17 citations · 63 across the 24 of their papers we have counts for
12 papers · 1 filter
Separating mixtures of single-fiber orientation distributions for increased sensitivity to crossing white matter fibers
Adam M. Saunders, Gaurav Rudravaram, Michael E. Kim +10
Intro: Diffusion MRI allows for in vivo probing of brain tissue architecture via micron-level diffusion aggregated at the millimeter scale, but crossing white matter fibers decreas…
Large-Scale Deployment and Analytical Implications of Structured Quality Control in Diffusion Magnetic Resonance Imaging
Michael E. Kim, Chenyu Gao, Karthik Ramadass +17
Purpose: Diffusion MRI (dMRI) provides a diverse set of quantitative measures and derived datatypes to assess white matter microstructure and macrostructure. Coupled with the incre…
Personalized White Matter Bundle Segmentation for Early Childhood
Elyssa M. McMaster, Michael E. Kim, Nancy R. Newlin +12
White matter segmentation methods from diffusion magnetic resonance imaging range from streamline clustering-based approaches to bundle mask delineation, but none have proposed a p…
Fully Differentiable dMRI Streamline Propagation in PyTorch
Jongyeon Yoon, Elyssa M. McMaster, Michael E. Kim +4
Diffusion MRI (dMRI) provides a distinctive means to probe the microstructural architecture of living tissue, facilitating applications such as brain connectivity analysis, modelin…
Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values
Adam M. Saunders, Michael E. Kim, Chenyu Gao +6
While typical qualitative T1-weighted magnetic resonance images reflect scanner and protocol differences, quantitative T1 mapping aims to measure T1 independent of these effects. C…
Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI
Tian Yu, Yunhe Li, Michael E. Kim +8
Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relat…
Predicting Age from White Matter Diffusivity with Residual Learning
Chenyu Gao, Michael E. Kim, Ho Hin Lee +17
Imaging findings inconsistent with those expected at specific chronological age ranges may serve as early indicators of neurological disorders and increased mortality risk. Estimat…
BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation
Etienne St-Onge, Kurt G Schilling, Francois Rheault
This work presents BundleSeg, a reliable, reproducible, and fast method for extracting white matter pathways. The proposed method combines an iterative registration procedure with…
Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI
Vishwesh Nath, Sudhir K. Pathak, Kurt G. Schilling +2
Diffusion-weighted magnetic resonance imaging (DW-MRI) is the only non-invasive approach for estimation of intra-voxel tissue microarchitecture and reconstruction of in vivo neural…
MRI correlates of chronic symptoms in mild traumatic brain injury
Cailey I. Kerley, Kurt G. Schilling, Justin Blaber +5
Veterans with mild traumatic brain injury (mTBI) have reported auditory and visual dysfunction that persists beyond the acute incident. The etiology behind these symptoms is diffic…
Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution
Vishwesh Nath, Kurt G. Schilling, Colin B. Hansen +10
Confocal histology provides an opportunity to establish intra-voxel fiber orientation distributions that can be used to quantitatively assess the biological relevance of diffusion…
Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE
Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling +9
Intra-voxel models of the diffusion signal are essential for interpreting organization of the tissue environment at micrometer level with data at millimeter resolution. Recent adva…