This thesis proposes several different undersampling strategies to accelerate multi-shell
dMRI, and compares their performances based on the quality of estimated dMRI metrics and …

Multi-site imaging studies can increase statistical power and improve the reproducibility and
generalizability of findings, yet data often need to be harmonized. One alternative to data …

A great deal of neuroimaging research focuses on voxel-wise analysis or segmentation of
damaged tissue, yet many diseases are characterized by diffuse or non-regional …

Purpose Aim of this study is to assess the repeatability of radiomic features on magnetic
resonance images (MRI) and their stability to variations in time of repetition (TR), time of …

Objective: Compare diffusion MRI (dMRI)-derived conventional single-tensor (ST) and
advanced dMRI-derived metrics such as free-water (fiso)-corrected measures, Diffusion …

High-field, pre-clinical MRI systems are widely used to characterise tissue structure and
volume in small animals, using high resolution imaging. Both applications rely heavily on the …

Recent innovations in quantitative magnetic resonance imaging (MRI) measurement
methods have led to improvements in accuracy, repeatability, and acquisition speed, and …

The study of brain change in neuroscience studies is commonly conducted using
macroscopic morphological measures of the brain such as regional volume or cortical …

Objectives To assess the influence of gray-level discretization on inter-and intra-observer
reproducibility of texture radiomics features on clinical MR images. Materials and methods …

Performing quality control to detect image artifacts and data-processing errors is crucial in
structural magnetic resonance imaging, especially in developmental studies. Currently …