Functional localization is a concept which involves the application of a sequence of
geometrical and statistical image processing operations in order to define the location of …

Image registration is a key step in a great variety of biomedical imaging applications. It
provides the ability to geometrically align one dataset with another, and is a prerequisite for …

Registration is an important component of medical image analysis and for analysing large
amounts of data it is desirable to have fully automatic registration methods. Many different …

Spatial normalization in functional imaging can encompass various processes, including
nonlinear warping to correct for intersubject differences, linear transformations to correct for …

The fine spatial scales of the structures in the human brain represent an enormous
challenge to the successful integration of information from different images for both within …

Rigid body registration is one of the simplest forms of image registration, so this chapter
provides an ideal framework for introducing some of the concepts that will be used by the …

Surface-based cortical registration methods that are driven by geometrical features, such as
folding, provide sub-optimal alignment of many functional areas due to variable correlation …

We investigate the introduction of cortical constraints for non rigid intersubject brain
registration. We extract sulcal patterns with the active ribbon method, presented by Le …

Although numerous methods to register brains of different individuals have been proposed,
no work has been done, as far as we know, to evaluate and objectively compare the …

Recent advancements in two noninvasive transcranial neuroimaging techniques, near-
infrared spectroscopy (NIRS) and transcranial magnetic stimulation (TMS), signify the …