Functional Magnetic Resonance Imaging (FMRI) is currently acquired in Time Series to detect non-invasively, in-vivo functional activity of the human brain, thus determining four dimentional data sets. Although detectable, due to the short time in betweeen the acquisition of the brain volumes, head motion is usually minimal, however its correction is quite relevant to the consistency of the analysis of the FMRI data. This book presents methodology and technology for registering FMRI Time Series. Math formulations are given along with software engineering descriptions of the algorithms employed...