Arterial input function derived from pairwise correlations between PET-image voxels

作者：Schain Martin^*; Benjaminsson Simon; Varnas Katarina; For**erg Anton; Halldin Christer; Lansner Anders; Farde Lars; Varrone Andrea

来源：Journal of Cerebral Blood Flow and Metabolism, 2013, 33(7): 1058-1065.

DOI：10.1038/jcbfm.2013.47

• HRRT
• image-derived input function
• PET
• pharmacokinetic modeling
• voxel correlation

A metabolite corrected arterial input function is a prerequisite for quantification of positron emission tomography (PET) data by compartmental analysis. This quantitative approach is also necessary for radioligands without suitable reference regions in brain. The measurement is laborious and requires cannulation of a peripheral artery, a procedure that can be associated with patient discomfort and potential adverse events. A non invasive procedure for obtaining the arterial input function is thus preferable. In this study, we present a novel method to obtain image-derived input functions (IDIFs). The method is based on calculation of the Pearson correlation coefficient between the time-activity curves of voxel pairs in the PET image to localize voxels displaying blood-like behavior. The method was evaluated using data obtained in human studies with the radioligands [C-11]flumazenil and [C-11]AZ10419369, and its performance was compared with three previously published methods. The distribution volumes (V-T) obtained using IDIFs were compared with those obtained using traditional arterial measurements. Overall, the agreement in V-T was good (similar to 3% difference) for input functions obtained using the pairwise correlation approach. This approach performed similarly or even better than the other methods, and could be considered in applied clinical studies. Applications to other radioligands are needed for further verification.

• 出版日期2013-7