Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

The human subcortex is a densely populated part of the brain, of which only 7% of the
individual structures are depicted in standard MRI atlases. In vivo MRI of the subcortex is …

Background Brain structure abnormalities throughout the course of Parkinson's disease
have yet to be fully elucidated. Objective Using a multicenter approach and harmonized …

Nonlinear registration of individual brain MRI scans to standard brain templates is common
practice in neuroimaging and multiple registration algorithms have been developed and …

Normative databases allow testing of novel hypotheses without the costly collection of
magnetic resonance imaging (MRI) data. Here we present the Amsterdam Ultra-high field …

The aging brain undergoes several anatomical changes that can be measured with
Magnetic Resonance Imaging (MRI). Early studies using lower field strengths have …

Background Automated segmentation of brain structures is an important task in structural
and functional image analysis. We developed a fast and accurate method for the striatum …

Psychiatric and neurological disorders are afflictions of the brain that can affect individuals
throughout their lifespan. Many brain magnetic resonance imaging (MRI) studies have been …

Automatic neuroimaging processing tools provide convenient and systematic methods for
extracting features from brain magnetic resonance imaging scans. One tool, FreeSurfer …

Mesopontine tegmental nuclei such as the cuneiform, pedunculotegmental, oral pontine
reticular, paramedian raphe and caudal linear raphe nuclei, are deep brain structures …