Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising

  title={Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising},
  author={Samuel St-Jean and Pierrick Coup{\'e} and Maxime Descoteaux},
  journal={Medical image analysis},
Multi-channel framelet denoising of diffusion-weighted images
A tight wavelet frame based approach for edge-preserving denoising of diffusion-weighted (DW) images using the unitary extension principle (UEP) to generate frames that are discrete analogues to differential operators of various orders, which will help avoid stair-casing effects.
Automated characterization of noise distributions in diffusion MRI data
Two new automated methods using moments and maximum likelihood equations of the Gamma distribution to estimate noise distributions as they explicitly depend on the number of coils are introduced, making it possible to estimate all unknown parameters using only the magnitude data.
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space
This work improves NLM by performing neighborhood matching in non-flat domains and removing noise with information from both LaTeX andinline-formula, and is able to more effectively locate recurrent information in white matter structures with different orientations.
The impact of position-orientation adaptive smoothing in diffusion weighted imaging—From diffusion metrics to fiber tractography
POAS post-processing enhances image quality, decreases the intra-subject variability of signal intensity and fractional anisotropy, increases fiber tract volume of the corticospinal tract, and leads to higher reproducibility of tractography results.
In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution
We present a whole-brain in vivo diffusion MRI (dMRI) dataset acquired at 760 μm isotropic resolution and sampled at 1260 q-space points across 9 two-hour sessions on a single healthy participant.
Measuring compartmental -orientational dependence in human brain white matter using a tiltable RF coil and diffusion- correlation MRI
The anisotropy of brain white matter microstructure manifests itself in orientational-dependence of various MRI contrasts, and can result in significant quantification biases if ignored.


Non Local Spatial and Angular Matching : a new denoising technique for diffusion MRI
The redundancy of DWIs are proposed to be used as a sparse representation to reduce the noise level and achieve a higher SNR using dictionary learning and sparse coding, without the need for additional acquisition time.
Real diffusion-weighted MRI enabling true signal averaging and increased diffusion contrast
Accelerated High Spatial Resolution Diffusion-Weighted Imaging
A novel multi-snapshot DWI reconstruction technique that simultaneously achieves HR reconstruction and local tissue model estimation while enabling reconstruction from snapshots containing different subsets of diffusion gradients, providing increased robustness to patient motion and potential for acceleration is proposed.
A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging