bridging the micro-macro gap with diffusion MRI

Gregory Lemberskiy

Gregory Lemberskiy's picture
Research Interests: 

I work on the experimental and theoretical development of translating the time-dependent diffusion coefficient as a clinical biomarker in tissues such as muscle and prostate. Due to physical and physiological constraints, conventional MRI techniques have spatial resolution that is limited to roughly 1 mm. Diffusion MRI is no exception to this; however, diffusion images derive their contrast from restrictions to water molecule diffusion can be 100-1000 times smaller than an MRI imaging voxel. Since Diffusion MRI is inherently sensitive to microscopic length scales and cellular architecture, I am using Diffusion MRI acquisition coupled with biophysical modeling to infer quantitative tissue parameters at the cellular level. 

Awards and Honors: 
  • NYU Sackler Institute. 2017 Maccraken Award
  • Editor's Pick, NMR in Biomedicine, March 2017:Validation of surface-to-volume ratio measurements derived from oscillating gradient spin echo on a clinical scanner using anisotropic fiber phantoms
  • Summa Cum Laude ISMRM 2016, Singapore: Validation of Surface-to-Volume Ratio derived from Oscillating Gradient Spin Echo on a clinical scanner using anisotropic fiber phantoms
  • Summa Cum Laude ISMRM 2015, Toronto: Clinical feasibility of time-dependent diffusion MRI for improved prostate cancer grading
  • Radiological Society of North America Trainee Research Prize
Research Category: 
660 1st Avenue
New York, NY 10016
United States

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