caliPER: A software for blood-free parametric Patlak mapping using PET/MRI input function

NeuroImage

Andrea Soddu¹  Lumeng Cui²  Matthew Kewin³  Bjoern Jakoby⁴  Keith S St Lawrence⁵  Elizabeth Finger⁶  Jennifer Hadaway⁷  Praveen Dassanayake⁷  Sven Zuehlsdorf⁷  Gerald Moran⁸  Udunna C Anazodo⁹ 

[1] Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada;Department of Medical Biophysics, Western University, London, Ontario, Canada;Siemens Healthineers, Oakville, Mississauga, Ontario, Canada;Department of Medical Biophysics, Western University, London, Ontario, Canada;Department of Physics and Astronomy, Western University, London, Ontario, Canada;Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada;Lawson Health Research Institute, London, Ontario, Canada;Siemens Healthcare GmbH, Healthineers, Erlangen, Germany;Siemens Medical Solutions USA, Inc., Hoffman Estates, IL, USA;

关键词: Image-derived input function;    Patlak graphical analysis;    Parametric imaging;    PET/MRI;   

DOI  :  

来源: DOAJ

【 摘 要 】

Routine clinical use of absolute PET quantification techniques is limited by the need for serial arterial blood sampling for input function and more importantly by the lack of automated pharmacokinetic analysis tools that can be readily implemented in clinic with minimal effort. PET/MRI provides the ability for absolute quantification of PET probes without the need for serial arterial blood sampling using image-derived input functions (IDIFs). Here we introduce caliPER, a modular and scalable software for simplified pharmacokinetic modeling of PET probes with irreversible uptake or binding based on PET/MR IDIFs and Patlak Plot analysis. caliPER generates regional values or parametric maps of net influx rate (Ki) using reconstructed dynamic PET images and anatomical MRI aligned to PET for IDIF vessel delineation. We evaluated the performance of caliPER for blood-free region-based and pixel-wise Patlak analyses of [18F] FDG by comparing caliPER IDIF to serial arterial blood input functions and its application in imaging brain glucose hypometabolism in Frontotemporal dementia. IDIFs corrected for partial volume errors including spill-out and spill-in effects were similar to arterial blood input functions with a general bias of around 6–8%, even for arteries <5 mm. The Ki and cerebral metabolic rate of glucose estimated using caliPER IDIF were similar to estimates using arterial blood sampling (<2%) and within limits of whole brain values reported in literature. Overall, caliPER is a promising tool for irreversible PET tracer quantification and can simplify the ability to perform parametric analysis in clinical settings without the need for blood sampling.

【 授权许可】

Unknown