Dr. Wang is an Assistant Professor of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS). She obtained her PhD degree from MIT in the Harvard-MIT Health Sciences and Technology department, receiving interdisciplinary training in electrical engineering, medical physics, neuroscience, and clinical science (completed the pre-clinical curriculum at HMS). Following the completion of her PhD, Dr. Wang joined the faculty of MGH and Harvard Medical School, and has been working in the A. A. Martinos Center for Biomedical Imaging.
Dr. Wang’s research centers on developing novel MRI acquisition and reconstruction techniques to provide higher imaging sensitivity, specificity, and efficiency. Dr. Wang has led the development of a number of imaging technologies that effectively address long-standing challenges of MRI, and successfully demonstrated their value in a wide range of applications, such as functional, diffusion, and quantitative MRI. These techniques are being adopted worldwide to map brain functions and structures with unprecedented acquisition speed, image resolution, data quality, and information content.
For example, the EPTI technique she developed introduces a novel MRI readout that addresses EPI’s major limitations while providing rich multi-contrast information. EPTI-based fMRI techniques have improved the sensitivity and specificity of functional mapping, and are supported by multiple NIH and BRAIN Initiative grants as the next-gen fMRI acquisition to advance brain function studies. Dr. Wang’s research also focuses on diffusion MRI. Her dMRI techniques have resulted in substantial improvements in SNR efficiency, motion robustness, and spatial resolution. The submillimeter in-vivo diffusion Connectome dataset she published has been used by researchers globally to study previously inaccessible but vital brain circuitries important in Alzheimer’s disease, Parkinson’s disease, etc. Her recent dMRI developments further push the boundaries of achievable resolution in in-vivo dMRI to a mesoscopic scale (~0.1 mm3) at both 3T and 7T. Another area of her research is quantitative MRI, where she has developed ultra-fast multi-parametric imaging with high isotropic resolution (T1, T2, T2*, PD, and B1 maps at 1-mm iso within 3 mins) that has been employed in clinical studies with patients.
Full list of publication:
PhD, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology (MIT)
1. Wang F, Dong Z, Reese TG, Bilgic B, Katherine Manhard M, Chen J, Polimeni JR, Wald LL, Setsompop K. Echo planar time-resolved imaging (EPTI). Magn Reson Med. 2019 Jun;81(6):3599-3615. doi: 10.1002/mrm.27673. Epub 2019 Feb 3. PMID: 30714198; PMCID: PMC6435385.
2. Wang F, Dong Z, Wald LL, Polimeni JR, Setsompop K. Simultaneous pure T2 and varying T2′-weighted BOLD fMRI using Echo Planar Time-resolved Imaging for mapping cortical-depth dependent responses. Neuroimage. 2021 Oct 13;245:118641. doi: 10.1016/j.neuroimage.2021.118641. Epub ahead of print. PMID: 34655771.
3. Wang F, Dong Z, Tian Q, Liao C, Fan Q, Hoge WS, Keil B, Polimeni JR, Wald LL, Huang SY, Setsompop K. In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution. Sci Data. 2021 Apr 29;8(1):122. doi: 10.1038/s41597-021-00904-z. PMID: 33927203; PMCID: PMC8084962.
ISMRM I.I. Rabi Young Investigator Award Finalist (2019 for EPTI)
United States Patent #11,022,665: Method for echo planar time-resolved magnetic resonance imaging (US20190369185A1)
United States Patent #10,871,534: Accelerated magnetic resonance imaging using a tilted reconstruction kernel in phase encoded and point spread function encoded K-space (US20190369186A1)