Abstract #2050

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

Abbas Babajani-Feremi¹, Rajan Jain^1,2, Jayant Narang¹, Ali Syed Arbab¹, Kourosh Jafari-Khouzani¹, Mohammad-Reza Nazem-Zadeh³, Hamid Soltanian-Zadeh^1,4

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.