Abstract #4321

Non-invasive estimation of arterial input function for imaging of cerebral blood flow on a PET/MR scanner

Mohammad Mehdi Khalighi¹, Audrey Peiwen Fan², Gaspar Delso³, Praveen K. Gulaka², Bin Shen⁴, Aileen Hoehne⁴, Prachi Singh², Jun-Hyung Park⁴, Dawn Holley², Frederick T. Chin^2,4, and Greg Zaharchuk^2,4

¹Applied Science Lab, GE Healthcare, Menlo Park, CA, United States, ²Radiology Department, Stanford University, Stanford, CA, United States, ³Applied Science Lab, GE Healthcare, Zurich, Switzerland, ⁴Molecular Imaging Program, Stanford University, Stanford, CA, United States

Accurate measurement of Arterial Input Function (AIF) is essential in quantitative analysis of cerebral blood flow (CBF) using ¹⁵O-H₂O PET imaging. The time-of-flight enabled Signa PET/MR scanner (GE Healthcare, Waukesha, WI, USA) provides quality PET images during the arrival of ¹⁵O-H₂O tracer to the brain arteries, which can be used for carotid artery segmentation. The optimal time frame to segment these brain arteries for image-based AIF, is found by binning the PET list file every second and plotting the total number of true and scatter coincident events over time.

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