This study discusses the development of a computer-generated phantom to com
pare the effects of image realignment programs on functional MRI (fMRI) pix
el activation. The phantom is a whole-head MRI volume with added random noi
se, activation, and motion. It allows simulation of realistic head motions
with controlled areas of activation. Without motion, the phantom shows the
effects of realignment on motion-free data sets. Prior to realignment, the
phantom illustrates some activation corruption due to motion. Finally, thre
e widely used realignment packages are examined. The results showed that th
e most accurate algorithms are able to increase specificity through accurat
e realignment while maintaining sensitivity through effective resampling te
chniques. In fact, accurate realignment alone is not a powerful indicator o
f the most effective algorithm in terms of true activation. (C) 2001 Wiley-
Liss, Inc.