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Abstract #1476

Quantitative Cerebral Perfusion in Rodents Assisted by Susceptibility Weighted Imaging

Rui Liu1, Renjie He2, Kurt H. Bockhorst2, Venkata K. Mogatadakala2, Ponnada A. Narayana2

1Department of Electrical and Computer Engineering, University of Houston, houston, TX, USA; 2Department of Diagnostic and Interventional Imaging, University of Texas Medical School at Houston, Houston, TX, USA

Synopsis: A method for accurate determination of the perfusion parameters based on dynamic susceptibility contrast MRI is proposed and applied to determine the hemodynamic parameters in a rat brain. Our algorithm is based on the singular valued decomposition (SVD) technique. In addition, we registered SWI images with gradient-echo EPI images to identify and exclude venous structures for improved estimation of hemodynamic parameters. The hemodynamic parameters calculated using our procedure agrees with those determined using the microsphere technique, considered to be the gold standard.