An automated retrospective image registration based on mutual information is adapted to a
multislice functional magnetic resonance imaging (fMRI) acquisition protocol to provide …

Subject motion present during the time course of functional activation studies is a pervasive
problem in mapping the spatial and temporal characteristics of brain activity. In functional …

Existing groupwise image registration algorithms for longitudinal data generally ignore
continuous movements and signal changes that occur throughout image acquisition. We …

An important step in the analysis of fMRI time-series data is to detect, and as much as
possible, correct for subject motion during the course of the scanning session. Several …

Corruption of the image time series due to interimage head motion limits the clinical utility of
functional MRI. This paper presents a method for real‐time prospective correction of rotation …

In functional magnetic resonance imaging (fMRI) head motion can corrupt the signal
changes induced by brain activation. This paper describes a novel technique called …

Coregistration is essential for correcting head motion artifacts in functional magnetic
resonance imaging (fMRI). Coregistration algorithms typically realign images through …

Functional MR (fMR) has been useful in providing insight into the localization and detection
of neural cortical activity. However, patient head motion is inevitable over the course of most …

The objectives of this study were to use computer-generated phantoms containing real
subject motion to:(1) compare the sensitivity of four commonly used fMRI software packages …

Subject motion in functional magnetic resonance imaging (fMRI) studies can be accurately
estimated using realignment algorithms. However, residual changes in signal intensity …