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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. Chin2,4, and Greg Zaharchuk2,4

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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