Abstract #1174

Modeling inflow effects in fast fMRI to quantify fluid flow

Baarbod Ashenagar ^1,2, Daniel Gomez^1,2,3, and Laura Lewis^1,2

¹Department of Biomedical Engineering, Boston University, Boston, MA, United States, ²Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, ³Department of Radiology, Harvard Medical School, Boston, MA, United States

Synopsis

Keywords: Signal Modeling, Velocity & Flow, time-of-flight, flow-enhanced fMRI signalFast fMRI has recently been shown to be an effective method for detecting dynamic changes in cerebrospinal fluid flow, enabling measurement of a critical process for maintenance of brain health. However, while the inflow signal measured using fast fMRI is a surrogate for the underlying flow dynamics, it does not directly reflect the velocity and dynamics of flow. To understand the mapping between flow and the flow-enhanced MR signals they generate, we developed and validated a mathematical forward model that uses velocity as input and simulates dynamic fMRI inflow signal intensities for each slice of the imaging volume.

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