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Abstract #2196

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

Praveen Dassanayake1,2, Lumeng Cui3, Elizabeth Finger2,4, Andrea Soddu5,6, Bjoern Jakoby7, Keith St. Lawrence1,2, Gerald Moran8, and Udunna Anazodo1,2
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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