has worked in several technical frontiers in the field of MRI: (1) Quantitative imaging in the musculoskeletal system based on modeling of MRI physics. (2) Imaging close to metallic implants. (3) Predicting quantitative microstructural tissue parameters with machine learning. (4) Immersive visualization of MRI data. (5) MRI at low magnetic fields.
Ph.D. in Electrical Engineering, Stanford University
1. Sveinsson B, Chaudhari AS, Gold GE, Hargreaves BA. A Simple Analytic Method for
Estimating T2 in the Knee from DESS. Magn Reson Imaging 2017; 38: 63-70.
2. Sveinsson B, Chaudhari AS, Zhu B, Koonjoo N, Torriani M, Gold GE, Rosen MS. Synthesizing
Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic
Data with a Conditional Generative Adversarial Network. Radiology: Artificial Intelligence
3. Sveinsson B, Koonjoo N, Rosen MS. ARmedViewer, an augmented-reality-based fast 3D
reslicer for medical image data on mobile devices: A feasibility study. Computer Methods and
Programs in Biomedicine 2021; 200:105836.
K99/R00 Pathway to Independence Award (National Institute on Aging, NIH)
Junior Fellow, International Society for Magnetic Resonance in Medicine
CECI2 Early Career Investigator, The Academy for Radiology and Biomedical Imaging Research
Butler-Williams Scholar (National Institute on Aging, NIH)