As diffusion tensor imaging gains widespread use, many researchers have been motivated to go beyond the tensor model and fit more complex diffusion models, to gain a more complete description of white ...

Diffusion basis spectrum imaging detects subclinical traumatic optic neuropathy in a closed-head impact mouse model of traumatic brain injury Hsin-Chieh Yang 1 † Raj Swaroop Lavadi 1 Andrew D.

Therefore, we developed diffusion basis spectrum imaging (DBSI) to analyze diffusion-weighted images obtained with multi-direction and multi-b-value schemes. DBSI more accurately detects and ...

2 Department of Psychology and Center for the Neural Basis of Computation, Carnegie Mellon University, Pittsburgh, ... Citation: Yeh F-C and Verstynen TD (2016) Converting Multi-Shell and Diffusion ...

Diffusion spectrum imaging reveals detailed local diffusion properties at the expense of substantially long imaging times. It is possible to accelerate acquisition by undersampling in q-space, ...

We propose to use Gaussian process regression to accurately estimate the diffusion MRI signal at arbitrary locations in q-space. By estimating the signal on a grid, we can do synthetic diffusion ...