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Abstract #1533

Vascular fingerprinting using DSC MRI for quantification of microvasculature in glioma

Krishnapriya Venugopal1, Esther A.H Warnert1, Daniƫlle van Dorth2, Marion Smits1, Juan Antonio Hernandez Tamames1, Matthias J.P van Osch2, and Dirk H.J Poot1
1Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, 2Radiology, Leiden University Medical Center, Leiden, Netherlands

This study uses a DSC based fingerprinting approach, monitoring the time evolution of a Hybrid (H) EPI sequence (HEPI) that simultaneously acquires GRE and SE. HEPI properties are incorporated from the scanner into a simulation of contrast agent extravasation and MR signal evolution. Signals simulated during bolus passage are used to construct GRE, SE and combined GRE-SE dictionaries in which vessel permeability (k), vessel radius (R), and cerebral blood volume fraction (rCBV) are varied. The dictionary is matched to in-vivo data of a brain tumor patient to retrieve information on the underlying microvasculature.

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