Dr. Shen’s work focuses on advancing ultra-low field (ULF) MRI hardware, quantitative imaging techniques and ultra-low field MRI applicaiotns. He has developed novel approaches for T1 and T2 mapping at 6.5 mT to enable accessible MRI and quantitative evaluation for breast and brain. In addition, he explores the use of superparamagnetic iron oxide nanoparticles (SPIONs) to enhance contrast in ULF MRI, and applies AI-driven image post-processing to improve SNR and spatial resolution low field MRI. Looking ahead, his work aims to establish quantitative MRI biomarkers for cerebrovascular diseases assessment and monitoring, drive hardware innovations for breast cancer screening, and develop data-driven post-processing methods to enhance image quality at low field.
Dr. Shen received his PhD in Electrical Engineering from Chongqing University and completed joint training at the Martinos Center as a visiting PhD student before returning as a postdoctoral fellow. His contributions span RF and gradient coil design, electromagnet development, and topology optimization for MRI hardware systems.
Education
Ph.D.
Select Publications
1. Shen S, Koonjoo N, Ogier SE, Boele T, Saksena MA, Keenan KE, et al. B1-corrected breast T1 mapping at ultralow field. Magnetic Resonance in Medicine. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.30602
2. Shen S, Koonjoo N, Boele T, Lu J, Waddington DEJ, Zhang M, et al. Enhancing organ and vascular contrast in preclinical ultra-low field MRI using superparamagnetic iron oxide nanoparticles. Commun Biol. 2024 Sep 28;7(1):1–13.
3. Shen S, Xu Z, Koonjoo N, Rosen MS. Optimization of a Close-Fitting Volume RF Coil for Brain Imaging at 6.5 mT Using Linear Programming. IEEE Trans Biomed Eng. 2021 Apr;68(4):1106–14.
Highlights
NMR Probe research highlighted as the cover article in Journal of Magnetic Resonance (2019)
First Place, Abstract Competition – Low Field MRI Study Group, ISMRM (2025)