Real-time motion detection of functional MRI data

Abstract

Abstract: The objective of this work was to implement a motion detection algorithm on a commercial real-time functional MRI (fMRI) processing package for neurosurgical planning applications. A real-time motion detection module was implemented on a commercial real-time processing package. Simulated functional data sets with introduced translational, in-plane rotational and through-plane rotational motion were created. The coefficient of variation (COV) of the center of intensity was used as a motion quantification metric. COVs were calculated before and after image registration to determine the effectiveness of the motion correction, and the limits of correctability were determined. The motion detection module allowed for real-time quantification of the motion in an fMRI experiment. Along with knowledge of the limits of correctability, this enables determination of whether an experiment needs to be reacquired while the patient is in the scanner. This study establishes the feasibility of using real-time motion detection for presurgical planning fMRI, and established the limits of correctable motion.