Whole-brain radiotherapy (WBRT) is the treatment backbone for many patients with brain
metastasis; however, its efficacy in preventing disease progression and the associated …

The deviation of continuous and discrete complex random variables from the traditional
proper and symmetric assumption to a generalized improper and asymmetric …

Quantitative magnetic resonance imaging (MRI) techniques are powerful tools for the study
of human tissue, but, in practice, their utility has been limited by lengthy acquisition times …

Objective To assess a new deep learning-based MR reconstruction method,“DLRecon,” for
clinical evaluation of peripheral nerves. Methods Sixty peripheral nerves were prospectively …

Purpose To develop a denoising strategy leveraging redundancy in high‐dimensional data.
Theory and Methods The SNR fundamentally limits the information accessible by MRI. This …

MP-PCA denoising has become the method of choice for denoising MRI data since it
provides an objective threshold to separate the signal components from unwanted thermal …

Objectives Glioblastoma multiforme (GBM), the most aggressive glial brain tumors, can
metabolize glucose through glycolysis and mitochondrial oxidation pathways. While specific …

Diffusion-weighted (DW) magnetic resonance spectroscopy (MRS) suffers from a lower
signal to noise ratio (SNR) compared to conventional MRS owing to the addition of diffusion …

Recovering the T 2 distribution from multi-echo T 2 magnetic resonance (MR) signals is
challenging but has high potential as it provides biomarkers characterizing the tissue micro …

Multi-parametric quantitative MRI (qMRI) of the spinal cord is a promising non-invasive tool
to probe early microstructural damage in neurological disorders. It is usually performed in …