Abstract #2196

Development and Evaluation of a software for Parametric Patlak mapping using PET/MRI input function (CALIPER).

Praveen Dassanayake^1,2, Lumeng Cui³, Elizabeth Finger^2,4, Andrea Soddu^5,6, Bjoern Jakoby⁷, Keith St. Lawrence^1,2, Gerald Moran⁸, and Udunna Anazodo^1,2

¹Department of Medical Biophysics, University of Western Ontario, London, ON, Canada, ²Lawson Health Research Institute, London, ON, Canada, ³Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada, ⁴Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada, ⁵Brain and Mind Institute, University of Western Ontario, London, ON, Canada, ⁶Department of Physics and Astronomy, University of Western Ontario, London, ON, Canada, ⁷Department of Physics, University of Surrey, Guildford, United Kingdom, ⁸Siemens Healthineers, Oakville, ON, Canada

Absolute quantification of tracer uptake in positron emission tomography (PET) requires the knowledge of an arterial input function (AIF) which involves invasive arterial blood sampling. Alternatively, input functions can be extracted by identifying feeding arteries from PET images. In this study we validated a software that uses magnetic resonance images to identify the feeding arteries in PET images to generate image derived input function (IDIF) for absolute quantification of PET. The ratio of area under curve between IDIFs and AIFs revealed that this tool can generate accurate IDIFs for non-invasive PET quantification.

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