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Abstract #2050

Patlak Model Selection using Dynamic Contrast Enhanced T1-Weighted MR Measurement of Vascular Permeability

Abbas Babajani-Feremi1, Rajan Jain1,2, Jayant Narang1, Ali Syed Arbab1, Kourosh Jafari-Khouzani1, Mohammad-Reza Nazem-Zadeh3, Hamid Soltanian-Zadeh1,4

1Department of Radiology, Henry Ford Hospital, Detroit, MI, United States; 2Department of Neurosurgery, Henry Ford Hospital, Detroit, MI, United States; 3Department of Neurology, Henry Ford Hospital, Detroit, MI, United States; 4CIPCE, Electrical & Computer Engineering Department, University of Tehran, Tehran, Iran

We propose a method to find the best Patlak model that appropriately represents vascular permeability of tumor using dynamic contrast-enhanced T1-weighted magnetic resonance perfusion (DCET1MRP). Three Patlak models were developed . Model 1 estimates only vascular plasma volume (VP). Model 2 estimates VP and influx transfer constant (Ki). Model 3 estimates VP, Ki, and reverse transfer constant (Kb). Using least-square method, three models were fitted to dynamic data. F-statistic was used for model comparison. Based on analysis of 31 patients with brain tumors, we conclude that that F-statistic can be used to choose appropriate model for tumor and non-tumor regions.