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 …

Improved determination of the myelin water fraction in human brain using magnetic resonance imaging through Bayesian analysis of mcDESPOT

M Bouhrara, RG Spencer - Neuroimage, 2016 - Elsevier
Myelin water fraction (MWF) mapping with magnetic resonance imaging has led to the ability
to directly observe myelination and demyelination in both the developing brain and in …

Bicomponent ultrashort echo time analysis for assessment of patients with patellar tendinopathy

R Kijowski, JJ Wilson, F Liu - Journal of Magnetic Resonance …, 2017 - Wiley Online Library
Purpose To compare bicomponent ultrashort echo time (UTE) parameters of patellar tendon
between healthy volunteers and patients with patellar tendinopathy. Materials and Methods …

Analysis of mcDESPOT‐and CPMG‐derived parameter estimates for two‐component nonexchanging systems

M Bouhrara, DA Reiter, H Celik… - Magnetic resonance …, 2016 - Wiley Online Library
Purpose To compare the reliability and stability of the multicomponent‐driven equilibrium
single pulse observation of T1 and T2 (mcDESPOT) and Carl‐Purcell‐Meiboom‐Gill …

Noise estimation and reduction in magnetic resonance imaging using a new multispectral nonlocal maximum-likelihood filter

M Bouhrara, JM Bonny, BG Ashinsky… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Denoising of magnetic resonance (MR) images enhances diagnostic accuracy, the quality of
image manipulations such as registration and segmentation, and parameter estimation. The …

3D‐multi‐echo radial imaging of 23Na (3D‐MERINA) for time‐efficient multi‐parameter tissue compartment mapping

Y Blunck, S Josan, SW Taqdees… - Magnetic resonance …, 2018 - Wiley Online Library
Purpose This work demonstrates a 3D radial multi‐echo acquisition scheme for time‐
efficient sodium (23Na) MR‐signal acquisition and analysis. Echo reconstructions were …

A majorize-minimize framework for Rician and non-central chi MR images

D Varadarajan, JP Haldar - IEEE transactions on medical …, 2015 - ieeexplore.ieee.org
The statistics of many MR magnitude images are described by the non-central chi (NCC)
family of probability distributions, which includes the Rician distribution as a special case …

[HTML][HTML] Fast, accurate, and robust T2 mapping of articular cartilage by neural networks

G Müller-Franzes, T Nolte, M Ciba, J Schock, F Khader… - Diagnostics, 2022 - mdpi.com
For T2 mapping, the underlying mono-exponential signal decay is traditionally quantified by
non-linear Least-Squares Estimation (LSE) curve fitting, which is prone to outliers and …

Fisher information and Cramér‐Rao lower bound for experimental design in parallel imaging

M Bouhrara, RG Spencer - Magnetic resonance in medicine, 2018 - Wiley Online Library
Purpose The Cramér‐Rao lower bound (CRLB) is widely used in the design of magnetic
resonance (MR) experiments for parameter estimation. Previous work has considered only …

Influence of gadolinium-based contrast agents on tissue sodium quantification in sodium magnetic resonance imaging

NK Paschke, W Neumann, T Uhrig… - Investigative …, 2018 - journals.lww.com
Objectives Sodium magnetic resonance (MR) imaging provides noninvasive insights to
cellular processes by measuring tissue sodium concentration (TSC). Many clinical studies …