Sparse reconstruction techniques in magnetic resonance imaging: methods, applications, and challenges to clinical adoption
AC Yang, M Kretzler, S Sudarski, V Gulani… - Investigative …, 2016 - journals.lww.com
The family of sparse reconstruction techniques, including the recently introduced
compressed sensing framework, has been extensively explored to reduce scan times in …
compressed sensing framework, has been extensively explored to reduce scan times in …
Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI
The ability of diffusion MRI (dMRI) fiber tractography to non-invasively map three-
dimensional (3D) anatomical networks in the human brain has made it a valuable tool in …
dimensional (3D) anatomical networks in the human brain has made it a valuable tool in …
Fiber ball imaging
JH Jensen, GR Glenn, JA Helpern - Neuroimage, 2016 - Elsevier
By modeling axons as thin cylinders, it is shown that the inverse Funk transform of the
diffusion MRI (dMRI) signal intensity obtained on a spherical shell in q-space gives an …
diffusion MRI (dMRI) signal intensity obtained on a spherical shell in q-space gives an …
Non Local Spatial and Angular Matching: Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
Diffusion magnetic resonance imaging (MRI) datasets suffer from low Signal-to-Noise Ratio
(SNR), especially at high b-values. Acquiring data at high b-values contains relevant …
(SNR), especially at high b-values. Acquiring data at high b-values contains relevant …
Tractography-based connectomes are dominated by false-positive connections
Fiber tractography based on non-invasive diffusion imaging is at the heart of connectivity
studies of the human brain. To date, the approach has not been systematically validated in …
studies of the human brain. To date, the approach has not been systematically validated in …
Reproducibility of the structural connectome reconstruction across diffusion methods
V Prčkovska, P Rodrigues… - Journal of …, 2016 - Wiley Online Library
Analysis of the structural connectomes can lead to powerful insights about the brain's
organization and damage. However, the accuracy and reproducibility of constructing the …
organization and damage. However, the accuracy and reproducibility of constructing the …
Optimal DSI reconstruction parameter recommendations: better ODFs and better connectivity
Abstract Diffusion Spectrum Imaging (DSI) has been used for tractography in several
publicly available software and a number of recent high impact publications. However, there …
publicly available software and a number of recent high impact publications. However, there …
[HTML][HTML] Diffusion capillary phantom vs. human data: outcomes for reconstruction methods depend on evaluation medium
Purpose: Diffusion MRI provides a non-invasive way of estimating structural connectivity in
the brain. Many studies have used diffusion phantoms as benchmarks to assess the …
the brain. Many studies have used diffusion phantoms as benchmarks to assess the …
[HTML][HTML] Converting multi-shell and diffusion spectrum imaging to high angular resolution diffusion imaging
FC Yeh, TD Verstynen - Frontiers in Neuroscience, 2016 - frontiersin.org
Multi-shell and diffusion spectrum imaging (DSI) are becoming increasingly popular
methods of acquiring diffusion MRI data in a research context. However, single-shell …
methods of acquiring diffusion MRI data in a research context. However, single-shell …
Porting Matlab Applications to High-Performance C++ Codes: CPU/GPU-Accelerated Spherical Deconvolution of Diffusion MRI Data
In many scientific research fields, Matlab has been established as de facto tool for
application design. This approach offers multiple advantages such as rapid deployment …
application design. This approach offers multiple advantages such as rapid deployment …