[HTML][HTML] What's new and what's next in diffusion MRI preprocessing
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 …
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …
Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging
D García-Lorenzo, S Francis, S Narayanan… - Medical image …, 2013 - Elsevier
Magnetic resonance (MR) imaging is often used to characterize and quantify multiple
sclerosis (MS) lesions in the brain and spinal cord. The number and volume of lesions have …
sclerosis (MS) lesions in the brain and spinal cord. The number and volume of lesions have …
White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI
Diffusion-weighted MRI (DW-MRI) has been increasingly used in imaging neuroscience
over the last decade. An early form of this technique, diffusion tensor imaging (DTI) was …
over the last decade. An early form of this technique, diffusion tensor imaging (DTI) was …
[HTML][HTML] Accelerated microstructure imaging via convex optimization (AMICO) from diffusion MRI data
Microstructure imaging from diffusion magnetic resonance (MR) data represents an
invaluable tool to study non-invasively the morphology of tissues and to provide a biological …
invaluable tool to study non-invasively the morphology of tissues and to provide a biological …
A survey on the magnetic resonance image denoising methods
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 …
speed of magnetic resonance imaging (MRI) technology have been increased, MR images …
[HTML][HTML] The sensitivity of diffusion MRI to microstructural properties and experimental factors
Diffusion MRI is a non-invasive technique to study brain microstructure. Differences in the
microstructural properties of tissue, including size and anisotropy, can be represented in the …
microstructural properties of tissue, including size and anisotropy, can be represented in the …
Robust Rician noise estimation for MR images
In this paper, a new object-based method to estimate noise in magnitude MR images is
proposed. The main advantage of this object-based method is its robustness to background …
proposed. The main advantage of this object-based method is its robustness to background …
More accurate estimation of diffusion tensor parameters using diffusion kurtosis imaging
With diffusion tensor imaging, the diffusion of water molecules through brain structures is
quantified by parameters, which are estimated assuming monoexponential diffusion …
quantified by parameters, which are estimated assuming monoexponential diffusion …
Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE
SN Sotiropoulos, S Moeller, S Jbabdi… - Magnetic resonance …, 2013 - Wiley Online Library
Purpose To examine the effects of the reconstruction algorithm of magnitude images from
multichannel diffusion MRI on fiber orientation estimation. Theory and Methods It is well …
multichannel diffusion MRI on fiber orientation estimation. Theory and Methods It is well …
Statistical analysis of noise in MRI
S Aja-Fernández, G Vegas-Sánchez-Ferrero - Switzerland: Springer …, 2016 - Springer
This work is the result of more than 10 years of research in the area of MRI from a signal and
noise perspective. Our interest has always been to properly model the noise that affects our …
noise perspective. Our interest has always been to properly model the noise that affects our …