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Abstract #3335

Validation of an Image Derived Input Function Method for 15O-water PET/MR Brain Scans

Mohammad Mehdi Khalighi1, Audrey Peiwen Fan1, Mathias Engström2, Lieuwe Appel3, Gunnar Antoni4, Frederick T Chin1,5, Eva Kumlien6, Greg Zaharchuk1,5, and Mark Lubberink7

1Radiology, Stanford, Stanford, CA, United States, 2Applied Science lab, GE Healthcare, Uppsala, Sweden, 3PET Centre, Medical Imaging Centre, Uppsala University Hospital, Uppsala, Sweden, 4Medicinal Chemistry, Uppsala University, Uppsala, Sweden, 5Molecular Imaging Program, Stanford, Stanford, CA, United States, 6Neuroscience, Uppsala University, Uppsala, Sweden, 7Medical Physics, Uppsala University, Uppsala, Sweden

A recently introduced image-derived input function (IDIF) method on a PET/MR scanner addresses the spill-in and spill-over artifacts on the PET images by measuring the true carotid artery volume by an MR-angiogram. This study validates the IDIF method for quantification of cerebral blood flow (CBF) from 15O-water PET, using arterial blood sampling as the gold standard in 20 subjects. CBF measured by IDIF and BSIF were correlated (R2= 0.5) in the gray-matter and whole-brain, with average difference of only 3%.

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