An overview of computational procedures for examining neuroanatomical variability is
presented. The review focuses on approaches that can be applied using the SPM software …

The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …

In this paper, we focus on the retrospective topology correction of surfaces. We propose a
technique to accurately correct the spherical topology of cortical surfaces. Specifically, we …

This paper presents a new technique for the automatic model-based segmentation of three-
dimensional (3-D) objects from volumetric image data. The development closely follows the …

The Fuzzy C-Means (FCM) algorithm is a widely used and flexible approach to automated
image segmentation, especially in the field of brain tissue segmentation from 3D MRI, where …

We describe a new algorithm for the automated segmentation of the hippocampus (Hc) and
the amygdala (Am) in clinical Magnetic Resonance Imaging (MRI) scans. Based on …

Accurate segmentation of the subcortical structures is frequently required in neuroimaging
studies. Most existing methods use only a T 1-weighted MRI volume to segment all …

We describe an automated 3-D segmentation system for in vivo brain magnetic resonance
images (MRI). Our segmentation method combines a variety of filtering, segmentation, and …

In this paper we propose a generic automatic approach for the parcellation of the cortical
surface into labeled gyri. These gyri are defined from a set of pairs of sulci selected by the …

This paper describes a method to infer the connectivity induced by white matter fibers in the
living human brain. This method stems from magnetic resonance tensor imaging (DTI), a …