User profiles for Allison E. Hainline
Allison E. HainlineVanderbilt University Verified email at vanderbilt.edu Cited by 297 |
Tractography reproducibility challenge with empirical data (TraCED): the 2017 ISMRM diffusion study group challenge
…, Y Huo, JA Blaber, AE Hainline… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Fiber tracking with diffusion‐weighted MRI has become an essential tool for
estimating in vivo brain white matter architecture. Fiber tracking results are sensitive to the …
estimating in vivo brain white matter architecture. Fiber tracking results are sensitive to the …
Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI
Purpose Diffusion-weighted magnetic resonance imaging (DW-MRI) is of critical importance
for characterizing in-vivo white matter. Models relating microarchitecture to observed DW-…
for characterizing in-vivo white matter. Models relating microarchitecture to observed DW-…
Inter-scanner harmonization of high angular resolution DW-MRI using null space deep learning
Diffusion-weighted magnetic resonance imaging (DW-MRI) allows for non-invasive imaging
of the local fiber architecture of the human brain at a millimetric scale. Multiple classical …
of the local fiber architecture of the human brain at a millimetric scale. Multiple classical …
Gray matter surface based spatial statistics (GS-BSS) in diffusion microstructure
Tract-based spatial statistics (TBSS) has proven to be a popular technique for performing
voxel-wise statistical analysis that aims to improve sensitivity and interpretability of analysis of …
voxel-wise statistical analysis that aims to improve sensitivity and interpretability of analysis of …
Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for neurite orientation dispersion and density imaging using AMICO
…, KG Schilling, AE Hainline, E Mojahed… - Magnetic resonance …, 2018 - Elsevier
Neurite Orientation Dispersion and Density Imaging (NODDI) has been gaining prominence
for estimating multiple diffusion compartments from MRI data acquired in a clinically feasible …
for estimating multiple diffusion compartments from MRI data acquired in a clinically feasible …
Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps
…, W Rodriguez, Y Huo, AE Hainline… - Medical imaging …, 2019 - spiedigitallibrary.org
Deep brain stimulation (DBS) has the potential to improve the quality of life of people with a
variety of neurological diseases. A key challenge in DBS is in the placement of a stimulation …
variety of neurological diseases. A key challenge in DBS is in the placement of a stimulation …
Characterization and correlation of signal drift in diffusion weighted MRI
Diffusion weighted MRI (DWMRI) and the myriad of analysis approaches (from tensors to
spherical harmonics and brain tractography to body multi-compartment models) depend on …
spherical harmonics and brain tractography to body multi-compartment models) depend on …
Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI
…, P Parvathaneni, J Blaber, AE Hainline… - Journal of Medical …, 2018 - spiedigitallibrary.org
The diffusion tensor model is nonspecific in regions where micrometer structural patterns are
inconsistent at the millimeter scale (ie, brain regions with pathways that cross, bend, branch…
inconsistent at the millimeter scale (ie, brain regions with pathways that cross, bend, branch…
Improved gray matter surface based spatial statistics in neuroimaging studies
Neuroimaging often involves acquiring high-resolution anatomical images along with other
low-resolution image modalities, like diffusion and functional magnetic resonance imaging. …
low-resolution image modalities, like diffusion and functional magnetic resonance imaging. …
Deep learning captures more accurate diffusion fiber orientations distributions than constrained spherical deconvolution
Confocal histology provides an opportunity to establish intra-voxel fiber orientation distributions
that can be used to quantitatively assess the biological relevance of diffusion weighted …
that can be used to quantitatively assess the biological relevance of diffusion weighted …