Morphometric studies of medical images often include a nonrigid registration step from a
subject to a common reference. The presence of white matter multiple sclerosis lesions will …

Multiple sclerosis (MS) is a inflammatory autoimmune disease of the central nervous system
which damage the myelin layer of White Matter (WM) and Grey Matter (GM). The loss of …

This paper presents a novel approach of investigating registration performance of different
Multiple Sclerosis (MS) affected brain tissues with brain atlas by image inpainting technique …

Deformable registration of magnetic resonance images between patients with brain tumors
and healthy subjects has been an important tool to specify tumor geometry through location …

In medical imaging, multiple sclerosis (MS) lesions can lead to confounding effects in
automatic morphometric processing tools such as registration, segmentation and cortical …

A brain image registration algorithm, referred to as RABBIT, is proposed to achieve fast and
accurate image registration with the help of an intermediate template generated by a …

Spatial normalization is a key process in cross-sectional studies of brain structure and
function using MRI, fMRI, PET and other imaging techniques. A wide range of 2D surface …

Spatial normalization—the process of mapping subject brain images to an average template
brain—has evolved over the last 20+ years into a reliable method that facilitates the …

In this article we merge point feature and intensity-based registration in a single algorithm to
tackle the problem of multiple brain registration. Because of the high variability of the shape …

We introduce a method for registration of brain images acquired in clinical settings. The
algorithm relies on three-dimensional patches in a discrete registration framework to …