Diffusion MRI

Harmonization of diffusion MRI datasets with adaptive dictionary learning

Diffusion weighted magnetic resonance imaging is a noninvasive imaging technique which can indirectly infer the microstructure of tissues and provide metrics which are subject to normal variability across subjects. Potentially abnormal values or …

Automated characterization of noise distributions in diffusion MRI data

Knowledge of the noise distribution in diffusion MRI is the centerpiece to quantify uncertainties arising from the acquisition process. Accurate estimation beyond textbook distributions often requires information about the acquisition process, which …

Automated characterization of noise distributions in diffusion MRI data

Estimate any noise distribution from magnitude data only

Restoration and characterization of diffusion MRI data

Diffusion magnetic resonance imaging (dMRI) is an imaging technique to obtain information about the microstructural properties of tissues non-invasively, such as white matter in the human brain. The properties of the dMRI signal can be used to …

Reducing variability in along-tract analysis with diffusion profile realignment

Diffusion weighted MRI (dMRI) provides a non invasive virtual reconstruction of the brain's white matter structures through tractography. Analyzing dMRI measures along the trajectory of white matter bundles can provide a more specific investigation …

Diffusion profile realignment

Making your along-tract analysis reliable

Obtaining representative core streamlines for white matter tractometry of the human brain

Diffusion MRI infers information about the micro-structural architecture of the brain by probing the diffusion of water molecules. The process of virtually reconstructing brain pathways based on these measurements is called tractography. Various …

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

Diffusion magnetic resonance imaging datasets suffer from low Signal-to-Noise Ratio, especially at high b-values. Acquiring data at high b-values contains relevant information and is now of great interest for microstructural and connectomics studies. …

Non Local Spatial and Angular Matching (NLSAM) denoising

Denoising for diffusion MRI using dictionary learning

Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?

Diffusion magnetic resonance imaging (dMRI) is the modality of choice for investigating in-vivo white matter connectivity and neural tissue architecture of the brain. The diffusion-weighted signal in dMRI reflects the diffusivity of water molecules …