[HTML][HTML] The sensitivity of diffusion MRI to microstructural properties and experimental factors

M Afzali, T Pieciak, S Newman, E Garyfallidis… - Journal of Neuroscience …, 2021 - Elsevier
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 …

Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network

M Ran, J Hu, Y Chen, H Chen, H Sun, J Zhou… - Medical image …, 2019 - Elsevier
Abstract Structure-preserved denoising of 3D magnetic resonance imaging (MRI) images is
a critical step in medical image analysis. Over the past few years, many algorithms with …

[PDF][PDF] Medical image denoising techniques: a review

R Patil, S Bhosale - International Journal on Engineering, Science …, 2022 - academia.edu
Medical imaging means the methods and procedures used for creating pictures of various
parts of the human body for numerous clinical objectives. These images are constantly gets …

Mapping astrogliosis in the individual human brain using multidimensional MRI

D Benjamini, DS Priemer, DP Perl, DL Brody… - Brain, 2023 - academic.oup.com
There are currently no non-invasive imaging methods available for astrogliosis assessment
or mapping in the central nervous system despite its essential role in the response to many …

Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative

BG Ashinsky, M Bouhrara, CE Coletta… - Journal of …, 2017 - Wiley Online Library
The purpose of this study is to evaluate the ability of a machine learning algorithm to classify
in vivo magnetic resonance images (MRI) of human articular cartilage for development of …

Mapping the individual human cortex using multidimensional MRI and unsupervised learning

S Kundu, S Barsoum, J Ariza, AL Nolan… - Brain …, 2023 - academic.oup.com
Human evolution has seen the development of higher-order cognitive and social capabilities
in conjunction with the unique laminar cytoarchitecture of the human cortex. Moreover, early …

[HTML][HTML] Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping

Q Beirinckx, B Jeurissen, M Nicastro, DHJ Poot… - … Medical Imaging and …, 2022 - Elsevier
Abstract Quantitative Magnetic Resonance (MR) imaging provides reproducible
measurements of biophysical parameters, and has become an essential tool in clinical MR …

Multidimensional MRI for characterization of subtle axonal injury accelerated using an adaptive nonlocal multispectral filter

D Benjamini, M Bouhrara, ME Komlosh, D Iacono… - Frontiers in …, 2021 - frontiersin.org
Multidimensional MRI is an emerging approach that simultaneously encodes water
relaxation (T 1 and T 2) and mobility (diffusion) and replaces voxel-averaged values with …

Maximum-likelihood, magnitude-based, amplitude and noise variance estimation

MW Wu, Y Jin, Y Li, T Song… - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
Maximum likelihood (ML) amplitude and noise variance estimation without having to jointly
estimate the frequency and the phase and based only on information from the noisy …

Use of the NESMA filter to improve myelin water fraction mapping with brain MRI

M Bouhrara, DA Reiter, MC Maring… - Journal of …, 2018 - Wiley Online Library
ABSTRACT BACKGROUND AND PURPOSE Myelin water fraction (MWF) mapping permits
direct visualization of myelination patterns in the developing brain and in pathology. MWF is …