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 …

Myelin water fraction (MWF) map** with magnetic resonance imaging has led to the ability
to directly observe myelination and demyelination in both the develo** brain and in …

Purpose To compare bicomponent ultrashort echo time (UTE) parameters of patellar tendon
between healthy volunteers and patients with patellar tendinopathy. Materials and Methods …

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 …

Purpose This work demonstrates a 3D radial multi‐echo acquisition scheme for time‐
efficient sodium (23Na) MR‐signal acquisition and analysis. Echo reconstructions were …

Denoising of magnetic resonance (MR) images enhances diagnostic accuracy, the quality of
image manipulations such as registration and segmentation, and parameter estimation. The …

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 …

For T2 map**, the underlying mono-exponential signal decay is traditionally quantified by
non-linear Least-Squares Estimation (LSE) curve fitting, which is prone to outliers and …

Purpose: To investigate the robustness of four fitting methods for bi-component effective spin-
spin T2 (T2*) relaxation time analysis of human patellar tendon. Methods: A three …

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 …