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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