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Abstract #2766

A new method to generate a voxel-specific input function for the analysis of dynamic contrast-enhanced MRI data in patients with brain tumours

Georgios Krokos1, Neil Thacker1, Ibrahim Djoukhadar1, David Morris1, Alan Jackson1, and Asselin Marie-Claude1

1Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom

The parameters estimated in DCE-MRI studies vary greatly depending on the arterial input function. Moreover, a more complex model than the extended Tofts’ model (ETM) is needed in glioma patients. In this work, a method to generate a voxel-specific input function (VIF) is introduced and used with a two-tissue compartment model (2TCM) that separates the fast and slow kinetics of the Gd contrast agent. The VIF provided more accurate results in the superior sagittal sinus (SSS) than the internal carotid artery and combined with the 2TCM, significantly improved the fits to the tumour over the ETM using the SSS.

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