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
Parametric
Patlak mapping using positron emission tomography/magnetic resonance imaging
input function tool can extract reliable image derived input function in animal
and human models that can potentially be applied clinically for non-invasive
tracer kinetic modelling.
Figure 1. CALIPER’s (A). Graphical user interface consisting
(B). PET vessel accumulation, (C) and (D) MRI vessel segmentation prior to (E).
co-registration, selection of a region of interest from internal carotid
arteries and extracting a (F). IDIF corrected for PVE and spill-in contamination.
Figure 3. (A) IDIFs generated using TOF MR images and AIF of
a healthy human control indicating the shape of the entire curve and the
initial peak from 0 to 1000 s. (B). Two-sample t-test indicates no significant
changes in the ratio of AUC between IDIF and PBAIF for IDIFs generated using
TOF and MPRAGE MRI vessel masks.