Abstract:
The comparison of data sets from individual subjects between
imaging modalities is necessary in order to evaluate the normal
physiologic responses of the brain or the pathophysiological changes
that accompany disease states. Similarly, it is critical to compare data
between individuals both within and across imaging modalities. In a
collaborative project with a number of university groups, we have
developed a system that allows for the within-subject alignment and
registration of three-dimensional data sets obtained from different
modalities for the same individuals. These data make use of proposed
criteria for the optimal solution to positron emission tomography image
acquisition and analysis originally established through a series of
international workshops. The analysis takes into account errors induced
by image acquisition, registration, and alignment with regard to
scaling, translation, and rotation. Using the principles of
morphometrics and homologous landmarks, the between-subject warping of
individual brain anatomy to match that of other individuals, groups or
an idealized model can be obtained. Resultant information can provide
averaged between-subject data for populations of normal individuals or
patients with specific neurologic disorders. Such a system, provides the
means by which to compare objectively quantitative data between
individuals in a highly automated fashion