Adaptively limiting image acquisition to areas of interest will allow more
efficient data acquisition time for in-depth characterization of areas of b
rain activation. We designed and implemented an adaptive image acquisition
scheme that uses a multiresolution-based strategy to zoom into the regions
of cortical activity. Real-time pulse prescription and data processing capa
bilities were combined with spatially selective radiofrequency encoding. Th
e method was successfully demonstrated in volunteers performing simple sens
orimotor paradigms for simultaneous activation of primary motor and cerebel
lar areas. We believe that real-time adaptation of spatial and temporal sam
pling to task-related changes will increase the efficiency and flexibility
of functional mapping experiments. Contrast-to-noise analysis in selected r
egions-of-interest was performed to quantitatively assess the multiresoluti
on adaptive approach. (C) 1999 Academic Press.