Abstract #4699

Measuring CSF shunt flow with MRI using flow enhancement of signal intensity (Shunt-FENSI)

Mingxiao Zhang^1,2, Natalie Aw^2,3, Mark Doose¹, Paul M. Arnold⁴, Jason Huston⁴, William C. Olivero², and Bradley P. Sutton²

¹Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ²Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ³Department of Electrical & Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁴Carle Foundation Hospital, Urbana, IL, United States

Ventriculo-peritoneal shunts are used for the treatment of hydrocephalus in pediatric patients. Monitoring the condition of CSF flow through the shunt is vital for identifying possible shunt failure. We propose an MRI-based monitoring technique, Shunt-FENSI, for accurate, quantitative and non-invasive shunt flow measurement. The Shunt-FENSI technique uses pseudocontinuous sub-voxel labeling to build up signal due to flow within a larger imaging voxel. We demonstrate high accuracy in phantom scans, where we match our tagged signal measurement with a simulation which includes tagging, flow, and T1 recovery.

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