Automatic selection of arterial input function on dynamic contrast-enhanced MRI images: comparison of different methods
Zanderigo F, Cobelli C, Peruzzo D, Bertoldo A
University of Padova
Cerebral blood flow (CBF), blood volume (CBV), and mean transit time (MTT) can be estimated from DSC-MRI with gadolinium images by deconvolution given the arterial input function, AIF(t), and tissue concentration, C(t). Often AIF is found by manually inspecting tracer concentration maps which is very time consuming and operator dependent. In our study we compare 5 methods of AIF automatic selection, including a novel one. The performance of the methods are tested on a stenosis data set. To analyze the impact of partial volume presence a simulation study was also performed.