The use of magnetic resonance imaging as a surrogate outcome measure in clinical trials, or
even as a prognosticator in the assessment of the natural evolution, assumes a close …

Magnetic resonance (MR) imaging is often used to characterize and quantify multiple
sclerosis (MS) lesions in the brain and spinal cord. The number and volume of lesions have …

Diagnosis of neurological diseases is a growing concern and one of the most difficult
challenges for modern medicine. According to the World Health Organisation's recent report …

Brain atrophy has emerged as a clinically relevant component of disease progression in
multiple sclerosis. Progressive loss of brain tissue bulk can be detected in vivo in a sensitive …

Automatic segmentation of multiple sclerosis (MS) lesions in brain MRI has been widely
investigated in recent years with the goal of helping MS diagnosis and patient follow-up …

A fully automated brain tissue segmentation method is optimized and extended with white
matter lesion segmentation. Cerebrospinal fluid (CSF), gray matter (GM) and white matter …

A new method has been developed for fully automated segmentation of white matter lesions
(WMLs) in cranial MR imaging. The algorithm uses information from T1-weighted (T1-w) …

We studied the anatomic and functional changes in various brain areas during the course of
Huntington's disease (HD) in a large cohort of mutation-positive individuals (n= 71) …

RATIONALE AND OBJECTIVES: Brain lesions, especially white matter lesions (WMLs), are
associated with cardiac and vascular disease, but also with normal aging. Quantitative …

The role of quantitative image analysis in large clinical trials is continuously increasing.
Several methods are available for performing white matter hyperintensity (WMH) volume …