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 Chin^1,5, Eva Kumlien⁶, Greg Zaharchuk^1,5, 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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