Matthew Rosen
Associate Professor of Radiology at Harvard Medical School
Schools
- Harvard Medical School
Links
Biography
Harvard Medical School
Dr. Matt Rosen is a physicist, tool-builder and inventor whose research bridges the spectrum from fundamental physics to applied bioimaging work in the field of MRI. He established the Low-Field MRI and Hyperpolarized Media Laboratory at the Athinoula A. Martinos Center for Biomedical Imaging to focus on the continued development of new hyperpolarization methods and MRI-based tools.
The Rosen Lab focuses on new methods and tools to enable unconventional approaches to MRI scanner construction. This includes the development of new acquisition strategies for robust ultra-low magnetic field implementations of MRI focused on brain imaging. The laboratory also explores opportunities provided by hyperpolarization including in vivo Overhauser DNP, SABRE and spin-exchange optical pumping. The lab creates new quantitative strategies for the acquisition and the reconstruction of highly undersampled imaging data including neural network deep learning-based approaches such as AUTOMAP that leverage low-cost scalable-compute. Dr. Rosen co-directs the Center for Machine Learning at the Martinos Center.
Education
- PhD in Physics, University of Michigan, Ann Arbor
Select Publications
K. N. Sheth, M. H. Mazurek, M. M. Yuen, B. A. Cahn, J. T. Shah, A. Ward, J. A. Kim, E. J. Gilmore, G. J. Falcone, N. Petersen, K. T. Gobeske, F. Kaddouh, D. Y. Hwang, J. Schindler, L. Sansing, C. Matouk, J. Rothberg, G. Sze, J. Siner, M. S. Rosen, S. Spudich, and W. T. Kimberly, “Assessment of Brain Injury Using Portable, Low-Field Magnetic Resonance Imaging at the Bedside of Critically Ill Patients,” JAMA Neurol, Sep. 2020.
D. E. J. Waddington, T. Boele, R. Maschmeyer, Z. Kuncic, and M. S. Rosen, “High-sensitivity in vivo contrast for ultra-low field magnetic resonance imaging using superparamagnetic iron oxide nanoparticles,” Science Advances, vol. 6, no. 29, p. eabb0998, Jul. 2020.
B. Zhu, J. Z. Liu, S. F. Cauley, B. R. Rosen, and M. S. Rosen, “Image reconstruction by domain-transform manifold learning ,” Nature, vol. 555, no. 7697, pp. 487–492, Mar. 2018.
M. Sarracanie, C. D. LaPierre, N. Salameh, D. E. J. Waddington, T. Witzel, and M. S. Rosen, “Low-Cost High-Performance MRI,” Sci Rep, vol. 5, no. 1, p. 15177, Oct. 2015.
Videos
9th Annual TMII Symposium - 2019 - Session III - Neuroimaging - Matthew Rosen, PhD
Translational Research in Radiology: Conversation about the clinical potential of portable MRI
Meet Our Staff- Matt Rosen, PhD
Learning to See: Perceptual Learning and MRI Image Reconstruction
Read about executive education
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