Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

Over the past several years, although the resolution, signal-to-noise ratio and acquisition
speed of magnetic resonance imaging (MRI) technology have been increased, MR images …

Purpose To estimate the spatially varying noise map using a redundant series of magnitude
MR images. Methods We exploit redundancy in non‐Gaussian distributed multidirectional …

Diffusion Weighted Images (DWI) normally shows a low Signal to Noise Ratio (SNR) due to
the presence of noise from the measurement process that complicates and biases the …

Quantitative magnetic resonance analysis often requires accurate, robust, and reliable
automatic extraction of anatomical structures. Recently, template-warping methods …

Predicting Alzheimer's disease (AD) in individuals with some symptoms of cognitive decline
may have great influence on treatment choice and disease progression. Structural magnetic …

Subjective inner experiences, such as mind-wandering, represent the fundaments of human
cognition. Although the precise function of mind-wandering is still debated, it is increasingly …

This paper proposes two new methods for the three-dimensional denoising of magnetic
resonance images that exploit the sparseness and self-similarity properties of the images …

We have developed the Tractometer: an online evaluation and validation system for
tractography processing pipelines. One can now evaluate the results of more than 57,000 …

This paper proposes a novel method for MRI denoising that exploits both the sparseness
and self-similarity properties of the MR images. The proposed method is a two-stage …