88 citations · 214 across the 4 of their papers we have counts for
7 papers
Universal Sampling Denoising (USD) for noise mapping and noise removal of non-Cartesian MRI
Hong-Hsi Lee, Mahesh Bharath Keerthivasan, Gregory Lemberskiy +3
Random matrix theory (RMT) combined with principal component analysis has resulted in a widely used MPPCA noise mapping and denoising algorithm, that utilizes the redundancy in mul…
Realistic Microstructure Simulator (RMS): Monte Carlo simulations of diffusion in three-dimensional cell segmentations of microscopy images
Hong-Hsi Lee, Els Fieremans, Dmitry S Novikov
Background: Monte Carlo simulations of diffusion are commonly used as a model validation tool as they are especially suitable for generating the diffusion MRI signal in complicated…
The impact of realistic axonal shape on axon diameter estimation using diffusion MRI
Hong-Hsi Lee, Sune N. Jespersen, Els Fieremans +1
To study axonal microstructure with diffusion MRI, axons are typically modeled as straight impermeable cylinders, whereby the transverse diffusion MRI signal can be made sensitive…
In vivo observation and biophysical interpretation of time-dependent diffusion in human cortical gray matter
Hong-Hsi Lee, Antonios Papaioannou, Dmitry S. Novikov +1
The dependence of the diffusion MRI signal on the diffusion time is a hallmark of tissue microstructure at the scale of the diffusion length. Here we measure the time-dependenc…
A time-dependent diffusion MRI signature of axon caliber variations and beading
Hong-Hsi Lee, Antonios Papaioannou, Sung-Lyoung Kim +2
MRI provides a unique non-invasive window into the brain, yet is limited to millimeter resolution, orders of magnitude coarser than cell dimensions. Here we show that diffusion MRI…
Solving the paradox of the folded falling chain by considering horizontal kinetic energy and link geometry
Hong-Hsi Lee, Chih-Fan Chen, I-Shing Hu
A folded chain, with one end fixed at the ceiling and the other end released from the same elevation, is commonly modeled as an energy-conserving system in one-dimension. However,…