Flow and permeability estimation from DCE data: 2-compartment exchange and Tofts models comparison
Guy Nadav 1,2 , Gilad Liberman 2,3 , Moran Artzi 2,4 , Nahum Kiryati 1 , and Dafna Ben Bashat 2,4
School of Electrical Engineering, Tel Aviv
University, Tel Aviv, Israel,
Brain Center, Tel Aviv Sourasky Medical Center, Tel
3Gonda Multidisciplinary Brain
Research Center, Bar Ilan University, Israel,
Faculty of Medicine and Sagol School of Neuroscience,
Tel Aviv University, Tel Aviv, Israel
In order to extract flow from DCE data, a 2-compartment
exchange model (2CXM) is needed. In this study we show
that flow is misinterpreted as permeability using the
standard 1-compartment model (ETM) on simulated data
that is based on 2CXM parameters. In real data, obtained
from a patient with brain tumor, highly vascularized
brain areas (veins and tumor) showed high flow and no
permeability using 2CXM, but high permeability using ETM.
This study shows that when utilizing ETM, care should be
taken when interpreting permeability maps and when
temporal resolution allows, the 2CXM should be used.
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